A survey of stability of fuzzy logic control with aerospace applications

IFAC Proceedings Volumes (IFAC-PapersOnline)

Volumn 15, Issue 1, 2002, Pages 67-78

  Giron Sierra, Jose M ^a   Ortega, Guillermo ^b  

^a UNIVERSIDAD COMPLUTENSE DE MADRID   (Spain)

^b EUROPEAN SPACE AGENCY   (Netherlands)

Author keywords

Aerospace control; Fuzzy control; Stability analysis

Indexed keywords

AEROSPACE APPLICATIONS; AEROSPACE ENGINEERING; AUTOMATION; COMPUTER CIRCUITS; FUZZY CONTROL; STABILITY;

AEROSPACE CONTROL; FUZZY LOGIC CONTROL; FUZZY LOGIC CONTROL (FLC); STABILITY ANALYSIS; STABILITY ANALYSIS METHOD; STABLE CONTROL; TIME AND FREQUENCY DOMAINS;

FUZZY LOGIC;

EID: 84945529781     PISSN: 14746670     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3182/20020721-6-es-1901.01237     Document Type: Conference Paper

References (192)

1. Abdelnour, G., J.Y. Cheung, C.H. Chang, and G. Tinetti (1993). Application of Describing Function in the transient response analysis of a three-term fuzzy controller, IEEE T. Systems, Man & Cybernetics, v. 23, n. 2, March/April, pp. 603-606.
2. Akar, M. and U. Ozguner (2000). Decentralized techniques for the analysis and control of Takagi-Sugeno fuzzy systems, IEEE T. Fuzzy Systems, v. 8, n. 6, pp. 691-704.
3. Aracil, J., A. Ollero and A. Garcia-Cerezo (1989). Stability indices for the global analysis of expert control systems, IEEE T. Systems, Man & Cybernetics, v. 19, n. 5, Sept/Oct, pp. 998-1007.
4. Aracil, J., A. Garcia-Cerezo, A. Barreiro and A. Ollero (1993). Stability analysis of fuzzy control systems based on the conicity criterion. In: Fuzzy logic: State of the art, Lowen, R., (Ed.), pp 487-496. Kluwer.
5. Aracil, J., F. Gordillo and T. Alamo (1997). Global stability analysis of second order fuzzy control system. In: Advances in fuzzy control (Palm, R., Driankov, D., Hellendorn, H., (Ed.)). Springer Verlag.
6. Aracil, J. and F. Gordillo (Ed). (2000). Stability issues in fuzzy control, Springer-Verlag.
7. Atherton, D.P. (1993). A Describing function approach for the evaluation of fuzzy logic control, Proc. American Control Conference, San Francisco, pp. 765-766.
8. Babuska, R. (1998). Fuzzy modelling for control, Kluwer
9. Barreiro, A. (1997). On the stabilizing conic sectors obtained using small-gain techniques, Automatica, v. 33, pp. 1155-1161.
10. Batur, C. and V. Kasparian (1991). Predictive fuzzy expert controllers, Int. J. Control, v. 54, n. 4, pp. 867-881.
11. Berenji, H.R. and P.S. Khedkar (1992). Learning and tuning fuzzy logic controllers through reinforcements, IEEE T. Neural Networks, v. 3, n. 5, pp. 724-740.
12. Berenji, H.R. and P. S. Khedkar (1993). Adaptive fuzzy control with reinforcement learning, Proc. American Control Conference, San Francisco, pp. 1840-1844.
13. Berenji, H.R., R.N. Lea, Y. Jami, P.S. Khedkar, A. Malkani and J. Hoblit (1994). Space Shuttle attitude control by reinforcement learning and fuzzy logic, Proc. 2nd. Intl. Conf. Fuzzy Systems, SanFrancisco, pp. 1396-1401.
14. Bikdash, M, A. Homaifar and K. Sartor (1997). Shuttle reentry guidance using Sugeno approximation, Proc. IEEE Systems, Man & Cybernetics Conf., Orlando, pp. 1011-1016.
15. Bikdash, M, K. Sartor and A. Homaifar (1999). Fuzzy guidance of the Shuttle orbiter during atmospheric reentry, Control Engineering Practice, v. 7, pp. 295-303.
16. Birdwell, J.D. and Y. Wang (1994). Lyapunov stability analysis of systems using the fuzzy-PID controller, Proc. American Control Conference, Baltimore, pp. 966-970.
17. Blumel, A.L., E.J. Hughes and B.A. White (2000). Fuzzy autopilot design using a multiobjective evolutionary algorithm, Proc. IEEE Congress Evolutionary Computation, pp. 54-61.
18. Brown, R.B. (1997). Improved pilot model for space Shuttle rendezvous, J. Guidance, Control and Dynamics, v. 20, n. 4, pp. 833-836.
19. Calcev, G. (1998). Some remarks on the stability of Mamdani fuzzy control systems, IEEE T. Fuzzy Systems, v. 6, n. 3, August, pp. 436-442.
20. Calcev, G., R. Gorez and M. De Neyer (1998). Passivity approach to fuzzy control systems, Automatica, v. 4, n. 3, pp. 339-344.
21. Cao, S.G., N.W. Rees and G. Feng (1996a). Quadratic stability analysis and design of continuous-time fuzzy control systems, Int. J. Syst. Sci., v. 27, n. 2, pp. 193-203.
22. Cao, S.G., N.W. Rees and G. Feng (1996b). Stability analysis of fuzzy control systems, IEEE T. Systems, Man & Cybernetics, part B, v. 26, n. 1, pp. 201-204.
23. Cao, S.G., N.W. Rees and G. Feng (1997a). Analysis and design for a class of complex control systems - Part I: Fuzzy modelling and identification, Automatica, v. 33, n. 6, pp. 1017-1028.
24. Cao, S.G., N.W. Rees and G. Feng (1997b). Analysis and design for a class of complex control systems - Part II: Fuzzy controller design, Automatica, v. 33, n. 6, pp. 1017-1028.
25. Cao, S.G., N.W. Rees and G. Feng (1999). Analysis and design of fuzzy control systems using dynamic fuzzy-state space models, IEEE T. Fuzzy Systems, v. 7, n. 2, pp. 192-200.
26. Castro, J.L. (1995). Fuzzy logic controllers are universal approximators, IEEE T. Systems, Man & Cybernetics, v. 25, n. 4, April, pp. 629-635.
27. Chang, Y.C. (2000). Robust tracking control for nonlinear MIMO systems via fuzzy approaches, Automatical, pp. 1535-1545.
28. Chen, B.S., C.H. Lee and Y.C. Chang (1996). Hoc tracking design of uncertain nonlinear SISO systems: Adaptive fuzzy approach, IEEE T. Fuzzy Systems, v. 4, pp. 32-43.
29. Chen, B.S., C.S. Tseng and H.J. Uang (1999). Robustness design of nonlinear dynamic systems via fuzzy linear control, IEEE T. Fuzzy Systems, v. 7, n. 5, October, pp. 571-585.
30. Chen, B.S., C.S. Wu and Y.W. Jan (2000). Adaptive fuzzy mixed H2/H∞ attitude control of spacecraft, IEEE T. Aerospace and Electronic Systems, v. 36, n. 4, pp. 1343-1348.
31. Chen, G.R. and H. Ying (1997). BIBO stability of nonlinear fuzzy PI control systems, J. Intell. Fuzzy Systems, v. 5, pp. 245-256.
32. Chen, J.Q., J.H. Lu and L.J. Chen (1995). Analysis and synthesis of fuzzy closed-loop control systems, IEEE T. Systems, Man & Cybernetics, v. 25, n. 5, May, pp. 881-888.
33. Choi, B.J., S.W. Kwak and B.K. Kim (2000). Design and stability analysis of single-input fuzzy logic controller, IEEE T. Systems, Man & Cybernetics, v. 30, n. 2, part B, April, pp. 303-309.
34. Cordon, O., F. Herrera and M. Lozano (1997). A classified review on the combination fuzzy logic-genetic algorithms bibliography: 1989-1995. In: Genetic algorithms and fuzzy logic systems (Sanchez, E., Shibata, T., Zadeh, L.A., (Ed.)), pp. 209-240. World Scientific.
35. Cuesta, F., F. Gordillo, J. Aracil and A. Ollero (1999). Stability analysis of nonlinear multivariable Takagi-Sugeno fuzzy control systems, IEEE T. Fuzzy Systems, v. 7, n. 5, October, pp. 508-519.
36. Dracopoulos, D.C (1997). Evolutionary learning algorithms for neural adaptive control, Springer-Verlag.
37. Espada, A. and A. Barreiro (1994). Robust design of fuzzy controllers based on small gain conditions, Proc. IFAC Symp. AIRTCi94, Valencia, pp. 67-72.
38. Espada, A. and A. Barreiro (1999). Robust stability of fuzzy control systems based on conicity conditions, Automatical, pp. 643-654.
39. Farinwata, S.S. (2000). An approach to the analysis of robust stability of fuzzy control systems. In: Fuzzy control. Synthesis and analysis (Farinwata, S.S., Filev, D., and Langari, R., (Ed.)), pp. 165-201. John Wiley.
40. Farinwata, S.S. and S.L. Chiu (2000). Fuzzy control systems stability analysis with application to aircraft systems. In: Fuzzy control. Synthesis and analysis (Farinwata, S.S., Filev, D., and Langari, R., (Ed.)), pp. 203-235. John Wiley.
41. Farinwata, S.S., D. Filev and R. Langari (Ed) (2000). Fuzzy control: Synthesis and analysis, John Wiley.
42. Feng, G., S.G. Cao, N.W. Rees and CM. Cheng (1997). Analysis and design of model based fuzzy control, Proc. FUZZ-IEEE'97, Barcelona, pp. 901-906.
43. Filev, D.P. (2000). Gain scheduling based control of a class of TSK systems. In: Fuzzy control. Synthesis and analysis (Farinwata, S.S., Filev, D., and Langari, R., (Ed.)), pp. 321-334. John Wiley.
44. Fonseca, CM. and P.J. Fleming (1995). An overview of evolutionary algorithms in multiobjective optimization, Evolutionary Computation, v. 3, n. 1, pp. 1-16.
45. Fonseca, CM. and P.J. Fleming (1998a). Multiobjective optimization and multiple constraint handling with evolutionary algorithms - Part I: A unified formulation, IEEE T. Systems, Man & Cybernetics, part A, v. 28, n. 1, pp. 26-37.
46. Fonseca, C.M. and P.J. Fleming (1998b). Multiobjective optimization and multiple constraint handling with evolutionary algorithms - Part II: Application example, IEEE T. Systems, Man & Cybernetics, part A, v. 28, n. 1, pp. 38-47.
47. Fortuna, L., G. Muscato and M.G. Xibilia (2001). A comparison between HMLP and HRBF for attitude control, IEEE T. Neural Networks, v. 12, n. 2, pp. 318-328.
48. French, M. and E. Rogers (1998). Input/output stability theory for direct neuro-fuzzy controllers, IEEE T. Fuzzy Systems, v. 6, n. 3, August, pp. 331-345.
49. Fuh, C.C. and P.C. Tung (1997). Robust stability analysis of fuzzy control systems, Fuzzy Sets and Systems, v. 88, pp. 289-298.
50. Fujimori, A., H. Tsunemoto and Z.Y. Wu (1998). Gain-scheduled control using fuzzy logic and its application to flight control, J. Guidance, Control and Dynamics, v. 22, n. 1, pp. 175-177.
51. Fujimori, A. and P.N. Nikiforuk (1999). Fuzzy gain-scheduling control and its application to flight control, Proc. IFAC World Congress, Beijing, v.P, pp. 283-288.
52. Gacogne, L. (1997). Research of Pareto set by genetic algorithm, application to multicriteria optimization of fuzzy controller, Proc. EUFIT'97, pp. 837-845.
53. Galichet, S. and L. Foulloy (1995). Fuzzy controllers: synthesis and equivalences, IEEE T. Fuzzy Systems, v. 3, n. 2, May, pp. 140-148.
54. Gopalan, V., A. Homaifar, M.R. Salami, B. Sayyarrodsari and R.W. Dabney (1995). Fuzzy genetic controllers for the autonomous rendezvous and docking problem, Proc. ACM Symp. Applied Computing, pp. 532-536.
55. Gordillo, F., J. Aracil and T. Alamo (1997). Determinig Limit cycles in fuzzy control systems, Proc. FUZZ-IEEE'97, Barcelona, pp. 193-198.
56. Gordillo, F., J. Aracil and A. Ollero (1998). Frequency domain analysis of multivariable fuzzy systems. In: Application of multivariable system techniques (Whalley, R., and Ebrahimi, M., (Ed.)), pp. 243-252. Bradford.
57. Gorez, R. and G. Calcev (2000). Passivity and stability of fuzzy control systems. In: Fuzzy control. Synthesis and analysis (Farinwata, S.S., Filev, D., and Langari, R., (Ed.)), pp. 113-144. John Wiley.
58. Hajjaji, A.E. and A. Rachid (1994). Explicit formulas for fuzzy controller, Fuzzy Sets and Systems, v. 62, pp. 135-141.
59. Han, Z.X., G. Feng, B.L. Walcott and J. Ma (2000). Dynamic output feedback controller design for fuzzy systems, IEEE T. Systems, Man & Cybernetics, part B, v. 30, n. 1, pp. 204-210.
60. Huang, Y.L., H.H. Lou, J.P. Gong and T.F. Edgar (2000). Fuzzy model predictive control, IEEE T. Fuzzy Systems, v. 8, n. 6, pp. 665-678.
61. Hwang, G.C. and S.C. Lin (1992). A Stability approach to fuzzy control design for nonlinear systems, Fuzzy Sets and Systems, v. 48, pp. 279-287.
62. Jadbabaie, A., Ch. T. Abdallah, M. Jamshidi and A. Titli (2000). Observer-based controller synthesis for model-based fuzzy systems via linear matrix inequalities. In: Fuzzy control. Synthesis and analysis (Farinwata, S.S., Filev, D., and Langari, R., (Ed.)), pp. 239-252. John Wiley.
63. Joh, J., Y.H. Chen and R. Langari (1998). On the stability issues of linear Takagi-Sugeno fuzzy models, IEEE T. Fuzzy Systems, v. 6, n. 3, August, pp. 402-410.
64. Joh, J. and R. Langari (2000). A Framework for the synthesis of PDC-type Takagi-Sugeno fuzzy control systems: An LMI Approach. In: Fuzzy control. Synthesis and analysis (Farinwata, S.S., Filev, D., and Langari, R., (Ed.)), pp. 267-282. John Wiley.
65. Johansen, T.A. (1994). Fuzzy model based control: Stability, robustness, and performance issues, IEEE T. Fuzzy Systems, v. 2, pp. 221-234.
66. Johansson, M., A. Rantzer and K.E. Arzen (1998). Piecewise quadratic stability of affine Sugeno systems, Proc. FUZZ-IEEE'98, Anchorage, pp. 55-60.
67. Johansson, M., A. Rantzer and K.E. Arzen (1999). Piecewise quadratic stability of fuzzy systems, IEEE T. Fuzzy Systems, v. 7, n. 6, December, pp. 713-722.
68. Kaelbhng, L.P., M.L. Littman and A.W. Moore (1996). Reinforcement learning: A Survey, J. Artificial Intelligence Research, v. 4, pp. 237-285.
69. Kang, H.J., and Ch. Kwon (1997). Loo robust stability analysis for the fuzzy feedback linearization regulator, Proc. FUZZ-IEEE'97, v. 1, pp. 277-280.
70. Kang, H.J., Ch. Kwon, H. Lee and M. Park (1998). Robust stability analysis and design method for the fuzzy feedback linearization regulator, IEEE T. Fuzzy Systems, v. 6, n. 4, November, pp. 464-472.
71. Kania, A.A., J.B. Kiszka, M.B. Gorzalczany, J.R. Maj and M.S. Stachowicz (1980). On Stability of formal fuzzy systems, Inform. Sci, v. 22, pp. 51-68.
72. Karr, C.L., L.M. Freeman and D.L. Meredith (1989). Improved fuzzy process control of spacecraft autonomous rendezvous using a genetic algorithm, Proc. SPIE Conf. Intelligent Control and Adaptive Systems, pp. 274-288.
73. Karr, C.L., L.M. Freeman and D.L. Meredith (1990). Genetic algorithms based fuzzy control of spacecraft autonomous rendezvous, 5th. Conf. Artificial Intelligence for Space Applications, NASA, pp. 43-51.
74. Karr, CL. (1991a). Genetic algorithms for a fuzzy controller, learning from examples, AI Expert, v. 6, n. 2, pp. 26-33.
75. Karr, CL. (1991b). Applying genetics to fuzzy logic, AI Expert, v. 6, n. 3, pp. 38-43.
76. Karr, CL. (1991c). Design of an adaptive fuzzy logic controller using a genetic algorithm, Proc. Fourth Intl. Conf. Genetic Algoritms, pp. 450-457.
77. Karr, CL. and L.M. Freeman (1997). Genetic-algorithm-based fuzzy control of spacecraft autonomous rendezvous, Engineering Applications of Artificial Intelligence, v. 10, n. 3, pp. 293-300.
78. Katoh, R. et al. (1993). Graphical stability analysis of a fuzzy control system, Proc. IEEE IECON'93, v. 1, pp. 248-253.
79. Kawamoto, S., K. Tada, A. Ishigame and T. Taniguchi (1992). An approach to stability analysis of second order fuzzy systems, Proc. FUZZ-IEEE'92, San Diego, pp. 1427-1434.
80. Kaynak, O., K. Erbatur and M. Ertugrul (2001). The fusion of computationally intelligent methodologies and sliding-mode control - A survey, IEEE T. Industrial Electronics, v. 48, n. 1, pp. 4-17.
81. Kickert, W.J.M. and E.H. Mamdani (1978). Analysis of a fuzzy logic controller, Fuzzy Sets and Systems, v. 1, pp. 29-44.
82. Kim, E., H. Lee and M. Park (2000). Limit-cycle prediction of a fuzzy control system based on Describing Function method, IEEE T. Fuzzy Systems, v. 8, n. 1, February, pp. 11-22.
83. Kim, J, Y. Moon and B.P. Zeigler (1995). Designing fuzzy net controllers using genetic algorithms, IEEE Control Systems Mgz., v. 15, n. 3, pp. 66-72.
84. Kim, W.C., S.C. Ahn and W.H. Kwon (1995). Stability analysis and stabilization of fuzzy state models, Fuzzy Sets and Systems, v. 71, n. 1, pp. 131-142.
85. Kiriakidis, K. (1998). Fuzzy model-based control of complex plants, IEEE T. Fuzzy Systems, v. 6, n. 4, pp. 517-529.
86. Kiszka, J.B., M.M. Gupta and P.N. Nikiforuk (1985). Energetistic Stability of fuzzy dynamic system, IEEE T. Systems, Man & Cybernetics, v. 15, n. 6, Nov/Dec, pp. 783-792.
87. Kitamura, S. and T. Kurozumi (1991). Extended circle criterion and stability analysis of fuzzy control systems, Proc. Intl. Fuzzy Eng. Symp. 91, v. 2, pp. 634-643.
88. Kosko, B. (1998). Global stability of generalized additive fuzzy systems, IEEE T. Systems, Man & Cybernetics, part C, v. 28, n. 3, pp. 441-452.
89. Krishnakumar, K., P. Gonsalves, A. Satyadas and G. Zachrias (1995). Hybrid fuzzy logic controller synthesis via pilot modelling, J. Guidance, Control and Dynamics, v. 18, n. 4, pp. 1098-1105.
90. Lam, H.K., H.F. Leung and P.K.S. Tarn (1997). Stable and robust fuzzy control for uncertain nonlinear systems based on grid-point approach, Proc. FUZZ-IEEE'97, v. 1, pp. 281-285.
91. Langari, R. and M. Tomizuka (1990). Stability of fuzzy linguistic control systems, Proc. IEEE Conf. Decision and Control, pp. 2185-2190.
92. Langari, R. (1992). A Nonlinear Formulation of a class of fuzzy linguistic control algorithms, Proc. American Control Conference, Chicago.
93. Langari, R. (1993). Synthesis of nonlinear control strategies via fuzzy logic, Proc. American Control Conference, San Francisco, pp. 1855-1859.
94. Langari, R. and M. Tomizuka (1993). Analysis of stability of a class of fuzzy linguistic controllers with internal dynamics, Proc. ASME.
95. Layne, J.R. and K.M. Passino (2000). Lyapunov stability analysis of fuzzy dynamic systems. In: Fuzzy control. Synthesis and analysis (Farinwata, S.S., Filev, D., and Langari, R., (Ed.)), pp. 96-111. John Wiley.
96. Lea, R. (1988). Automated space vehicle control for rendezvous proximity operations, Telematics and Informatics, v. 5, n. 3, pp. 179-185.
97. Lee, J.X. and G. Vukovich (2000). On adaptive fuzzy logic control of non-linear systems - Synthesis and analysis. In: Fuzzy control. Synthesis and analysis (Farinwata, S.S., Filev, D., and Langari, R., (Ed.)), pp. 283-308. John Wiley.
98. Leephakpreeda, T. and C. Batur (1994). Stability analysis of fuzzy controllers, Dynamic Systems and Controls, v. 1, pp. 349-415.
99. Leephakpreeda, T. (1999). Hoc stability robustness of fuzzy control systems, Automatica, v. 35, pp. 1467-1470.
100. Lewis, F.L. and K. Liu (1994). Towards a paradigm for fuzzy logic control, Automatica, v. 32, pp. 167-181.
101. Lim, J.T. (1992). Absolute stability of a class of nonlinear plants with fuzzy logic controllers, Electron. Lett., v. 28, pp. 1968-1970.
102. Lin, C.T. and C.S.G. Lee (1996). Neural fuzzy systems, Prentice-Hall.
103. Lin, C.T. and I.F. Chung (1999). A Reinforcement neuro-fuzzy combiner for multiobjective control, IEEE T. Systems, Man & Cybernetics, part B, v. 29, n. 6, pp. 726-744.
104. Linder, S.P. and B. Shafai (1999). Qualitative robust fuzzy control with applications to 1992 ACC Benchmark, IEEE T. Fuzzy Systems, v. 7, n. 4, pp. 409-421.
105. Lo, J. Ch. and Y.M. Chen (1999). Stability issues on Takagi-Sugeno fuzzy model - Parametric approach, IEEE T. Fuzzy Systems, v. 7, n. 5, October, pp. 597-607.
106. Ma, X.J., Z.Q. Sun and Y.Y. He (1998). Analysis and design of fuzzy controller and fuzzy observer, IEEE T. Fuzzy Systems, v. 6, pp. 41-51.
107. Ma, X.J. and Z.Q. Sun (2000). Output tracking and regulation of nonlinear system based on Takagi-Sugeno fuzzy model, IEEE T. Systems, Man & Cybernetics, part B, v. 30, n. 1, pp. 47-59.
108. Malki, H.A., H.D. Li and G. Chen (1994). New design and stability analysis of fuzzy PD controllers, IEEE T. Fuzzy Systems, v. 2, pp. 245-254.
109. Mamdani, E.H. (1974). Applications of fuzzy algorithms for simple dynamic plants, Proc. IEE, V. 121, pp. 1585-1588.
110. Man, K.F., K.S. Tang and S. Kwong (1999). Genetic algorithms, Springer Verlag.
111. Melin, C. (1995). Stability analysis of fuzzy control systems: Some frequency criteria, Proc. 3rd. European Control Conference, Rome, pp. 815-819.
112. Mudi, R.K. and N.R. Pal (1999). A robust self-tuning scheme for PI and PD type fuzzy controllers, IEEE T. Fuzzy Systems, v. 7, n. 1, pp. 2-16.
113. Myung, H. Ch., Z.Z. Bien and Y.T. Kim (2000). Stabilization of direct adaptive fuzzy control systems: Two approaches. In: Fuzzy control. Synthesis and analysis (Farinwata, S.S., Filev, D., and Langari, R., (Ed.)), pp. 309-320. John Wiley.
114. Nam, S.K. and R.W. Zhang (1997). Fuzzy multi-variable control for attitude stabilization of flexible spacecraft, Proa IEEE Intl. Conf. Intelligent Processing Systems, Beijing, pp. 257-261.
115. Neidhoeffer, J.C. and K. Krishnakumar (2001). Intelligent control for near-autonomous aircraft missions, IEEE T. Systems, Man & Cybernetics, part A, v. 31, n. 1, pp. 14-29.
116. Ng, W.Y. (1993). Perspectives on search-based computer-aided control system design, IEEE Control Systems Mgz., v. 13, n. 2, pp. 65-72.
117. Nho, K. and R.K. Agarwal (2000). Automatic landing system design using fuzzy logic, J. Guidance, Control and Dynamics, v. 23, n. 2, pp298-304.
118. Obayashi, S., D. Sasaki, Y. Takeguchi and N. Hirose (2000). Multiobjective evolutionary computation for supersonic wing-shape optimization, IEEE T. Evolutionary Computation, v. 4, n. 2, pp. 182-187.
119. Obayashi, S., T. Tsukahara and T. Nakamura (2000). Multiobjective Genetic algorithm applied to aerodynamic design of cascade airfoils, IEEE T. Industrial Electronics, v. 47, n. 1, pp. 211-216.
120. Ollero, A., J. Aracil and F. Gordillo (1998). Stability analysis of MIMO fuzzy control systems in the frequency domain, Proc. FUZZ-IEEE'98, Anchorage, pp. 49-54.
121. Ollero, A., F. Gordillo and J. Aracil (2000). Frequency domain analysis of MIMO fuzzy control systems. In: Fuzzy control. Synthesis and analysis (Farinwata, S.S., Filev, D., and Langari, R., (Ed.)), pp. 145-152. John Wiley.
122. Ortega, G. and J.M. Giron-Sierra (1998). Geno-fuzzy control in autonomous servicing of a space station, Engineering Applications of Artificial Intelligence, v. 11, pp. 383-400.
123. Palm, R. (1994). Robust control by fuzzy sliding mode, Automatica, v. 30, n. 9, pp. 1429-1437.
124. Palm, R. and D. Driankov (1997). Stability of fuzzy gain-schedulers: Sliding mode based analysis, Proc. FUZZ-IEEE'97, Barcelona, pp. 177-183.
125. Palm, R., D. Driankov and H. Hellendoorn (1997). Model based fuzzy control, Springer-Verlag.
126. Passino, K.M. and S. Yurkovich (1999). Fuzzy control, Addison-Wesley.
127. Piegat, A. (1997). Hyperstability of fuzzy-control systems and degrees of freedom, Proc. EUFIT'97, pp. 1446-1450.
128. Piper, G.E. and H.G. Kwanty (1992). Complicated dynamics in spacecraft attitude control systems, J. Guidance, Control and Dynamics, v. 15, n. 4, pp. 825-831.
129. Qin, S.J. and G. Borders (1994). A multiregion fuzzy logic controller for nonlinear process control, IEEE T. Fuzzy Systems, v. 2, n. 1, pp. 74-M.
130. Ray, K.S., A.M. Ghosh and D.D. Majumder (1984). L2-stability and the related design concept for SISO linear system associated with fuzzy logic controller, IEEE T. Systems, Man & Cybernetics, v. 14, n. 6, pp. 932-939.
131. Ray, K.S. and D.D. Majumder (1984). Application of circle criteria for stability analysis of linear SISO and MIMO systems associated with fuzzy logic controller, IEEE T. Systems, Man & Cybernetics, v. 14, n. 2, pp. 345-349.
132. Rugh, W.J. and J.S. Shamma (2000). Research on gain-scheduling, Automatica, v. 36, pp. 1401-1425.
133. Sanchez, E., T. Shibata and L.A. Zadeh (Eds.). (1997). Genetic algorithms and fuzzy logic systems, World Scientific.
134. Satyadas, A. and K. Krishnakumar (1994). GA-optimized fuzzy controller for spacecraft attitude control, Proc. FUZZ-IEEE'94, pp. 1979-1984.
135. Schram, G., L. Karsten, B.J.A. Krose and F.C.A. Groen (1994). Optimal attitude control of satellites by artificial neural networks: A pilot study, Proc. IFAC AIRTC'94, Valencia, pp. 185-190.
136. Sefrioui, M. and J. Periaux (2000). Nash genetic algorithms: Examples and applications, Proc. IEEE Congress Evolutionary Computation, pp. 509-516.
137. Setnes, M. and R. Babuska (2000). Fuzzy modelling for predictive control. In: Fuzzy control. Synthesis and analysis (Farinwata, S.S., Filev, D., and Langari, R., (Ed.)), pp. 23-46. John Wiley.
138. Shin, J.Y., G.J. Balas and A.K. Packard (2001). Worst-case analysis of the X-38 crew return vehicle flight control system, J. Guidance, Control and Dynamics, v. 24, n. 2, pp. 261-269.
139. Sio, K.C. and C.K. Lee (1998). Stability of fuzzy PID controllers, IEEE T. Systems, Man & Cybernetics, part A, v. 28, n. 4, pp. 490-495.
140. Skrjanc, I. and D. Matko (1994). Fuzzy predictive controller with adaptive gain. In: Advances in model-based predictive control (Clarke, D. (Ed.)), pp. 370-385. Oxford University Press.
141. Skrjanc, I. and D. Matko (2000). Predictive functional control based on fuzzy model for heat-exchanger pilot plant, IEEE T. Fuzzy Systems, v. 8, n. 6, pp. 705-712.
142. Smith, S.M. and D.J. Comer (1992). Self-tuning of a fuzzy logic controller using a cell state space algorithm, Proc. FUZZ-IEEE'92, San Diego, pp. 615-622.
143. Steyn, W.H. (1994). Fuzzy control for a non-linear MIMO plant subject to control constraints, IEEE T. Systems, Man & Cybernetics, v. 24, n. 10, pp. 1565-1571.
144. Sugeno, M. (1999). On stability of fuzzy systems expressed by fuzzy rules with singleton consequents, IEEE T. Fuzzy Systems, v. 7, n. 2, pp. 201-224.
145. Sutton, R.S. and A.G. Barto (1998). Reinforcement learning: An introduction, MIT Press.
146. Suyitno, A., J. Fukijawa, H. Kobayashi and Y. Dote (1993). Variable-structured robust controller by fuzzy logic for servomotors, IEEE T. Industrial Electronics, v. 40, n. 1, pp. 80-87.
147. Takagi, T. and M. Sugeno (1985). Fuzzy identification of systems and its applications to modelling and control, IEEE T. Systems, Man & Cybernetics, V. 15, pp. 116-132.
148. Tanaka, K. and M. Sugeno (1992). Stability analysis and design of fuzzy control systems, Fuzzy Sets and Systems, v. 45, pp. 135-156.
149. Tanaka, K. and M. Sano (1993a). Fuzzy stability criterion of a class of nonlinear systems, Inform. Sci., v. 71, pp. 3-26.
150. Tanaka, K. and M. Sano (1993b). Design of fuzzy controller based on frequency and transient characteristics, Proc. FUZZ-IEEE'93, v. 1, pp. 111-116.
151. Tanaka, K. and M. Sano (1993c). Analysis and design of fuzzy controllers in frequency domain, Proc. IEEE IECON'93, v. 1, pp. 236-241.
152. Tanaka, K. (1995). Stability and stabilizability of fuzzy-neural-linear control systems, IEEE T. Fuzzy Systems, v. 3, n. 4, November, pp. 438-447.
153. Tanaka, K. and M. Sano (1995b). Frequency shaping for fuzzy control systems with unknown nonlinear plants by a learning method of neural networks, Fuzzy Sets and Systems, v. 71, pp. 71-84.
154. Tanaka, K., T. Ikeda and H.O. Wang (1996a). Robust stabilization of a class of uncertain nonlinear systems via fuzzy control: Quadratic stabilizability, Hoc control theory, and linear matrix inequalities, IEEE T. Fuzzy Systems, v. 4, n. 1, February, pp. 1-13.
155. Tanaka, K., T. Ikeda and H.O. Wang (1996b). Design of fuzzy control systems based on relaxed LMI stability condition, Proc. IEEE Conf. Decision and Control, v. 1, pp. 598-603.
156. Tanaka, K., T. Ikeda and H.O. Wang (1997). An LMI approach to fuzzy controller designs based on relaxed stability conditions, Proc. FUZZ-IEEE'97, v. 1, pp. 171-176.
157. Tanaka, K. and T. Ikeda (1998). Absolute stability conditions in a fuzzy phase-lead compensation and their extension to MIMO systems, IEEE T. Industrial Electronics, v. 45, n. 2, April, pp. 333-340.
158. Tanaka, K., T. Ikeda and H.O. Wang (1998a). Fuzzy regulators and fuzzy observers: Relaxed stability conditions and LMI-Based designs, IEEE T. Fuzzy Systems, v. 6, n. 2, May, pp. 250-265.
159. Tanaka, K., T. Taniguchi and H.O. Wang (1998b). Model-based fuzzy control of TORA system: Fuzzy regulator and fuzzy observer design via LMI that represent decay rate, disturbance rejection, robustness, optimality, Proc. FUZZ-IEEE'98, pp. 313-318.
160. Tanaka, K., T. Taniguchi and H.O. Wang (1998c). Fuzzy control based on quadratic performance function, Proc. IEEE Conf. Decision and Control, Tampa, pp. 2914-2919.
161. Tanaka, K. and H.O. Wang (2000). LMI-based Fuzzy control: Fuzzy regulator and fuzzy observer design via LMIs. In: Fuzzy control. Synthesis and analysis (Farinwata, S.S., Filev, D., and Langari, R., (Ed.)), pp. 253-265. John Wiley.
162. Teixeira, M.C.M. and S.H. Zak (1999). Stabilizing controller design for uncertain nonlinear systems using fuzzy models, IEEE T. Fuzzy Systems, v. 7, n. 2, pp. 133-142.
163. Thrift, P. (1991). Fuzzy logic synthesis with genetic algorithms, Proc. Fourth Intl. Conf. Genetic Algorithms, pp. 509-513.
164. Tong, S., J. Tang and T. Wang (2000). Fuzzy adaptive control of multivariable nonlinear systems, Fuzzy Sets and Systems, v. 111, pp. 153-161.
165. Tsay, D.L., H.Y. Chung and C.J. Lee (1999). The adaptive control of nonlinear systems using the Sugeno-type of fuzzy logic, IEEE T. Fuzzy Systems, v. 7, n. 2, pp. 225-229.
166. Valente de Oliveira, J. and J.M. Lemos (2000). A Comparison of some adaptive-predictive fuzzy-control strategies, IEEE T. Systems, Man & Cybernetics, part C, v. 30, n. 1, pp. 138-145.
167. van Buijtenen, W.M., G. Schram, R. Babuska and H.B. Verbruggen (1998). Adaptive fuzzy control of satellite attitude by reinforcement learning, IEEE T. Fuzzy Systems, v. 6, n. 2, pp. 185-194.
168. Wang, H.O., K. Tanaka and M.F. Griffin (1995). Parallel distributed compensation of nonlinear systems by Takagi and Sugeno's fuzzy model, Proc. FUZZ-IEEE'95, pp. 531-538.
169. Wang, H.O., K. Tanaka and M.F. Griffin (1996). An approach to fuzzy control of nonlinear systems: Stability and design issues, IEEE T. Fuzzy Systems, v. 4, n. 1, February, pp. 14-23.
170. Wang, H.O. and K. Tanaka (1996). An LMI-based stable fuzzy control of nonlinear systems and its application to control of chaos, Proc. FUZZ-IEEE'96, v. 2, pp. 1433-1438.
171. Wang, L.X. and J.M. Mendel (1992). Fuzzy basis functions, universal approximation, and orthogonal least-squares learning, IEEE T. Neural Networks, v. 3, n. 5, pp. 807-814.
172. Wang, L.X. (1993). Stable adaptive fuzzy control of nonlinear systems, IEEE T. Fuzzy Systems, v. 1, pp. 146-155.
173. Wang, L.X. (1994a). Adaptive fuzzy systems and control - Design and stability analysis, Prentice-Hall.
174. Wang, L.X. (1994b). A supervisory controller for fuzzy control systems that guarantees stability, Proc. FUZZ-IEEE'94, pp. 1035-1039.
175. Wang, L.X. (1999). Automatic design of fuzzy controllers, Automatica, v. 35, pp. 1471-1475.
176. Wang, P.Z., H.M. Zhang and W. Xu (1990). Pad-analysis of fuzzy control stability, Fuzzy Sets and Systems, v. 38, pp. 27-42.
177. Wang, W.J. and H.R. Lin (1998). Fuzzy control design for the trajectory tracking in phase plane, IEEE T. Systems, Man & Cybernetics, part A, v. 28, n. 5, pp. 710-719.
178. Wang, W.J. and H.R. Lin (1999). Fuzzy control design for the trajectory tracking on uncertain nonlinear systems, IEEE T. Fuzzy Systems, v. 7, n. 1, pp. 53-62.
179. Wong, L.K., F.H.F. Leung and P.K.S. Tarn (1997). Lyapunov function based design of heuristic fuzzy logic controllers, Proc. FUZZ-IEEE'97, Barcelona, v. 3, pp. 281-285.
180. Wong, L.K., F.H.F. Leung and P.K.S. Tarn (1998). Lyapunov-function-based design of fuzzy logic controllers and its application on combining controllers, IEEE T. Industrial Electronics, v. 45, n. 3, June, pp. 502-509.
181. Wu, S.J. and Ch. T. Lin (2000). Optimal fuzzy controller design: Local concept approach, IEEE T. Fuzzy Systems, v. 8, n. 2, April, pp. 171-185.
182. Xu, J-X, Liu, C. and C.C. Hang (1996). Designing a stable fuzzy PI control system using extended circle criterion, Int. J. Intel. Control Systems, v. 1, n. 3, pp. 355-366.
183. Ying, H. (1993). 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, v. 29, pp. 499-505.
184. Ying, H. (1994a). Practical design of nonlinear fuzzy controllers with stability analysis for regulating processes with unknown mathematical models, Automatica, v. 30, pp. 1185-1195.
185. Ying, H. (1994b). Analytical structure of a two-input two-output fuzzy controller and its relation to PI and multilevel relay controllers, Fuzzy Sets and Systems, v. 63, pp. 21-33.
186. Ying, H. (1998). An analytical study of structure, stability and design of general nonlinear Takagi-Sugeno fuzzy control systems, Automatica, v. 34, n. 12, pp. 1617-1623.
187. Ying, H. (1999). Analytical analysis and feedback linearization tracking control of the general Takagi-Sugeno fuzzy dynamic systems, IEEE T. Systems, Man & Cybernetics, part C, v. 29, n. 2, pp. 290-298.
188. Ying, H. (2000). Analytical study of structure of a Mamdani fuzzy controller with three input variables, in Fuzzy control. Synthesis and analysis, Farinwata, S.S., Filev, D., and Langari, R., (Eds.). John Wiley, pp. 153-164.
189. Zeng, K., N.Y. Zhang and W.L. Xu (2000). A comparative study on sufficient conditions for Takagi-Sugeno fuzzy systems as universal approximators, IEEE T. Fuzzy Systems, v. 8, n. 6, pp. 773-780.
190. Zhao, J. V. Wertz and R. Gorez (1995). Linear T-S fuzzy model based robust stabilizing controller design, Proc. IEEE Conf. Decision and Control, New Orleans, pp. 255-260.
191. Zhao, Z.Y., M. Tomizyoshi and S. Isaka (1993). Fuzzy gain scheduling of PID controllers, IEEE T. System, Man & Cybernetics, v. 23, p. 1392-1398.
192. Zitzler, E. and L. Thiele (1999). Multiobjective evolutionary algorithms: A comparative case study and the strength Pareto approach, IEEE T. Evolutionary Computation, v. 3, n. 4, pp. 257-271.