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Volumn 2, Issue , 1999, Pages 1108-1113

Progress in on-line adaptive, learning and evolutionary strategies for fuzzy logic control

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; EXPERT SYSTEMS; FUZZY CONTROL; GENETIC ALGORITHMS; LEARNING SYSTEMS; NEURAL NETWORKS; ONLINE SYSTEMS;

EID: 0033315391     PISSN: None     EISSN: 21645256     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (2)

References (68)
  • 1
    • 0032164764 scopus 로고    scopus 로고
    • A genetic-based neuro-fuzzy approach for modeling and control of dynamical systems
    • W. A. Farag, "A genetic-based neuro-fuzzy approach for modeling and control of dynamical systems", IEEE Trans. on Neural Networks, vol. 9, no. 5, pp. 756-767, 1998.
    • (1998) IEEE Trans. on Neural Networks , vol.9 , Issue.5 , pp. 756-767
    • Farag, W.A.1
  • 2
    • 0032096274 scopus 로고    scopus 로고
    • Sensitivity-based self-learning fuzzy logic control for a servo system
    • Z. Kovacic, "Sensitivity-based self-learning fuzzy logic control for a servo system", IEEE Control Systems Magazine, vol. 18, no. 3, pp. 41-51, 1998.
    • (1998) IEEE Control Systems Magazine , vol.18 , Issue.3 , pp. 41-51
    • Kovacic, Z.1
  • 3
    • 0028735612 scopus 로고
    • Customer-adaptive fuzzy logic control of home heating system
    • , pp
    • C. von Altrock, "Customer-adaptive fuzzy logic control of home heating system", Proc. of 3rd IEEE Conference on Fuzzy Systems, pp. 1713-1718, 1994.
    • (1994) Proc. of 3Rd IEEE Conference on Fuzzy Systems , pp. 1713-1718
    • von Altrock, C.1
  • 4
    • 64049111612 scopus 로고    scopus 로고
    • A fuzzy approach to greenhouse climate control
    • 1998 American Control Conference, ACC 1998; Philadelphia, PA; United States; 24 June 1998 through 26 June 1998; Category number98CH36207; Code 98440
    • Caponetto, R., Fortuna, L., Nunnari, G., Occhipinti, L. A fuzzy approach to greenhouse climate control, Proceedings of the American Control Conference, Volume 3, 1998, Article number 707343, Pages 1866-1870 DOI: 10.1109/ACC.1998.707343, 1998 American Control Conference, ACC 1998; Philadelphia, PA; United States; 24 June 1998 through 26 June 1998; Category number98CH36207; Code 98440.
    • (1998) Proceedings of the American Control Conference , vol.3 , pp. 1866-1870
    • Caponetto, R.1    Fortuna, L.2    Nunnari, G.3    Occhipinti, L.4
  • 6
    • 0031619794 scopus 로고    scopus 로고
    • Hierarchical genetic fuzzy controller for a solar power plant
    • J. Y. Ke, "Hierarchical genetic fuzzy controller for a solar power plant", Proc. IEEE on Industrial Electronics Proceedings, pp. 584-588, 1998.
    • (1998) Proc. IEEE on Industrial Electronics Proceedings , pp. 584-588
    • Ke, J.Y.1
  • 7
    • 0032047429 scopus 로고    scopus 로고
    • Ship-mounted satellite tracking antenna with fuzzy logic control
    • H. C. Tseng, D. W. Teo, "Ship-mounted satellite tracking antenna with fuzzy logic control", IEEE Trans. on Aerospace and Electronic, vol. 34, no. 2, pp. 639-645, 1998.
    • (1998) IEEE Trans. on Aerospace and Electronic , vol.34 , Issue.2 , pp. 639-645
    • Tseng, H.C.1    Teo, D.W.2
  • 8
    • 0032103110 scopus 로고    scopus 로고
    • Computer simulation of FES standing up in paraplegia: A self-adaptive fuzzy controller with reinforcement learning
    • R. Davoodi, B. J. Andrews, "Computer simulation of FES standing up in paraplegia: a self-adaptive fuzzy controller with reinforcement learning", IEEE Trans. on Rehabilitation Engineering, vol. 6, no. 2, pp. 151-161, 1998.
    • (1998) IEEE Trans. on Rehabilitation Engineering , vol.6 , Issue.2 , pp. 151-161
    • Davoodi, R.1    Andrews, B.J.2
  • 9
    • 0032204499 scopus 로고    scopus 로고
    • Design of new adaptive fuzzy logic controller for nonlinear plants with unknown or time-varying dead zones
    • S.-Y. Oh, D.-J. Park, "Design of new adaptive fuzzy logic controller for nonlinear plants with unknown or time-varying dead zones", IEEE Trans. Fuzzy Systems, vol. 6, no. 4, pp. 482-491, 1998.
    • (1998) IEEE Trans. Fuzzy Systems , vol.6 , Issue.4 , pp. 482-491
    • Oh, S.-Y.1    Park, D.-J.2
  • 10
    • 0031699499 scopus 로고    scopus 로고
    • Compensatory neurofuzzy systems with fast learning algorithms
    • Z. Yan-Qing, A. Kandel, "Compensatory neurofuzzy systems with fast learning algorithms", IEEE Trans. on Neural Networks, vol. 9, no. 1, pp. 83-105, 1998.
    • (1998) IEEE Trans. on Neural Networks , vol.9 , Issue.1 , pp. 83-105
    • Yan-Qing, Z.1    Kandel, A.2
  • 11
    • 0031997283 scopus 로고    scopus 로고
    • Minimal fuzzy memberships and rules using hierarchical genetic algorithms
    • K.-S. Tang, "Minimal fuzzy memberships and rules using hierarchical genetic algorithms", IEEE Trans. on Industrial Electronics, vol. 45, no. 1, pp. 162-169, 1998.
    • (1998) IEEE Trans. on Industrial Electronics , vol.45 , Issue.1 , pp. 162-169
    • Tang, K.-S.1
  • 12
    • 0032140718 scopus 로고    scopus 로고
    • Fuzzy inference system learning by reinforcement methods
    • L. Jouffe, "Fuzzy inference system learning by reinforcement methods", IEEE Trans. on SMC-Part C: Applications and Reviews, vol. 28, no. 3, pp. 338-355, 1998.
    • (1998) IEEE Trans. on Smc-Part C: Applications and Reviews , vol.28 , Issue.3 , pp. 338-355
    • Jouffe, L.1
  • 13
    • 0030708374 scopus 로고    scopus 로고
    • Ventilation control learning with FACL
    • L. Jouffe, "Ventilation control learning with FACL", Proc. FUZZ-IEEE, pp. 1719-1724, 1997.
    • (1997) Proc. FUZZ-IEEE , pp. 1719-1724
    • Jouffe, L.1
  • 15
    • 0032103110 scopus 로고    scopus 로고
    • Computer simulation of FES standing up in paraplegia a self-adaptive fuzzy controller with reinforcement learning
    • R. Davoodi, B. J. Andrews, "Computer simulation of FES standing up in paraplegia a self-adaptive fuzzy controller with reinforcement learning", IEEE Trans. on Rehabilitation Engineering, vol. 6, no. 2, pp. 151-161, 1998.
    • (1998) IEEE Trans. on Rehabilitation Engineering , vol.6 , Issue.2 , pp. 151-161
    • Davoodi, R.1    Andrews, B.J.2
  • 16
    • 85075768596 scopus 로고    scopus 로고
    • A self-learning fuzzy logic controller using reinforcement
    • W. Zhijie, F. Jianan, S. Shihuang, "A self-learning fuzzy logic controller using reinforcement", Control and Decision, vol. 12, no. 2, pp. 188-191, 1997.
    • (1997) Control and Decision , vol.12 , Issue.2 , pp. 188-191
    • Zhijie, W.1    Jianan, F.2    Shihuang, S.3
  • 17
    • 0032258636 scopus 로고    scopus 로고
    • Learning to control an inverted pendulum using Q-learning and neural networks
    • J. Guofei, W. Cangpu, "Learning to control an inverted pendulum using Q-learning and neural networks", Acta Automatica Sinica, vol. 24, no. 5, pp. 663-666, 1998.
    • (1998) Acta Automatica Sinica , vol.24 , Issue.5 , pp. 663-666
    • Guofei, J.1    Cangpu, W.2
  • 18
    • 0025225150 scopus 로고
    • Competitive learning algorithms for vector quantization
    • S. C. Ahalt, "Competitive learning algorithms for vector quantization", IEEE Trans. Neural Networks, vol. 3, no. 2, pp. 277-291, 1992.
    • (1992) IEEE Trans. Neural Networks , vol.3 , Issue.2 , pp. 277-291
    • Ahalt, S.C.1
  • 19
    • 0027629412 scopus 로고
    • Rival penalized competitive learning for clustering analysis RBF net and curve detection
    • , vol., pp
    • L. Xu, A. Krzyzak, E. Oja, "Rival penalized competitive learning for clustering analysis RBF net and curve detection", IEEE Trans. Neural Networks, vol. 4, pp. 636-649, 1993.
    • (1993) IEEE Trans. Neural Networks , vol.4 , pp. 636-649
    • Xu, L.1    Krzyzak, A.2    Oja, E.3
  • 22
    • 0030371403 scopus 로고    scopus 로고
    • Design of a neural-fuzzy controller based on fuzzy differential competitive learning
    • G. Ming, S. Yiuxian, "Design of a neural-fuzzy controller based on fuzzy differential competitive learning", Proc. of the IEEE Inter. Conf. on Industrial Technology, pp. 697-700, 1996.
    • (1996) Proc. of the IEEE Inter. Conf. on Industrial Technology , pp. 697-700
    • Ming, G.1    Yiuxian, S.2
  • 23
    • 0032070502 scopus 로고    scopus 로고
    • Nonlinear system modeling by competitive learning and adaptive fuzzy inference system
    • C. Jian-Qin, Y.-G. Xi, "Nonlinear system modeling by competitive learning and adaptive fuzzy inference system", IEEE Trans. on Systems Man and Cybernetics, vol. 28, no. 2, pp. 231-238, 1998.
    • (1998) IEEE Trans. on Systems Man and Cybernetics , vol.28 , Issue.2 , pp. 231-238
    • Jian-Qin, C.1    Xi, Y.-G.2
  • 24
    • 0004683439 scopus 로고
    • Construction of fuzzy models through clustering techniques
    • , vol., pp
    • Y. Yushinari, W. Pedrycz, K. Hiroka, "Construction of fuzzy models through clustering techniques", Fuzzy Sets and Systems, vol. 54, pp. 157-165, 1993.
    • (1993) Fuzzy Sets and Systems , vol.54 , pp. 157-165
    • Yushinari, Y.1    Pedrycz, W.2    Hiroka, K.3
  • 25
    • 85075770998 scopus 로고    scopus 로고
    • Research of training algorithm of adaptive fuzzy logic system using clustering
    • L. Xuefeng, "Research of training algorithm of adaptive fuzzy logic system using clustering", Control and Decision, vol. 11, no. 4, pp. 514-516, 1996.
    • (1996) Control and Decision , vol.11 , Issue.4 , pp. 514-516
    • Xuefeng, L.1
  • 27
    • 0038324667 scopus 로고    scopus 로고
    • On-line identification of nonlinear systems using fuzzy model
    • C. Jianqin, X. yugeng, "On-line identification of nonlinear systems using fuzzy model", Acta Automatica Sinica, vol. 24, no. 1, pp. 90-94, 1998.
    • (1998) Acta Automatica Sinica , vol.24 , Issue.1 , pp. 90-94
    • Jianqin, C.1    Yugeng, X.2
  • 28
    • 0032165292 scopus 로고    scopus 로고
    • Fuzzy lattice neural network (FLNN): A hybrid model for learning
    • V. Petridis, V G. Kaburlasos, "Fuzzy lattice neural network (FLNN): a hybrid model for learning", IEEE Trans. on Neural Networks, vol. 9, no. 5, pp. 877-890, 1998.
    • (1998) IEEE Trans. on Neural Networks , vol.9 , Issue.5 , pp. 877-890
    • Petridis, V.1    Kaburlasos, V.G.2
  • 29
    • 0031273207 scopus 로고    scopus 로고
    • Learning issues in model reference based fuzzy control
    • D. S. Reay, M. W. Dunnigan, "Learning issues in model reference based fuzzy control", IEE Proc. Control Theory and Applications, vol. 144, no. 6, pp. 605-611, 1997.
    • (1997) IEE Proc. Control Theory and Applications , vol.144 , Issue.6 , pp. 605-611
    • Reay, D.S.1    Dunnigan, M.W.2
  • 30
    • 0027814850 scopus 로고
    • Fuzzy model reference learning control for cargo ship steering
    • J. R. Layne, K. M. Passino, "Fuzzy model reference learning control for cargo ship steering", IEEE Control Systems Magazine, vol. 13, no. 6, pp. 23-34, 1993.
    • (1993) IEEE Control Systems Magazine , vol.13 , Issue.6 , pp. 23-34
    • Layne, J.R.1    Passino, K.M.2
  • 34
    • 0000397076 scopus 로고
    • Indirect adaptive fuzzy control
    • C. G. Moore, C. J. Harris, "Indirect adaptive fuzzy control", Inter. Journal of Control, vol. 56, no. 2, pp. 441-468, 1992.
    • (1992) Inter. Journal of Control , vol.56 , Issue.2 , pp. 441-468
    • Moore, C.G.1    Harris, C.J.2
  • 36
    • 0032202974 scopus 로고    scopus 로고
    • Fuzzy model-based control of complex plants
    • K. Kiriakidis, "Fuzzy model-based control of complex plants", IEEE Trans. on Fuzzy Systems, vol. 6, no. 4, pp. 517-529, 1998.
    • (1998) IEEE Trans. on Fuzzy Systems , vol.6 , Issue.4 , pp. 517-529
    • Kiriakidis, K.1
  • 37
    • 0030271092 scopus 로고    scopus 로고
    • Stable adaptive fuzzy controllers with application to inverted pendulum tracking
    • , vol., no
    • W. Li-Xin, "Stable adaptive fuzzy controllers with application to inverted pendulum tracking", Trans. on SMC-Part B: Cybernetics, vol. 26, no. 5, 1996.
    • (1996) Trans. on Smc-Part B: Cybernetics , vol.26 , Issue.5
    • Li-Xin, W.1
  • 38
    • 0026253964 scopus 로고
    • Hierarchical fuzzy control
    • G. V. S. Raju, "Hierarchical fuzzy control", Inter. Journal of Control, vol. 54, no. 5, pp. 1201-1216, 1991.
    • (1991) Inter. Journal of Control , vol.54 , Issue.5 , pp. 1201-1216
    • Raju, G.V.S.1
  • 39
    • 0027634631 scopus 로고
    • Adaptive hierarchical fuzzy controller
    • G. V. S. Raju, "Adaptive hierarchical fuzzy controller", IEEE Trans. on SMC, vol. 23, no. 4, pp. 973-980, 1993.
    • (1993) IEEE Trans. on SMC , vol.23 , Issue.4 , pp. 973-980
    • Raju, G.V.S.1
  • 40
    • 0032002594 scopus 로고    scopus 로고
    • On the construction of hierarchical fuzzy systems models
    • R. R. Yager, "On the construction of hierarchical fuzzy systems models", IEEE Trans. on SMC-Part C: Applications and Reviews, vol. 28, no. 1, pp. 55-66, 1998.
    • (1998) IEEE Trans. on Smc-Part C: Applications and Reviews , vol.28 , Issue.1 , pp. 55-66
    • Yager, R.R.1
  • 41
    • 0025387619 scopus 로고
    • Knowledge based fuzzy control of systems
    • F. Rhee, "Knowledge based fuzzy control of systems", IEEE Trans. on Automatic Control, vol. 35, no. 2, pp. 148-155, 1990.
    • (1990) IEEE Trans. on Automatic Control , vol.35 , Issue.2 , pp. 148-155
    • Rhee, F.1
  • 42
    • 85075767278 scopus 로고
    • A new intelligent fuzzy control algorithm and its application
    • L. Lizhi, J. Yuzhen, "A new intelligent fuzzy control algorithm and its application", Control and Decision, vol. 10, no. 1, pp. 93-96, 1995.
    • (1995) Control and Decision , vol.10 , Issue.1 , pp. 93-96
    • Lizhi, L.1    Yuzhen, J.2
  • 43
    • 85048988802 scopus 로고    scopus 로고
    • An Expert Fuzzy Control Method
    • M. Fei, "An Expert Fuzzy Control Method", Control and Decision, 1996.
    • (1996) Control and Decision
    • Fei, M.1
  • 44
    • 0030380225 scopus 로고    scopus 로고
    • R&D For Expert Autotuning Controller
    • M. Fei, "R&D For Expert Autotuning Controller", Proc. IEEE SMC, 1996.
    • (1996) Proc. IEEE SMC
    • Fei, M.1
  • 45
    • 0029307712 scopus 로고
    • Genetic algorithms for fuzzy control - Part 2: Online system development and application
    • D. A. Linkens, H. O. Nyongesa, "Genetic algorithms for fuzzy control - Part 2: online system development and application", IEE Proc. Control Theory and Applications, vol. 142, no. 3, pp. 177-185, 1995.
    • (1995) IEE Proc. Control Theory and Applications , vol.142 , Issue.3 , pp. 177-185
    • Linkens, D.A.1    Nyongesa, H.O.2
  • 46
    • 0032140158 scopus 로고    scopus 로고
    • A synchronous generator fuzzy excitation controller optimally designed with a genetic algorithm
    • W. Jinyu, "A synchronous generator fuzzy excitation controller optimally designed with a genetic algorithm", IEEE Trans. on Power Systems, vol. 13, no. 3, pp. 884-889, 1998.
    • (1998) IEEE Trans. on Power Systems , vol.13 , Issue.3 , pp. 884-889
    • Jinyu, W.1
  • 48
    • 0029488783 scopus 로고
    • Genetic algorithms in learning fuzzy hierarchical control of distributed parameter systems
    • M. R. Akbarzadeh-T, "Genetic algorithms in learning fuzzy hierarchical control of distributed parameter systems", IEEE International Conf. on SMC, pp. 4027-4032, 1995.
    • (1995) IEEE International Conf. on SMC , pp. 4027-4032
    • Akbarzadeh-T, M.R.1
  • 49
    • 0031997167 scopus 로고    scopus 로고
    • New Techniques for genetic development of a class of fuzzy controllers
    • D. Leitch, P. J. Probert, "New Techniques for genetic development of a class of fuzzy controllers", IEEE Trans. on SMC-Part C: Applications and Reviews, vol. 28, no. 1, pp. 112-123, 1998.
    • (1998) IEEE Trans. on Smc-Part C: Applications and Reviews , vol.28 , Issue.1 , pp. 112-123
    • Leitch, D.1    Probert, P.J.2
  • 50
    • 0030171376 scopus 로고    scopus 로고
    • Hierarchical distributed genetic algorithms: A fuzzy logic controller design application
    • J. Kim, B. P. Zeigler, "Hierarchical distributed genetic algorithms: a fuzzy logic controller design application", IEEE Expert, vol. 11, no. 3, pp. 76-84, 1996.
    • (1996) IEEE Expert , vol.11 , Issue.3 , pp. 76-84
    • Kim, J.1    Zeigler, B.P.2
  • 51
    • 0026366218 scopus 로고
    • Neural-network-based fuzzy logic control and decision system
    • C. T. Lin, C. S. G. Lee, "Neural-network-based fuzzy logic control and decision system", IEEE Trans. on Computer, vol. 40, no. 12, pp. 1320-1336, 1991.
    • (1991) IEEE Trans. on Computer , vol.40 , Issue.12 , pp. 1320-1336
    • Lin, C.T.1    Lee, C.S.G.2
  • 52
    • 0031189884 scopus 로고    scopus 로고
    • Implementation of intelligent self-organising controllers in DSP controlled electromechanical drives
    • A. F. Stronach, "implementation of intelligent self-organising controllers in DSP controlled electromechanical drives", IEE Proc. Control Theory and Applications, vol. 144, no. 4, pp. 324-330, 1997.
    • (1997) IEE Proc. Control Theory and Applications , vol.144 , Issue.4 , pp. 324-330
    • Stronach, A.F.1
  • 53
    • 0028741196 scopus 로고
    • Neuro-fuzzy control using self-organizing neural nets
    • F. Zia, C. Isik, "Neuro-fuzzy control using self-organizing neural nets", Proc. 3rd IEEE Conf. on Fuzzy Systems, pp. 70-75, 1994.
    • (1994) Proc. 3Rd IEEE Conf. on Fuzzy Systems , pp. 70-75
    • Zia, F.1    Isik, C.2
  • 55
    • 0029531286 scopus 로고
    • TMS320 DSP based neuro-fuzzy controller
    • K. K. Kumbla, "TMS320 DSP based neuro-fuzzy controller", IEEE International Conf. on SMC, pp. 4015-4020, 1995.
    • (1995) IEEE International Conf. on SMC , pp. 4015-4020
    • Kumbla, K.K.1
  • 57
    • 0031699499 scopus 로고    scopus 로고
    • Compensatory neurofuzzy systems with fast learning algorithms
    • Z. Yan-Qing, A. Kandel, "Compensatory neurofuzzy systems with fast learning algorithms", IEEE Trans. on Neural Networks, vol. 9, no. 1, pp. 83-105, 1998.
    • (1998) IEEE Trans. on Neural Networks , vol.9 , Issue.1 , pp. 83-105
    • Yan-Qing, Z.1    Kandel, A.2
  • 58
    • 0032074870 scopus 로고    scopus 로고
    • A trainable transparent universal approximator for defuzzification in Mamdani-type neuro-fuzzy controllers
    • S. K. Halgamuge, "A trainable transparent universal approximator for defuzzification in Mamdani-type neuro-fuzzy controllers", IEEE Trans. on Fuzzy Systems, vol. 6, no. 2, pp. 304-314, 1998.
    • (1998) IEEE Trans. on Fuzzy Systems , vol.6 , Issue.2 , pp. 304-314
    • Halgamuge, S.K.1
  • 60
    • 0031208215 scopus 로고    scopus 로고
    • A new approach to fuzzy modeling
    • E. Kim, "A new approach to fuzzy modeling", IEEE Trans. on Fuzzy Systems, vol. 5, no. 3, pp. 328-337, 1997.
    • (1997) IEEE Trans. on Fuzzy Systems , vol.5 , Issue.3 , pp. 328-337
    • Kim, E.1
  • 61
    • 0031678136 scopus 로고    scopus 로고
    • Research on Synthetic Method of Intelligent Control Based on System Response Characteristics
    • M. Fei, "Research on Synthetic Method of Intelligent Control Based on System Response Characteristics", Proc. of IEEE ICIPS, pp. 661-665, 1997.
    • (1997) Proc. of IEEE ICIPS , pp. 661-665
    • Fei, M.1
  • 62
    • 0032205732 scopus 로고    scopus 로고
    • Improving the interpretability of TSK fuzzy models by combining global learning and local learning
    • J. Yen, "Improving the interpretability of TSK fuzzy models by combining global learning and local learning", IEEE Trans. on Fuzzy Systems, vol. 6, no. 4, pp. 530-537, 1998.
    • (1998) IEEE Trans. on Fuzzy Systems , vol.6 , Issue.4 , pp. 530-537
    • Yen, J.1
  • 64
    • 0032142042 scopus 로고    scopus 로고
    • FuGeNeSys- A Fuzzy genetic neural system for fuzzy modeling
    • M. Russo, "FuGeNeSys- A Fuzzy genetic neural system for fuzzy modeling", IEEE Trans. on Fuzzy Systems, vol. 6, no. 3, pp. 373-388, 1998.
    • (1998) IEEE Trans. on Fuzzy Systems , vol.6 , Issue.3 , pp. 373-388
    • Russo, M.1
  • 65
    • 0030350798 scopus 로고    scopus 로고
    • Messy genetic algorithm based new learning method for structurally optimised neurofuzzy controllers", Proc. Of the IEEE Inter. Conf. an Industrial
    • M. Munir-ul, "Messy genetic algorithm based new learning method for structurally optimised neurofuzzy controllers", Proc. of the IEEE Inter. Conf. an Industrial Technology, pp. 274-278, 1996.
    • (1996) Technology , pp. 274-278
    • Munir-Ul, M.1
  • 66
    • 0029327985 scopus 로고
    • Designing Fuzzy net controllers using genetic algorithms
    • J. Kim, Y. Moon, B. P. Zeigler, "Designing Fuzzy net controllers using genetic algorithms", IEEE Control Systems Magazine, vol. 15, no. 3, pp. 66-72, 1995.
    • (1995) IEEE Control Systems Magazine , vol.15 , Issue.3 , pp. 66-72
    • Kim, J.1    Moon, Y.2    Zeigler, B.P.3
  • 67
    • 0030190701 scopus 로고    scopus 로고
    • Learning systems in intelligent control: An appraisal of fuzzy neural and genetic algorithm control applications
    • D. A. Linkens, H. O. Nyongesa, "Learning systems in intelligent control: an appraisal of fuzzy neural and genetic algorithm control applications", IEE Proc. Control Theory and Applications, vol. 143, no. 4, pp. 367-386, 1996.
    • (1996) IEE Proc. Control Theory and Applications , vol.143 , Issue.4 , pp. 367-386
    • Linkens, D.A.1    Nyongesa, H.O.2
  • 68
    • 0031356257 scopus 로고    scopus 로고
    • Control and diagnosis for AC drives and UPS systems using soft computing
    • Y. Dote, R. G. Hoft, "Control and diagnosis for AC drives and UPS systems using soft computing", Proc. of the Power Conversion Conference, pp. 519-524, 1997.
    • (1997) Proc. of the Power Conversion Conference , pp. 519-524
    • Dote, Y.1    Hoft, R.G.2


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