A new methodology for the online adaptation of fuzzy self-structuring controllers

IEEE Transactions on Fuzzy Systems

Volumn 19, Issue 3, 2011, Pages 449-464

  Cara, Ana Belén ^a   Pomares, Héctor ^a   Rojas, Ignacio ^a  

^a UNIVERSITY OF GRANADA   (Spain)

Author keywords

Adaptive control; adaptive fuzzy system; fuzzy control; self structuring fuzzy system

Indexed keywords

ADAPTIVE CONTROL; ADAPTIVE FUZZY SYSTEM; FUZZY CONTROLLERS; NORMAL OPERATIONS; OFF-LINE TRAINING; ON-LINE ADAPTATION; ONLINE METHODS; OPERATING REGIONS; SELF-DESIGN; SELF-STRUCTURING; SELF-STRUCTURING FUZZY SYSTEMS; SIMULATION EXAMPLE; VARIABLE SELECTION;

CONTROLLERS; DIFFERENTIAL EQUATIONS; FUZZY CONTROL; FUZZY SETS; FUZZY SYSTEMS; MEMBERSHIP FUNCTIONS; ROBUSTNESS (CONTROL SYSTEMS); TOPOLOGY;

FUZZY LOGIC;

EID: 79958007366     PISSN: 10636706     EISSN: None     Source Type: Journal    
DOI: 10.1109/TFUZZ.2011.2112369     Document Type: Article

References (36)

1. H. Ying, Fuzzy Control and Modeling: Analytical Foundations and Applications. New York/Piscataway, NJ: Wiley-IEEE Press, 2000.
2. X. Jiang and Q. Han, "On designing fuzzy controllers for a class of nonlinear networked control systems," IEEE Trans. Fuzzy Syst., vol. 16, no. 4, pp. 1050-1060, Aug. 2008.
3. W. Wang, Y. Chien, and I. Li, "An on-line robust and adaptive T-S fuzzyneural controller for more general unknown systems," Int. J. Fuzzy Syst., vol. 10, no. 1, pp. 33-43, 2008. (Pubitemid 351554687)
4. M.Mucientes and J.Casillas, "Quick design of fuzzy controllerswith good interpretability in mobile robotics," IEEE Trans. Fuzzy Syst., vol. 15, no. 4, pp. 636-651, Aug. 2007. (Pubitemid 47321553)
5. I. Rojas, H. Pomares, J. Gonzalez, L. Herrera, A. Guillen, F. Rojas, and O. Valenzuela, "Adaptive fuzzy controller: Application to the control of the temperature of a dynamic room in real time," Fuzzy Sets Syst., vol. 157, no. 16, pp. 2241-2258, 2006. (Pubitemid 44088663)
6. Y. Gao and M. J. Er, "An intelligent adaptive control scheme for postsurgical blood pressure regulation," IEEE Trans. Neural Netw., vol. 16, no. 2, pp. 475-483, Mar. 2005. (Pubitemid 40390829)
7. J. Castro, "Fuzzy logic controllers are universal approximators," IEEE Trans. Syst., Man, Cybern., vol. 25, no. 4, pp. 629-635, Apr. 1995.
8. A. Rajapakse, K. Furuta, and S. Kondo, "Evolutionary learning of fuzzy logic controllers and their adaptation through perpetual evolution," IEEE Trans. Fuzzy Syst., vol. 10, no. 3, pp. 309-321, Jun. 2002. (Pubitemid 34807720)
9. S. Lalouni, D. Rekioua, T. Rekioua, and E. Matagne, "Fuzzy logic control of stand-alone photovoltaic system with battery storage," J. Power Sources, vol. 193, no. 2, pp. 899-907, 2009.
10. M. Galluzzo and B. Cosenza, "Control of the biodegradation of mixed wastes in a continuous bioreactor by a type-2 fuzzy logic controller," Comput. Chem. Eng., vol. 33, no. 9, pp. 1475-1483, 2009.
11. Y. Liu andY. Zheng, "Adaptive robust fuzzy control for a class of uncertain chaotic systems," Nonlinear Dyn., vol. 57, no. 3, pp. 431-439, 2009.
12. D. Bellomo, D. Naso, and R. Babuska, "Adaptive fuzzy control of a nonlinear servo-drive: Theory and experimental results," Eng. Appl. Artif. Intell., vol. 21, no. 6, pp. 846-857, 2008.
13. Y. Gao and M. J. Er, "Online adaptive fuzzy neural identification and control of a class of MIMO nonlinear systems," IEEE Trans. Fuzzy Syst., vol. 11, no. 4, pp. 462-477, Aug. 2003.
14. J. Park, G. Park, S. Kim, and C. Moon, "Direct adaptive self-structuring fuzzy controller for nonaffine nonlinear system," Fuzzy Sets Syst., vol. 153, no. 3, pp. 429-445, 2005. (Pubitemid 40682458)
15. P. A. Phan and T. J. Gale, "Direct adaptive fuzzy control with a selfstructuring algorithm," Fuzzy Sets Syst., vol. 159, no. 8, pp. 871-899, 2008. (Pubitemid 351273416)
16. H. Mingzhi,W. Jinquan, M.Yongwen,W.Yan, L.Weijiang, and S.Xiaofei, "Control rules of aeration in a submerged biofilm wastewater treatment process using fuzzy neural networks," Expert Syst. Appl., vol. 36, no. 7, pp. 10 428-10 437, 2009.
17. C. H. Chen, C. J. Lin, and C. T. Lin, "Nonlinear system control using adaptive neural fuzzy networks based on a modified differential evolution," IEEE Trans. Syst.,Man, Cybern. C, Appl. Rev., vol. 39, no. 4, pp. 459-473, Jul. 2009.
18. C. Lin and Y. Xu, "A novel genetic reinforcement learning for nonlinear fuzzy control problems," Neurocomputing, vol. 69, no. 16-18, pp. 2078-2089, 2006. (Pubitemid 44375532)
19. C. Li and C. Lee, "Self-organizing neuro-fuzzy system for control of unknown plants," IEEE Trans. Fuzzy Syst., vol. 11, no. 1, pp. 135-150, Feb. 2003.
20. C. Juang, "A symbiotic genetic algorithm with local-and-global mapping search for reinforcement fuzzy control," J. Intell. Fuzzy Syst., vol. 19, no. 2, pp. 103-114, 2008. (Pubitemid 351533822)
21. M. Zarandi, "Reinforcement learning for fuzzy control with linguistic states," J. Uncertain Syst., vol. 2, no. 1, pp. 54-66, 2008.
22. H. Andersen, A. Lotfi, and A. Tsoi, "A new approach to adaptive fuzzy control: the controller output error method," IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 27, no. 4, pp. 686-691, Aug. 1997. (Pubitemid 127776478)
23. H. Pomares, I. Rojas, J. Gonzalez, M. Damas, B. Pino, and A. Prieto, "Online global learning in direct fuzzy controllers," IEEE Trans. Fuzzy Syst., vol. 12, no. 2, pp. 218-229, Apr. 2004.
24. P. Angelov, "A fuzzy controller with evolving structure," Inf. Sci., vol. 161, no. 1-2, pp. 21-35, 2004.
25. C. T. Lin, C. J. Lin, and C. S. G. Lee, "Fuzzy adaptive learning control network with on-line neural learning," Fuzzy Sets Syst., vol. 71, no. 1, pp. 25-45, 1995.
26. J. de Barros and A. Dexter, "Evolving fuzzy model-based adaptive control," in Proc. IEEE Int. Fuzzy Syst. Conf., 2007, pp. 1-5.
27. H. Pomares, I. Rojas, J.Gonzalez, F. Rojas,M.Damas, and F. J. Fernandez, "A two-stage approach to self-learning direct fuzzy controllers," Int. J. Approx. Reason., vol. 29, no. 3, pp. 267-289, 2002. (Pubitemid 34141134)
28. H. Pomares, I. Rojas, J. Gonzalez, and A. Prieto, "Structure identification in complete rule-based fuzzy systems," IEEE Trans. Fuzzy Syst., vol. 10, no. 3, pp. 349-359, Jun. 2002. (Pubitemid 34807724)
29. I. Rojas, H. Pomares, J. Ortega, and A. Prieto, "Self-organized fuzzy system generation from training examples," IEEE Trans. Fuzzy Syst., vol. 8, no. 1, pp. 23-36, Feb. 2000. (Pubitemid 30581539)
30. C. Lee, "Fuzzy logic in control systems: fuzzy logic controller. II," IEEE Trans. Syst., Man, Cybern., vol. 20, no. 2, pp. 419-435, Mar./Apr. 1990. (Pubitemid 20702823)
31. L.Wang and Y. Frayman, "A dynamically generated fuzzy neural network and its application to torsional vibration control of tandem cold rolling mill spindles," Eng. Appl. Artif. Intell., vol. 15, no. 6, pp. 541-550, 2002.
32. H. Pomares, I. Rojas, J. Ortega, J. Gonzalez, and A. Prieto, "A systematic approach to a self-generating fuzzy rule-table for function approximation," IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 30, no. 3, pp. 431-447, Jun. 2000.
33. H. Nounou andK. Passino, "Stable Auto-Tuning of adaptive Fuzzy/Neural controllers for nonlinear Discrete-Time systems," IEEE Trans. Fuzzy Syst., vol. 12, no. 1, pp. 70-83, Feb. 2004.
34. J. Spooner, R. Ordonez, and K. Passino, "Direct adaptive fuzzy control for a class of discrete-time systems," in Proc. Amer. Control Conf., Feb., 1997, vol. 3, pp. 1814-1818.
35. K. Ogata, Modern Control Engineering, 4th ed. ed. Englewood Cliffs, NJ: Prentice-Hall, 2001.
36. F. Chen and H. Khalil, "Adaptive control of a class of nonlinear discretetime systems using neural networks," IEEE Trans.Autom.Control, vol. 40, no. 5, pp. 791-801, May 1995.