Fuzzy control and modeling: Analytical foundations and applications

Fuzzy Control and Modeling: Analytical Foundations and Applications

Volumn , Issue , 2000, Pages 1-310

  Ying, Hao ^a  

^a UNIVERSITY OF TEXAS MEDICAL BRANCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CONTROL SYSTEM ANALYSIS; COST EFFECTIVENESS; FUZZY CONTROL; FUZZY SYSTEMS; REAL TIME SYSTEMS;

CLASSICAL COUNTERPART; CONTROL APPLICATIONS; CONVENTIONAL CONTROL; CONVENTIONAL FUZZY CONTROLLERS; SUFFICIENT AND NECESSARY CONDITION; SYSTEM ANALYSIS AND DESIGN; THEORETICAL DEVELOPMENT; UNIVERSAL APPROXIMATORS;

CONTROLLERS;

EID: 50249151111     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1109/9780470544730     Document Type: Book

References (295)

1. G. M. Abdelnour, J. Y. Cheung, C.-H. Chang, and G. Tinetti, “Application of describing functions in the transient response analysis of a three-term fuzzy controller,“ IEEE Transactions on Systems, Man and Cybernetics, 23, 603-606, 1993.
2. G. M. Abdelnour, J. Y. Cheung, C.-H. Chang, and G. Tinetti, “Steady-state analysis of a three-term fuzzy controller,” IEEE Transactions on Systems, Man and Cybernetics, 23, 607-610, 1993.
3. G. M. Abdelnour, C. H. Chang, F. H. Huang, and J. Y. Cheung, “Design of a fuzzy controller using input and output mapping factors, “IEEE Transactions on Systems, Man and Cybernetics, 21, 952-960, 1992.
4. S. Abe and M.-S. Lan, “Fuzzy rules extraction directly from numerical data for function approximation,” IEEE Transactions on Systems, Man, and Cybernetics, 25, 119-129, 1995.
5. M. Akay (ed.), Applications of Fuzzy Logic, IEEE Engineering in Medicine and Biology, 13(5), 1994.
6. Z. Amin, J. J. Donald, A. Masters, R. Kant, A. C. Steger, S. G. Bown, and W. R. Lees, “Hepatic metastases: Interstitial laser photocoagulation with real-time US monitoring and dynamic CT evaluation of treatment,” Radiology, 187, 339-347, 1993.
7. Y. Anzai, R. B. Lufkin, S. Hirschowitz, K. Farahani, and D. J. Castro, “MR imaging-histopathologic correlation of thermal injuries induced with interstitial ND.YAG laser irradiation in the chronic model,” Journal of Magnetic Resonance Imaging, 2, 671-678, 1992.
8. J. Aracil, A. Garcia-Cerezo, and A. Ollero, “Stability analysis of fuzzy control systems: A geometric approach,” in Artificial Intelligence, Expert Systems and Languages in Modelling and Simulation (Kulikowski et al., eds.), North-Holland, Amsterdam, 323-330, 1988.
9. R. A. de Asia, A. M. Benis, R. A. Jurado, and R. S. Litwak, “Management of postcardiotomy hypertension by microcomputer-controlled administration of sodium nitroprusside,” Journal of Thoracic Cardiovascular Surgery, 89, 115-120, 1985.
10. K. J. Astrom and B. Wittenmark, Computer Controlled Systems: Theory and Design (3rd ed.), Prentice Hall, Englewood Cliffs, NJ, 1997.
11. K. J. Astrom, C. C. Hang, P. Persson, and W. K. Ho, “Towards intelligent PID control,” Automatica, 28, 1-9, 1992.
12. C. M. Beacco, S. R. Mordon, and J. M. Brunetaud, “Development and experimental in vivo validation of mathematical modeling of laser coagulation,” Lasers in Surgery and Medicine, 14, 362-373, 1994.
13. M. R. Berthold and K.-R Huber, “Automatic construction of fuzzy graphs for function approximation,” Proceedings of 1996 Biennial Conference of the North American Fuzzy Information Processing Society, Berkeley, CA, 319-323, June 1996.
14. F. Bouslama and A. Ichikawa, “Fuzzy control rules and their natural control laws,” Fuzzy Sets and Systems, 48, 65-86, 1992.
15. F. Bouslama and A. Ichikawa, “Application of limit fuzzy controllers to stability analysis,” Fuzzy Sets and Systems, 49, 103-120, 1992.
16. M. Braae and D. A. Rutherford, “Theoretical and linguistic aspects of the fuzzy logic controller,” Automatica, 15, 15-30, 1979.
17. M. Braae and D. A. Rutherford, “Selection of parameters for a fuzzy logic controller,” Fuzzy Sets and Systems, 2, 185-199, 1979.
18. I. N. Bronshtein and K. A. Semendyayev, Handbook of Mathematics, Van Nostrand Reinhold Company, New York, 1985.
19. J. J. Buckley and H. Ying, “Fuzzy controller theory: limit theorems for linear fuzzy control rules,” Automatica, 25, 469-472, 1989.
20. J. J. Buckley and H. Ying, “Linear fuzzy controller: it is a linear non-fuzzy controller,” Information Sciences, 51, 183-192, 1990.
21. J. J. Buckley and H. Ying, “Expert fuzzy controller,” Fuzzy Sets and Systems, 44, 373-390, 1991.
22. J. J. Buckley, “Universal fuzzy controllers,” Automatica, 28, 1245-1248, 1992.
23. J. J. Buckley, “Sugeno type controllers are universal controllers,” Fuzzy Sets and Systems, 53, 299-303, 1993.
24. G. Calcev, “Some remarks on the stability of Mamdani fuzzy control systems,” IEEE Transactions on Fuzzy Systems, 6, 436-442, 1998.
25. S. G. Cao, N. W. Rees, and G. Feng, “Stability analysis of fuzzy control systems,” IEEE Transactions on Systems, Man and Cybernetics, 26, 201-204, 1996.
26. S. G. Cao, N. W. Rees, and G. Feng, “Lyapunov-like stability theorems for discrete-time fuzzy control systems,” International Journal of Systems Science, 28, 297-308, 1997.
27. S. G. Cao, N. W. Rees, and G. Feng, “Analysis and design for a class of complex control systems Part I: fuzzy modelling and identification,” Automatica, 33, 1017-1028, 1997.
28. S. G. Cao, N. W. Rees, and G. Feng, “Analysis and design for a class of complex control systems Part II: fuzzy controller design,” Automatica, 33, 1029-1039, 1997.
29. J. Carvajal, G.-R. Chen, and H. Ogmen, “Fuzzy PID controller: design, performance evaluation, and stability analysis,” Information Sciences, 123: 249-270, 2000.
30. D. J. Castro, R. E. Saxton, L. J. Layfield, et al., “Interstitial laser phototherapy assisted by magnetic resonance imaging: a new technique for monitoring laser-tissue interaction,” Laryngoscope, 100, 541-547, 1990.
31. J. L. Castro, “Fuzzy logic controllers are universal approximators,” IEEE Transactions on Systems, Man and Cybernetics, 25, 629-635, 1995.
32. J. L. Castro and M. Delgado, “Fuzzy systems with defuzzification are universal approximators,” IEEE Transactions on Systems, Man and Cybernetics, 26, 149-152, 1996.
33. C.-L. Chen and F.-C. Kuo, “Design and analysis of a fuzzy controller,” International Journal of Systems Science, 26, 1223-1248, 1995.
34. C -L. Chen, S.-N. Wang, C.-T. Hsieh, and F.-Y. Chang, “Theoretical analysis of crisp-type fuzzy logic controllers using various t-norm sum-gravity inference methods,” IEEE Transactions on Fuzzy Systems, 6, 122-136, 1998.
35. G.-R. Chen, “Conventional and fuzzy PID controllers: an overview,” International Journal of Intelligent Control and Systems, 1, 235-246, 1996.
36. G.-R. Chen and H. Ying, “BIBO stability of nonlinear fuzzy PI control systems,” Journal of Intelligent & Fuzzy Systems, 5, 245-256, 1997.
37. G.-R. Chen and H. Ying, Also appeared in Proceedings of the 3rd International Conference on Industrial Fuzzy Control and Intelligent Systems, 128-133, College Station, TX, 1993.
38. J.-G. Chen and L.-J. Chen, “Study on stability of fuzzy closed-loop control systems,” Fuzzy Sets and Systems, 57, 159-168, 1993.
39. J.-G. Chen, J.-H. Lu, and L.-J. Chen, “Analysis and synthesis of fuzzy closed-loop control systems,” IEEE Transactions on Systems, Man and Cybernetics, 25, 881-888, 1995.
40. J. Q. Chen, J. H. Lu, and L. J. Chen, “Analysis and synthesis of fuzzy closed-loop control systems,” IEEE Transactions on Systems, Man, and Cybernetics, 25, 881-887, 1995.
41. Y. Y. Chen, “The Global Analysis of Fuzzy Dynamic Systems,” Ph.D. Thesis, University of California, Berkeley, 1989.
42. E. W. Cheney, Introduction to Approximation Theory (2nd ed.), Chelsea Publishing Company, New York, 1982.
43. C. M. Cheng and N. W. Rees, “Stability analysis of fuzzy multivariable systems: vector Lyapunov function approach,” IEE Proceedings Control Theory and Applications, 144, 403-412, 1997.
44. S. Chiu, “Using fuzzy logic in control applications: beyond fuzzy PID control,” IEEE Control Systems Magazine, 18, 100-104, 1998.
45. I. Cilesiz, T. Springer, S. Thomsen and A. J. Welch, “Controlled temperature tissue fusion: argon laser welding of canine intestine in vitro,” Laser in Surgery and Medicine, 18, 325-334, 1996.
46. D. M. Cosgrove III, J. H. Petre, J. L. Waller, J. Y Roth, L. C. Shepherd, and L. H. Cohn, “Automated control of postoperative hypertension: a prospective, randomized multicenter study,” Annals of Thoracic Surgery, 47, 678-683, 1989.
47. A. Cumani, “On a possibilistic approach to the analysis of fuzzy feedback system,” IEEE Transactions on Systems, Man and Cybernetics, 12, 417-422, 1982.
48. N. Daikuzono, S. Suzuki, H. Tajiri, H. Tsunekawa, M. Ohyama, and S. N. Joffe, “Laserthermia: a new computer-controlled contact Nd:YAG system for interstitial local hyperthermia,” Lasers in Surgery and Medicine, 8, 254-258, 1988.
49. R.J.P. De Figueiredo and G.-R. Chen, Nonlinear Feedback Control Systems: An Operator Theory Approach, Academic Press, New York, 1993.
50. J. A. Deford, C. F. Babbs, U. H. Patel, N. E. Feamot, J. A. Marchosk, and C. J. Moran, “Design and evaluation of closed-loop feedback control of minimum temperatures in human intracranial tumours treated with interstitial hyperthermia,” Medical & Biological Engineering & Computing, 29, 197-206, 1991.
51. M. DeGlas, “Invariance and stability of fuzzy systems,” J. Math. Anal Appl., 199,299-319,1984.
52. P. B. Deshpande, “Improve quality control on-line with PID controllers,” Chemical Engineering Progress, 71-76, 1991.
53. J. A. Dickerson and B. Kosko, “Fuzzy function approximation with ellipsoidal rules,” IEEE Transactions on Systems, Man and Cybernetics, 26, 542-560, 1996.
54. Y.-S. Ding, H. Ying, and S.-H. Shao, “Necessary conditions for general MISO fuzzy systems as universal approximators,” Proceedings of1997 IEEE International Conference on Systems, Man, and Cybernetics, 3176-3181, Orlando, FL, October 12-15, 1997.
55. Y.-S. Ding, H. Ying, and S.-H. Shao, “Real-time fuzzy control of tissue temperature during laser heating,” International Journal of Intelligent Control and Systems, 2, 361-379, 1998.
56. Y.-S. Ding, H. Ying, and S.-H. Shao, “Structure and stability analysis of a Takagi-Sugeno fuzzy PI controller with application to tissue hyperthermia therapy,” Soft Computing, 2, 183-190, 1999.
57. Y.-S. Ding, H. Ying, and S.-H. Shao, “Typical Takagi-Sugeno fuzzy controllers: analytical structures, stability analysis and control of tissue temperature,” submitted to journal.
58. Y.-S. Ding, H. Ying, and S.-H. Shao, “Necessary conditions on minimal system configuration for general MISO fuzzy systems as universal approximators,” IEEE Transactions on Systems, Man and Cybernetics, in press.
59. D. Driankov, H. Hellendoom, and M. Reinfrank, An Introduction to Fuzzy Control, SpringerVerlag, Berlin, 1993.
60. O. Eyal and A. Katzir, “Thermal feedback control techniques for transistor-transistor logic triggered C02 laser used for irradiation of biological tissue utilizing infrared fiber-optic radiometry,” Applied Optics, 33, 1751-1754, 1994.
61. R Eykhoff, System Identification—Parameter and State Estimation, John Wiley & Sons, New York, 1974.
62. R. Faiz, S. Mordon, M. Staroswiecki, and J. M. Brunetaud, “Self-tuning control of Nd:YAG laser coagulation: principle,” Proceedings of SPIE Laser-Tissue Interaction III, 76-87, 1992.
63. S. S. Farinwata and G. Vachtsevanos, “Stability analysis of the fuzzy logic controller designed by the phase portrait assignment algorithm,” Proceedings of 2nd IEEE International Conference on Fuzzy Systems, San Francisco, CA, 1377-1382, 1993.
64. G. Feng, S. G. Cao, N. W. Rees, and C. K. Chak, “Design of fuzzy control systems with guaranteed stability,” Fuzzy Sets and Systems, 85, 1-10, 1997.
65. D. R Filev and R. R. Yager, “A generalized defuzzification method via BAD distributions,” International Journal of Intelligent Systems, 6, 687-697, 1991.
66. D. R Filev and R. R. Yager, “On the analysis of fuzzy logic controllers,” Fuzzy Sets and Systems, 68, 39-66, 1994.
67. G. F. Franklin, J. D. Powell, and M. L. Workman, Digital Control of Dynamic Systems (2nd ed.), Addison-Wesley Publishing Co., Reading, MA, 1992.
68. B. Friedland, Advanced Control System Design, Prentice Hall, Englewood Cliffs, NJ, 1996.
69. C.-C. Fuh and P.-C. Tung, “Robust stability analysis of fuzzy control systems,” Fuzzy Sets and Systems, 88, 289-298, 1997.
70. E. Furutani, M. Saeki, and M. Araki, “Shifted Popov criterion and stability analysis of fuzzy control systems,” Proceedings of the 31st Conference on Decision and Control, Tucson, AZ, 2790-2795, December 1992.
71. A. Garcia-Cerezo, A. Ollero, and J. Aracil, “Stability of fuzzy control systems by using nonlinear system theory,” Annual Review in Automatic Programming, 17, 121-126, 1993.
72. T. N. Glenn, S. Rastegar, and S. L. Jacques, “Finite element analysis of temperature controlled coagulation in laser irradiated tissue,” IEEE Transactions on Biomedical Engineering, 43, 79-87, 1996.
73. G. Godlewski, J. M. Bourgeois, P. Sambuc, C. Gouze, H. Ould-Said, J. J. Eledjam, S. Rouy, and C. Pignodel, “Ultrasonic and histopathological correlations of deep focal hepatic lesions induced by stereotaxic Nd-YAG laser applications,” Ultrasound Medicine & Biology, 14, 287-291, 1988.
74. D. E. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning, Addison-Wesley Publishing Co., Reading, MA, 1989.
75. V Gorrini, T. Salome, and H. Bersini, “Self-structuring fuzzy systems for function approximation,” Proceedings of1995 IEEE International Conference on Fuzzy Systems, Yokohama, Japan, 919-926, March 1995.
76. S. Gottwald and W. Pedrycz, “Analysis and synthesis of fuzzy controller,” Problems of Control and Information Theory, 14, 33-45, 1985.
77. A. Grauel and H. Mackenberg, “Mathematical analysis of the Sugeno controller leading to general design rules,” Fuzzy Sets and Systems, 85, 165-175, 1997.
78. J. W. Grizzle and P. V Kokotovic, “Feedback linearization of sampled-data systems,” IEEE Transactions on Automatic Control, 33, 857-859, 1988.
79. M. M. Gupta, J. B. Kiszka, and G. M. Trojan, “Multivariable structure of fuzzy control systems,” IEEE Transactions on Systems, Man and Cybernetics, 16, 638-656, 1986.
80. M. M. Gupta and J. Qi, “Theory of T-norms and fuzzy inference methods,” Fuzzy Sets and Systems, 40, 431-450, 1991.
81. M. M. Gupta and J. Qi, “Design of fuzzy logic controllers based on generalized T-operators,” Fuzzy Sets and Systems, 40, 473-489, 1991.
82. C. M. Haissig, “Tuning fuzzy feedback controllers using the circle criterion,” Proceedings of the 1996 IEEE International Conference on Control Applications, 85-90, 1996.
83. A. E. Hajjaji and A. Rachid, “Explicit formulas for fuzzy controller,” Fuzzy Sets and Systems, 62, 135-141, 1994.
84. C. Ham, Z.-H. Qu, and J. Kaloust, “Design of globally stabilizing robust fuzzy control for a class of nonlinear systems,” International Journal of Intelligent Control and Systems, 1, 261-271, 1996.
85. J. J. Hammond, W. M. Kirkendall, and R. V Calfee, “Hypertensive crisis managed by computer controlled infusion of sodium nitroprusside: a model for the closed loop administration of short acting vasoactive agents,” Computer Biomedical Research, 12, 97-108, 1979.
86. C. J. Harris and C. G. Moore, “Phase plane analysis tools for a class of fuzzy control,” Proceedings of 1st IEEE International Conference on Fuzzy Systems, 511-518, March 8-12, 1992.
87. C. J. Hartley and H. Ying, “Ultrasonic Doppler detection of laser-tissue interaction,” Ultrasound in Medicine and Biology, 20, 655-663, 1994.
88. C.-W. Hong, S.-H. Shao and H. Ying, “Real-time fuzzy control of speed and current of a D.C. Motor based on a microcomputer,” Journal of Electrical Automation (in Chinese), 42(6), 5-10, 1985.
89. G.-C. Hwang and S.-C. Lin, “A stability approach to fuzzy control design for nonlinear systems,” Fuzzy Sets and Systems, 48, 279-287, 1992.
90. S. Isaka and A. V Sebald, “An optimization approach for fuzzy controller design,” IEEE Transactions on Systems, Man and Cybernetics, 22, 1469-1473, 1993.
91. A. Isidori, Nonlinear Control Systems (3rd ed.), Springer, Berlin, 1995.
92. M. Jamshidi, Large-Scale Systems: Modeling, Control and Fuzzy Logic, Prentice Hall PTR, Upper Saddle River, NJ, 1997.
93. M. Jamshidi, N. Vadiee, and T. J. Ross, Fuzzy Logic and Control, Prentice Hall, Englewood Cliffs, NJ, 1993.
94. G. Ju and L.-J. Chen, “Linguistic stability analysis of fuzzy closed loop control systems,” Fuzzy Sets and Systems, 82, 27-34, 1996.
95. A. Kandel and G. Langholz (ed.), Fuzzy Control Systems, CRC Press, Boca Raton, FL, 1994.
96. H. Kang, “Stability and control of fuzzy dynamic systems via cell-state transitions in fuzzy hypercubes,” IEEE Transactions on Fuzzy Systems, 1, 267-279, 1993.
97. A. A. Kania, J. B. Kiszka, M. B. Gorzalczany, J. R. Maj, and M. S. Stachowicz, “On stability of formal fuzziness systems,” Information Sciences, 22, 51-68, 1980.
98. A. Katzir, Lasers and Optical Fibers in Medicine, Academic Press, New York, 1995.
99. H. K. Khalil, Nonlinear Systems (2nd ed.), Macmillan Publishing Co., New York, 1996.
100. W. J. M. Kickert and E. H. Mamdani, “Analysis of a fuzzy logic controller,” Fuzzy Sets and Systems, 1, 29-44, 1978.
101. S. D. Klioze, D. P. Poppas, and C. T. Rooke, “Development and initial application of a real time thermal control system for laser tissue welding,” Journal of Urology, 152(Pt. 2), 744-748, 1994.
102. G. J. Klir and T. A. Folger, Fuzzy Sets, Uncertainty, and Information, Prentice Hall, Englewood Cliffs, NJ, 1988.
103. G. J. Klir and B. Yuan, Fuzzy Sets and Fuzzy Logic: Theory and Applications, Prentice Hall PTR, Englewood Cliffs, NJ, 1995.
104. H. Kiendle and J. J. Ruger, “Stability analysis of fuzzy control systems using facet functions,” Fuzzy Sets and Systems, 70, 275-285, 1995.
105. W. C. Kim, S. C. Ahn, and W. H. Kwon, “Stability analysis and stabilization of fuzzy state space models,” Fuzzy Sets and Systems, 71, 131-142, 1995.
106. J. B. Kiszka, M. M. Gupta, and P. N. Nikiforuk, “Energetistic stability of fuzzy dynamic systems,” IEEE Transactions on Systems, Man and Cybernetics, 15, 783-792, 1985.
107. J. B. Kiszka, M. M. Gupta, and G. M. Trojan, “Multivariable fuzzy controller under GodePs implication,” Fuzzy Sets and Systems, 34, 301-321, 1990.
108. J. Kluska, “Stability analysis of SISO, MISO and MIMO continuous fuzzy control systems based on theorems of Kudrewicz,” Archives of Control Sciences, 5, 5-37, 1996.
109. L. T. Koczy and M. Sugeno, “Explicit function of fuzzy control systems,” International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 4, 515-535, 1996.
110. L. T. Koczy and A. Zorat, “Fuzzy systems and approximation,” Fuzzy Sets and Systems, 85, 203-222, 1997.
111. B. Kosko, Neural Networks and Fuzzy Systems: A Dynamical Systems Approach to Machine Intelligence, Prentice-Hall, Englewood Cliffs, NJ, 1991.
112. B. Kosko, “Fuzzy systems as universal approximators,” Proceedings of IEEE International Conference on Fuzzy Systems, 1153-1162, San Diego, CA, 1992.
113. B. Kosko, “Fuzzy systems as universal approximators,” IEEE Transactions on Computers, 43, 1329-1333, 1994.
114. I. Kouatli and B. Jones, “A guide to the design of fuzzy control systems for manufacturing processes,” Journal of Intelligent Manufacturing, 1, 231-244, 1990.
115. M. Kurano, M. Yasuda, J. Nakagami, and Y. Yoshida, “A limit theorem in some dynamic fuzzy systems,” Fuzzy Sets and Systems, 51, 83-88, 1992.
116. R. Langari, “A nonlinear formulation of a class of fuzzy linguistic control algorithms,” Proceedings of 1992 American Control Conference, Chicago, EL, 1992.
117. R. Langari and M. Berenji, “Fuzzy logic in control engineering,” In Handbook of Intelligent Control (eds. D. White and D. Sofge), Van Nostrand Reinhold, New York, 1992.
118. R. Langari and M. Tomizuka, “Analysis and design of fuzzy linguistic control systems,” Proceedings of ASME Winter Annual Meeting, 35-42, 1990.
119. R. Langari and M. Tomizuka, “Stability of fuzzy linguistic control systems,” Proceedings of the 29th Conference on Decision and Control, 2185-2190, Honolulu, HA, December 1990.
120. E. G. Laukonen and K. M. Passino, “Fuzzy systems for function approximation with applications to failure estimation,” Proceedings of the 1994 IEEE International Symposium on Intelligent Control, 184-189, Columbus, OH, August 1994.
121. C. C. Lee, “Fuzzy logic in control systems: fuzzy logic controller—Part I & II,” IEEE Transactions on Systems, Man and Cybernetics, 20, 404-435, 1990.
122. J. Lee, “On methods for improving performance of Pi-type fuzzy logic controllers,” IEEE Transactions on Fuzzy Systems, 1, 298-301, 1993.
123. J. Lee and S. Chae, “Analysis on function duplicating capabilities of fuzzy controllers,” Fuzzy Sets and Systems, 56, 127-143, 1993.
124. P. G. Lee, R. N. Lea, P. E. Turk, H. Ying, and J. L. Whitson, “Denitrification in aquaculture systems: an example of a fuzzy logic control problem,” Aquacultural Engineering, in press.
125. W. S. Levine (ed.), The Control Handbook, CRC Press and IEEE Press, Boca Raton, FL, 1996.
126. F. L. Lewis and K. Liu, “Towards a paradigm for fuzzy logic control,” Automatica, 32, 167-181, 1996.
127. F. L. Lewis, S.-Q. Zhu, and K. Liu, “Function approximation by fuzzy systems,” Proceedings of the 1995 American Control Conference, 3760-3764, Seattle, WA, June 1995.
128. H.-X. Li, “A comparative design and tuning for conventional fuzzy control,” IEEE Transactions on Systems, Man and Cybernetics, 27, 884-889, 1997.
129. H.-X. Li and H. B. Gatland, “A new methodology for designing a fuzzy logic controller,” IEEE Transactions on Systems, Man and Cybernetics, 25, 505-512, 1995.
130. H.-X. Li and H. B. Gatland, “Conventional fuzzy control and its enhancement,” IEEE Transactions on Systems, Man and Cybernetics, 26, 791-797, 1996.
131. W. Li, “Design of a hybrid fuzzy logic proportional plus conventional integral-derivative controller,” IEEE Transactions on Fuzzy Systems, 6, 449-463, 1998.
132. J. T. Lim, “Absolute stability analysis of class of nonlinear plants with fuzzy logic controllers,” Electronics Letters, 28, 1968-1970, 1992.
133. W.-L. Lin, R. B. Roemer, and K. Hynynen, “Theoretical and experimental evaluation of a temperature controller for scanned focused ultrasound hyperthemia,” Medical Physics, 17, 615-625, 1990.
134. D. A. Linkens, “Adaptive and intelligent control in anesthesia,” IEEE Control Systems Magazine, 12, 6-11, 1992.
135. D. A. Linkens and M. F. Abbod, “Supervisory intelligent control using a fuzzy logic hierarchy,” Transactions of Instrument Measurement and Control, 15, 112-114, 1993.
136. L. Ljung, System Identification: Theory for the User, Prentice Hall, Englewood Cliffs, NJ, 1987.
137. L. Ljung and T. Glad, Modeling of Dynamic Systems, Prentice Hall PTR, Englewood Cliffs, NJ, 1994.
138. J.-L. Lu, H. Ying, Z.-G. Sun, and G.-R. Chen, “Real-time ultrasound-guided fuzzy control of tissue coagulation during laser heating,” Information Sciences, 123: 271-280, 2000.
139. M. Maeda and E. Fukumiya, “Stability analysis of fuzzy control system by 3D space display,” JSME International Journal (Series C, Dynamics), 37, 685-691, 1994.
140. H. A. Malki, H. Li, and G.-R Chen, “New design and stability analysis of fuzzy proportionalderivative control systems,” IEEE Transactions on Fuzzy Systems, 2, 245-254, 1994.
141. H. A. Malki, D. Misir, D. Feigenspan, and G.-R. Chen, “Fuzzy PID control of a flexible-joint robot arm with uncertainties from time-varying loads,” IEEE Transactions on Control Systems Technology, 5, 371-378, 1997.
142. E. H. Mamdani, “Application of fuzzy algorithms for simple dynamic plant,” Proceedings of IEEE, 121, 1585-1588, 1974.
143. E. H. Mamdani and S. Assilian, “An experiment in linguistic synthesis with a fuzzy logic controller,” International Journal of Man-Machine Studies, 1, 1-13, 1975.
144. D. M. Mandelbaum, “On cyclically time-varying autoregressive digital filters,” Circuits, Systems, Signal Processing, 16, 91-106, 1997.
145. G. K. I. Mann, B.-G. Hu, and R. G. Gosine, “Analysis of direct action fuzzy PID controller structures,” IEEE Transactions on Systems, Man and Cybernetics (Part B), 29, 371-388, 1999.
146. J. P. Marin and A. Titli, “Robust performances of closed-loop fuzzy systems: a global Lyapunov approach,” Proceedings of the Fifth IEEE International Conference on Fuzzy Systems, 732-737, New Orleans, LA, September 1996.
147. R. J. Marks II (ed.), Fuzzy Logic Technology and Applications, IEEE Press, Piscataway, NJ, 1993.
148. J. E. Marshall, Control of Time-Delay Systems, Peter Peregrinus, Stevenage, UK, 1979.
149. J. E Martin, A. M. Schneider, and N. T. Smith, “Multiple-model adaptive control of blood pressure using sodium nitroprusside,” IEEE Transactions in Biomedical Engineering, 34, 603-611, 1987.
150. F. Matia, A. Jimenez, R. Galan, and R. Sanz, “Fuzzy controllers: lifting the linear-nonlinear frontier,” Fuzzy Sets and Systems, 52, 113-128, 1992.
151. A. L. McKenzie, “Physics of thermal processes in laser-tissue interaction,” Physics in Medicine and Biology, 35, 1175-1209, 1990.
152. D. McNeill and P. Freiberger, Fuzzy Logic, Simon & Schuster, New York, 1993.
153. L. J. Meline, D. R. Westenskow, N. L. Pace, and M. N. Bodily, “Computer-controlled regulation of sodium nitroprusside infusion,” Anesthesia and Analgesia, 64, 38-42, 1985.
154. J. M. Mendel, “Fuzzy logic systems for engineering: a tutorial,” Proceedings of the IEEE, 83, 345-377, 1995.
155. K. Michels and R. Kruse, “Numerical stability analysis for fuzzy control,” International Journal of Approximate Reasoning, 16, 3-24, 1997.
156. D. Misir, H. A. Malki, and G.-R. Chen, “Design and analysis of a fuzzy proportional-integralderivative controller,” Fuzzy Sets and Systems, 79, 297-314, 1996.
157. S. Mitaim and B. Kosko, “Fuzzy function approximation and the shape of fuzzy sets,” Proceedings of the International Conference on Neural Information Processing, 210-215, Hong Kong, September 1996.
158. M. Mizumoto, “Fuzzy controls under various fuzzy reasoning methods,” Information Sciences, 45, 129-151, 1988.
159. P. H. Moller, L. Lindbreg, P. H. Henriksson, B. R Persson, and K. G. Tranberg, “Temperature control and light penetration in a feedback interstitial laser thermal therapy system,” International Journal of Hyperthermia, 12, 49-63, 1996.
160. S. Mordon, B. Buys, J.-P. Sozanski, J. M. Brunetaud, and Y. Moschetto, “Adaptive control of a medical Nd: YAG laser for tissue coagulation,” Proceedings of IEEE Engineering in Medicine & Biology Society 10th Annual International Conference, 1266-1268, 1998.
161. S. R. Mordon, A. H. Comil, B. Buys, J. P. Sozanski, J. M. Brunetaud, and Y. Moschetto, “Development of controlled Nd:YAG laser for medical applications,” Medical Instrumentation, 21, 222-225, 1987.
162. G. C. Mouzouris and J. M. Mendel, “Nonsingleton fuzzy logic systems: theory and application,” IEEE Transactions on Fuzzy Systems, 5, 56-71, 1997.
163. G. C. Mouzouris and J. M. Mendel, “Dynamic non-singleton fuzzy logic systems for nonlinear modeling,” IEEE Transactions on Fuzzy Systems, 5, 199-208, 1997.
164. H. Nakanishi, I. B. Turksen, and M. Sugeno, “A review and comparison of six reasoning methods,” Fuzzy Sets and Systems, 57, 257-266, 1993.
165. H. T. Nguyen, V Kreinovich, and O. Sirisaengtaksin, “Fuzzy control as a universal control tool,” Fuzzy Sets and Systems, 80, 71-86, 1996.
166. J. S. Packer, D. G. Mason, J. F. Cade, and S. M. Mckinley, “An adaptive controller for closed-loop management of blood pressure in seriously ill patients,” IEEE Transactions in Biomedical Engineering, 34, 612-616, 1987.
167. R. Palm, “Robust control by fuzzy sliding mode,” Automatica, 30, 1429-1437, 1994.
168. R. Palm and U. Rehfuess, “Fuzzy controllers as gain scheduling approximators,” Fuzzy Sets and Systems, 85, 233-246, 1997.
169. K. M. Passino and S. Yurkovich, Fuzzy Control, Addison-Wesley, Reading, MA, 1998.
170. J. Pearce and S. Thomsen, “Rate process analysis of thermal damage,” Optical-Thermal Response of Laser-Irradiated Tissue, A. J. Welch and M. J. C. van Gemert (eds.), Plenum, 561-606, 1995.
171. W. Pedrycz, Fuzzy Control and Fuzzy Systems, Research Studies Press Ltd., 1989.
172. J. H. Petre, D. M. Cosgrove, and F. G. Estafanous, “Closed loop computerized control of sodium nitroprusside,” Transactions of the American Society for Artificial Intern Organs, 39, 501-505, 1983.
173. Y. M. Pok and J. X. Xu, “An analysis of fuzzy control systems using vector space,” Proceedings of the Second IEEE International Conference on Fuzzy Systems, 363-368, San Francisco, CA, 1993.
174. D. P. Poppas, R. B. Stewart, J. M. Massicotte, A. E. Wolga, R. T. Kung, A. B. Retik, and M. R. Freeman, “Temperature-controlled laser photocoagulation of soft tissue: in vivo evaluation using a tissue welding model,” Lasers in Surgery and Medicine, 18, 335-344, 1996.
175. M. J. Powell, Approximation Theory and Methods, Cambridge University Press, Cambridge, 1981.
176. W. Z. Qiao and M. Mizumoto, “PID type fuzzy controller and parameters adaptive method,” Fuzzy Sets and Systems, 78, 23-35, 1996.
177. G. V S. Raju and J. Zhou, “Adaptive hierarchical fuzzy control,” IEEE Transactions on Systems, Man and Cybernetics, 23, 973-980, 1993.
178. K. S. Ray, A. Ghosh, and D. D. Majumder, “L2-stability and related design concept for SISO linear system associated with fuzzy logic controller,” IEEE Transactions on Systems, Man and Cybernetics, 14, 932-939, 1984.
179. K. S. Ray and D. D. Majumder, “Application of circle criteria for stability analysis of linear SISO and MEMO systems associated with fuzzy logic controller,” IEEE Transactions on Systems, Man and Cybernetics, 14, 345-349, 1984.
180. W. Rudin, Principles of Mathematical Analysis (3rd ed.), McGraw-Hill, New York, 1976.
181. D. E. Rumelhart, J. L. McClelland, and the PDP Research Group, Parallel Distributed Processing: Volume 1.Foundations, The MIT Press, Cambridge, MA, 1986.
182. M. Santos, S. Dormido, and J. M. de la Cruz, “Fuzzy-PID controllers vs. fuzzy-PI controllers,” Proceedings of the Fifth IEEE International Conference on Fuzzy Systems, 1598-1604, New Orleans, LA, September 1996.
183. M. Santos, S. Dormido, and J. M. de la Cruz, “Derivative action in PID-fuzzy controllers,” Cybernetics and Systems, 21, 413-424, 1996.
184. O. Shenfeld, E. Ophir, B. Goldwasser, and A. Katzir, “Silver halide fiber optic radiometric temperature measurement and control of C02 laser-irradiated tissues and application to tissue welding,” Lasers in Surgery and Medicine, 14, 323-328, 1994.
185. L. C. Sheppard, “Computer control of the infusion of vasoactive drugs,” Annals of Biomedical Engineering, 8, 431-444, 1980.
186. F. G. Shinskey, Process Control Systems: Applications, Design, and Tuning (4th ed.), McGraw-Hill, New York, 1996.
187. W. Siler and H. Ying, “Fuzzy control theory: the linear case,” Fuzzy Sets and Systems, 33, 275-290, 1989.
188. J. Sjoberg, Q. Zhang and L. Ljung, “Nonlinear black-box modeling in system identification: a unified overview,” Automatica, 31, 1691-1724, 1995.
189. J. B. Slate, “Model-based design of a controller for infusion sodium nitroprusside during postsurgical hypertension,” Ph.D. Thesis, University of Wisconsin-Madison, 1980.
190. J. B. Slate and L. C. Sheppard, “Automatic control of blood pressure by drug infusion,” IEE Proceedings, Part A, 129(9), 1982.
191. J. B. Slate, L. C. Sheppard, V C. Rideout, and E. H. Blackstone, “A model for design of a blood pressure controller for hypertensive patients,” Proceedings of 5th IFAC Symposium Identification and System Parameter Estimation, Darmstadt, F. R., Germany, September 1979.
192. J-J.E. Slotine and W. Li, Applied Nonlinear Control, Prentice Hall, Englewood Cliffs, NJ, 1991.
193. P. Sooraksa and G.-R. Chen, “Fuzzy (PI + D)2 control for flexible robot arms,” Proceedings of the 1996 IEEE International Symposium on Intelligent Control, 536-541, New York, September 1996.
194. T. A. Springer and A. J. Welch, “Temperature control during laser vessel welding,” Applied Optics, 32, 517-525, 1993.
195. R. B. Stewart, A. Benbrahim, G. M. LaMuraglia, M. Rosenberg, G. J. L’ltalien, W. M. Abbott, and R. T. Kung, “Laser assisted vascular welding with real time temperature control,” Lasers in Surgery and Medicine, 19, 9-16, 1996.
196. M. Sugeno, “An introductory survey of fuzzy control,” Information Sciences, 36(1), 59-83, 1985.
197. M. Sugeno (ed.), Industrial Applications of Fuzzy Control, Elsevier Science Publishers, North-Holland, Amsterdam, 1985.
198. M. Sugeno, “Stability of fuzzy systems expressed by fuzzy rules with singleton consequents,” IEEE Transactions on Fuzzy Systems, 1, 201-224, 1999.
199. M. Sugeno and K. T. Kang, “Structure identification of fuzzy model,” Fuzzy Sets and Systems, 28, 1988.
200. M. Sugeno and T. Yasukawa, “A fuzzy-logic-based approach to qualitative modeling,” IEEE Transactions on Fuzzy Systems, 1(1), 1993.
201. Z.-G. Sun and H. Ying, “A multi-gate time-of-flight technique for estimation of temperature distribution in heated tissue: theory and computer simulation,” Ultrasonica, 37, 107-122, 1999.
202. Z.-G. Sun, H. Ying, J.-L. Lu, B. Bell, and D. F. Cowan, “Automatic ultrasound determination of thermal coagulation front during tissue heating,” IEEE Transactions on Ultrasonics, Ferro-electrics, and Frequency Control, 5, 1134-1146, 1999.
203. T. Takagi and M. Sugeno, “Fuzzy identification of system and its applications to modeling and control,” IEEE Transactions on Systems, Man and Cybernetics, 15, 116-132, 1985.
204. S.-H. Tan, C.-C. Hang, and J.-S. Chai, “Gain scheduling: from conventional to neuro-fuzzy,” Automatica, 33, 411-419, 1997.
205. K. Tanaka, T. Ikeda, and H. O. Wang, “Robust stabilization of a class of uncertain nonlinear systems via fuzzy control: quadratic stabilizability, H infinity control theory, and linear matrix inequalities,” IEEE Transactions on Fuzzy Systems, 4,1-13, 1996.
206. K. Tanaka and M. Sano, “A robust stabilization problem of fuzzy control systems and its application to backing up control of a truck-trailer,” IEEE Transactions on Fuzzy Systems, 2, 119-134, 1994.
207. K. Tanaka and M. Sugeno, “Stability analysis and design of fuzzy control systems,” Fuzzy Sets and Systems, 45, 135-156, 1992.
208. K. L. Tang and R. J. Mulholland, “Comparing fuzzy logic with classical control designs,” IEEE Transactions on Systems, Man and Cybernetics, 17, 1085-1087, 1987.
209. M.A.L. Thathachar and R Viswanath, “On the stability of fuzzy systems,” IEEE Transactions on Fuzzy Systems, 5, 145-151, 1997.
210. C.-S. Ting, T.-H. S. Li, and F.-C. Kung, “An approach to systematic design of the fuzzy control system,” Fuzzy Sets and Systems, 11, 151-166, 1996.
211. M. Togai and R R Wang, “Analysis of a fuzzy dynamic system and synthesis of its controller,” International Journal of Man-Machine Studies, 22, 355-363, 1985.
212. R. M. Tong, “A control engineering review of fuzzy systems,” Automatica, 13, 1977.
213. R. M. Tong, “Some properties of fuzzy feedback systems,” IEEE Transactions on Systems, Man and Cybernetics, 10, 327-330, 1980.
214. R. M. Tong, “An annotated bibliography of fuzzy control,” Industrial Applications of Fuzzy Control, M. Sugeno (ed.), Elsevier Science Publishers, North-Holland, Amsterdam, 1985.
215. P. VanBaren and E. S. Ebbini, “Multipoint temperature control during hyperthermia treatments: theory and simulation,” IEEE Transactions on Biomedical Engineering, 42, 818-827, 1995.
216. G. I. Voss, P. G. Katona, and H. J. Chizeck, “Adaptive multivariable drug delivery: control of arterial pressure and cardiac output in anesthetized dogs,” IEEE Transactions in Biomedical Engineering, 34, 617-623, 1987.
217. H. O. Wang, K. Tanaka, and M. F. Griffin, “An approach to fuzzy control of nonlinear systems: stability and design issues,” IEEE Transactions on Fuzzy Systems, 4, 14-23, 1996.
218. L. Wang and R. Langari, “Building Sugeno-type models using fuzzy discretization and orthogonal parameter estimation techniques,” IEEE Transactions on Fuzzy Systems, 3, 454-458, 1995.
219. L. Wang and R. Langari, “Complex systems modeling via fuzzy logic,” IEEE Transactions on Systems, Man, and Cybernetics (Part B), 26, 100-106, 1996.
220. L. Wang and R. Langari, “Identification of time-varying fuzzy systems,” International Journal of General Systems, 25, 203-218, 1996.
221. L.-X. Wang, “Fuzzy systems are universal approximators,” Proceedings of IEEE International Conference on Fuzzy Systems, 1163-1170, San Diego, CA, 1992.
222. L.-X. Wang, Adaptive Fuzzy Systems and Control: Design and Stability Analysis, Prentice Hall, Englewood Cliffs, NJ, 1994.
223. L.-X. Wang, A Course in Fuzzy Systems and Control, Prentice Hall PTR, Englewood Cliffs, NJ, 1997.
224. L.-X. Wang, “Universal approximation by hierarchical fuzzy systems,” Fuzzy Sets and Systems, 93, 223-230, 1998.
225. L.-X. Wang, and J. M. Mendel, “Fuzzy basis functions, universal approximation, and orthogonal least-squares learning,” IEEE Transactions on Neural Networks, 3, 807-814, 1992.
226. P.-Z. Wang, S.-H. Tan, F.-M. Song, and P. Liang, “Constructive theory for fuzzy systems,” Fuzzy Sets and Systems, 88, 195-203, 1997.
227. P.-Z. Wang, H.-M. Zhang, and W. Xu, “Pad-analysis of fuzzy control stability,” Fuzzy Sets and Systems, 38, 27-42, 1990.
228. X. Wang and T. Matsumoto, “New time-domain stability criterion for fuzzy control systems,” IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, E79-A(10), 1700-1706, 1996.
229. A. J. Welch, “The thermal response of laser irradiated tissue,” IEEE Journal of Quantum Electronics, 20, 1471-1481, 1984.
230. A. J. Welch and M. J. C. van Gemert (ed.), Optical-Thermal Response of Laser-Irradiated Tissue, Plenum, 561-606, 1995.
231. C. C. Wong, C. H. Chou and D. L. Mon, “Studies on the output of fuzzy controller with multiple inputs,” Fuzzy Sets and Systems, 57, 149-158, 1993.
232. L. K. Wong, F.H.F. Leung, and P.K.S. Tam, “Lyapunov function based design of heuristic fuzzy logic controllers,” Proceedings of the Sixth IEEE International Conference on Fuzzy Systems, 281-285, Barcelona, Spain, July 1997.
233. L. K. Wong, F.H.F. Leung, and P.K.S. Tam, “Lyapunov-function-based design of fuzzy logic controllers and its application on combining controllers,” IEEE Transactions on Industrial Electronics, 45, 502-509, 1998.
234. J. C. Wu and T. S. Liu, “Fuzzy control stabilization with applications to motorcycle control,” IEEE Transactions on Systems, Man and Cybernetics, Part B, 26, 836-847, 1996.
235. D. R. Wyman, C. L. Swift, R. A. Siwek, and B. C. Wilson, “A control method for a nonlinear multivariable system: application to interstitial laser hyperthermia,” IEEE Transactions on Biomedical Engineering, 38, 891-898, 1991.
236. D. R. Wyman, B. C. Wilson, and D. E. Malone, “Medical imaging systems for feedback control of interstitial laser photocoagulation,” Proceedings of the IEEE, 80, 890-902, 1992.
237. C. W. Xu and Y. Z. Lu, “Decoupling in fuzzy systems: a cascade compensation approach,” Fuzzy Sets and Systems, 29, 177-185, 1989.
238. J.-X. Xu, C. Liu and C. C. Hang, “Tuning of fuzzy PI controllers based on gain/phase margin specifications and ITAE index,” ISA Transactions, 35, 79-91, 1996.
239. J.-X. Xu, C. Liu and C.C. Hang, “Modified tuning of a fuzzy logic controller,” Engineering Applications of Artificial Intelligence, 9, 65-74, 1996.
240. J.-X. Xu, C. Liu, and C. C. Hang, “Designing a stable fuzzy PI control system using extended circle criterion,” International Journal of Intelligent Control and Systems, 1, 355-366, 1996.
241. R. R. Yager and D. P. Filev, Essentials of Fuzzy Modeling and Control, John Wiley & Sons, New York, 1994.
242. Y. Yam, “Fuzzy approximation via grid point sampling and singular value decomposition,” IEEE Transactions on Systems, Man and Cybernetics, 27, 933-951, 1997.
243. J. Yen and R. Langari, Fuzzy Logic: Intelligence, Control, and Information, Prentice Hall, Englewood Cliffs, NJ, 1999.
244. J. Yen, R. Langari, and L. A. Zadeh (eds.), Industrial Applications of Fuzzy Logic and Intelligent Systems, IEEE Press, Piscataway, NJ, 1995.
245. J. Yen and L. Wang, “Application of statistical information criteria for optimal fuzzy model construction, IEEE Transactions on Fuzzy Systems, 6, 362-372, 1998.
246. S. Y. Yi and M. J. Chung, “Systematic design and stability analysis of a fuzzy logic controller,” Fuzzy Sets and Systems, 12, 271-298, 1995.
247. H. Ying, “Analytical relationship between the fuzzy PID controllers and the linear PID controller,” Technical Report, Department of Biomedical Engineering, The University of Alabama at Birmingham, December 8, 1987.
248. H. Ying, W. Siler and D. Tucker, “An expert-system-based fuzzy controller,” Proceedings of Artificial Intelligence in Minerals and Materials Technology, Tuscaloosa, AL, October 1987.
249. H. Ying, L. C. Sheppard and D. Tucker, “Expert-system-based fuzzy control of arterial pressure by drug infusion,” Medical Progress Through Technology, 13, 203-215, 1988.
250. H. Ying, W. Siler and J. J. Buckley, “Fuzzy control theory: a nonlinear case,” Proceeding of 1988 NASA Conference on Artificial Neural Systems and Fuzzy Logic, Houston, TX, May 1988.
251. H. Ying, W. Siler and D. Tucker, “A new type of fuzzy controller based upon a fuzzy expert system shell FLOPS,” Proceeding of IEEE International Workshop on Artificial Intelligence for Industrial Applications, Hitachi City, Japan, May 1988.
252. H. Ying, W. Siler, and J. J. Buckley, “Fuzzy control theory: a nonlinear case,” Automatica, 26, 513-520, 1990.
253. H. Ying and L. C. Sheppard, “Real-time expert-system-based fuzzy control of mean arterial pressure in pigs with sodium nitroprusside infusion,” Medical Progress Through Technology, 16, 69-76, 1990.
254. H. Ying, M. McEachem, D. Eddleman, and L. C. Sheppard, “Fuzzy control of mean arterial pressure in postsurgical patients with sodium nitroprusside infusion,” IEEE Transactions on Biomedical Engineering, 39, 1060-1070, 1992.
255. H. Ying, “The simplest fuzzy controllers using different inference methods are different nonlinear proportional-integral controllers with variable gains,” Automatica, 29, 1579-1589, 1993.
256. H. Ying, “General analytical structure of typical fuzzy controllers and their limiting structure theorems,” Automatica, 29, 1139-1143, 1993.
257. H. Ying, “A fuzzy controller with linear control rules is the sum of a global two-dimensional multilevel relay and a local nonlinear proportional-integral controller,” Automatica, 29, 499-505, 1993.
258. H. Ying, “A two-input two-output fuzzy controller is the sum of two nonlinear PI controllers with variable gains,” Proceedings of Second IEEE International Conference on Fuzzy Systems, pp. 35-37, San Francisco, CA, March, 1993.
259. H. Ying and L. C. Sheppard, “Regulating mean arterial pressure in postsurgical cardiac patients,” IEEE Engineering in Medicine and Biology, 13, 671-677, 1994.
260. H. Ying, “Practical design of nonlinear fuzzy controllers with stability analysis for regulating processes with unknown mathematical models,” Automatica, 30, 1185-1195, 1994.
261. H. Ying, “Sufficient conditions on general fuzzy systems as function approximators,” Automatica, 30, 521-525, 1994.
262. H. Ying, “Analytical structures of fuzzy controllers with linear control rules,” Information Sciences, 81, 213-227, 1994.
263. H. Ying, “Analytical structure of a two-input two-output fuzzy controller and its relation to PI and multilevel relay controllers,” Fuzzy Sets and Systems, 63, 21-33, 1994.
264. H. Ying, “Structure decomposition of the general MIMO fuzzy systems,” Journal of Intelligent Control and Systems, 1, 327-337, 1996.
265. H. Ying and G.-R. Chen, “Necessary conditions for some typical fuzzy systems as universal approximators,” Automatica, 33, 1333-1338, 1997.
266. H. Ying, “An analytical study on structure, stability and design of general Takagi-Sugeno fuzzy control systems,” Automatica, 34, 1617-1623, 1998.
267. H. Ying, “General SISO Takagi-Sugeno fuzzy systems with linear rule consequent are universal approximators,” IEEE Transactions on Fuzzy Systems, 6, 582-587, 1998.
268. H. Ying, “Sufficient conditions on uniform approximation of multivariate functions by general Takagi-Sugeno fuzzy systems with linear rule consequent,” IEEE Transactions on Systems, Man, and Cybernetics, 28, 515-520, 1998.
269. H. Ying, “General Takagi-Sugeno fuzzy systems with simplified linear rule consequent are universal controllers, models and filters,” Information Sciences, 108, 91-107, 1998.
270. H. Ying, “The Takagi-Sugeno fuzzy controllers using the simplified linear control rules are nonlinear variable gain controllers,” Automatica, 34, 157-167, 1998.
271. H. Ying, “Constructing nonlinear variable gain controllers via the Takagi-Sugeno fuzzy control,” IEEE Transactions on Fuzzy Systems, 6, 226-234, 1998.
272. H. Ying, Y.-S. Ding, S.-K. Li, and S.-H. Shao, “Comparison of necessary conditions for typical Takagi-Sugeno and Mamdani fuzzy systems as universal approximators,” IEEE Transactions on Man, Systems and Cybernetics, 29, 508-514, 1999.
273. H. Ying, “Analytical analysis and feedback linearization tracking control of the general Takagi-Sugeno fuzzy dynamic systems,” IEEE Transactions on Systems, Man, and Cybernetics, 29, 290-298, 1999.
274. H. Ying, “Analytical structure of the typical fuzzy controllers employing trapezoidal input fuzzy sets and nonlinear control rules,” Information Sciences, 116, 177-203, 1999.
275. H. Ying, “Theory and application of a novel Takagi-Sugeno fuzzy PED controller,” Information Sciences, 123, 281-292, 2000.
276. H. Ying, “Analytical analysis of structure of a Mamdani fuzzy controller with three input variables,” Fuzzy Control: Synthesis and Analysis, S. S. Faimwata, D. Filev and R. Langari (eds.), John Wiley and Sons, New York, 2000.
277. G. Yoon, S. Mordon, J. M. Brunetaud, R. Faiz, R. Straight, P. Y. Bugnon, M. Staroswiecki, and J. Leroux, “On-off time control of laser pulses for pseudo-constant temperature coagulation in tissue,” Proceedings of SPIE Laser-Tissue Interaction, 236-245, 1990.
278. L. A. Zadeh, “Fuzzy sets,” Information and Control, 8, 338-353, 1965.
279. L. A. Zadeh, “Fuzzy algorithm,” Information and Control, 12, 94-102, 1968.
280. L. A. Zadeh, “Toward a theory of fuzzy systems,” Aspects of Network and System Theory, R. E. Kalman and N. Dellaris (eds.), Rinehart and Winston, New York, 469-490, 1971.
281. L. A. Zadeh, “A rationale for fuzzy control,” Journal of Dynamic Systems, Measurement, and Control, 94: 3-4, 1972.
282. L. A. Zadeh, “Outline of a new approach to the analysis of complex systems and decision processes,” IEEE Transactions on Systems, Man and Cybernetics, 3, 28-44, 1973.
283. L. A. Zadeh, “The concept of a linguistic variable and its application to approximate reasoning-I, II, III,” Information Sciences, 8, 199-249, 301-357, 1975
284. L. A. Zadeh, “The concept of a linguistic variable and its application to approximate reasoning-I, II, III,” Information Sciences, 9, 43-80, 1975.
285. L. A. Zadeh, “Fuzzy logic, neural networks, and soft computing,” Communications of the ACM, 37, 77-84, 1994.
286. L. A. Zadeh, “Soft computing and fuzzy logic,” IEEE Software, 11, 48-56, 1994.
287. L. A. Zadeh, “Fuzzy logic = computing with words,” IEEE Transactions on Fuzzy Systems, 4, 1996.
288. L. A. Zadeh, “The evolution of systems analysis and control: a personal perspective,” IEEE Control Systems Magazine, 16, 95-98, 1996.
289. L. A. Zadeh, “From computing with numbers to computing with words. From manipulation of measurement to manipulation of perceptions,” IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications, 46, 105-119, 1999.
290. X.-J. Zeng and M. G. Singh, “Approximation theory of fuzzy systems—MIMO case,” IEEE Transactions on Fuzzy Systems, 3, 219-235, 1995.
291. X.-J. Zeng and M. G. Singh, “A relationship between membership functions and approximation accuracy in fuzzy systems,” IEEE Transactions on Systems, Man and Cybernetics, 26, 176-180, 1996.
292. X.-J. Zeng and M. G. Singh, “Approximation properties of fuzzy systems generated by the min inference,” IEEE Transactions on Systems, Man and Cybernetics, 26, 187-193, 1996.
293. X.-J. Zeng and M. G. Singh, “Approximation accuracy analysis of fuzzy systems as function approximators,” IEEE Transactions on Fuzzy Systems, 4, 44-63, 1996.
294. J. Zhao, V Wertz, and R. Gorez, “Linear TS fuzzy model based robust stabilizing control design,” Proceedings of the 34th Conference on Decision and Control, 255-260, New Orleans, LA, December 1995.
295. H.-J. Zimmermann, Fuzzy Set Theory and Its Applications (2nd ed.), Kluwer Academic Publishers, Boston, 1991.