Robust fuzzy control of mechanical systems

IEEE Transactions on Fuzzy Systems

Volumn 11, Issue 3, 2003, Pages 411-418

  Tang, Yu ^a,b   Vélez Díaz, Daniel ^a  

^a UNIVERSIDAD NACIONAL AUTÓNOMA DE MÉXICO   (Mexico)

^b INSTITUTO MEXICANO DEL PETRÓLEO   (Mexico)

Author keywords

Frictions; Fuzzy control; Lyapunov stability; Mechanical systems

Indexed keywords

FUZZY SETS; LYAPUNOV METHODS; MATRIX ALGEBRA; ROBUSTNESS (CONTROL SYSTEMS); UNCERTAIN SYSTEMS;

MECHANICAL SYSTEMS;

FUZZY CONTROL;

EID: 0038539510     PISSN: 10636706     EISSN: None     Source Type: Journal    
DOI: 10.1109/TFUZZ.2003.812700     Document Type: Article

References (22)

1. J. Amin, B. Friedland, and A. Harnoy, "Implementation of a friction estimation and compensation technique," IEEE Contr. Syst. Mag., vol. 17, pp. 71-76, 1997.
2. B. Armstrong-Helouvry, P. Dupont, and C. C. de Wit, "A survey of models, analysis tools and compensation methods for control of machines with friction," Automatica, vol. 30, no. 7, pp. 1083-1138, 1994.
3. C. C. de Wit, H. Olsson, K. J. Astrom, and P. Lischinsky, "A new model for control of systems with friction," IEEE Trans. Automat. Contr., vol. 40, pp. 419-425, Mar. 1995.
4. M. Corless and G. Leitmann, "Continuous state feedback guaranteeing uniform ultimate boundedness for uncertain dynamic systems," IEEE Trans. Automat. Contr., vol. AC-26, pp. 1139-1144, 1981.
5. C. A. Desoer and M. Vidyasagar, Feedback Systems: Input-Output Properties. New York: Academic, 1975.
6. C. Ham, Z. Qu, and R. Johnson, "Robust fuzzy control for robot manipulators," IEE Proc. Control Theory Appl., vol. 147, no. 2, pp. 212-216, 2000.
7. H. Lee and M. Tomizuka, "Robust adaptive control using a universal approximator for SISO nonlinear systems," IEEE Trans. Fuzzy Syst., vol. 8, pp. 95-106, Feb. 2000.
8. F. L. Lewis, A. Yesildirek, and K. Liu, "Multilayer neural-net robot controller with guaranteed tracking performance," IEEE Trans. Neural Networks, vol. 7, pp. 388-399, Apr. 1996.
9. K. S. Narendra and A. M. Annaswamy, Stable Adaptive Systems. Upper Saddle River, NJ: Prentice-Hall, 1989.
10. K. S. Narendra and K. Parthasarathy, "Identification and control of dynamical systems using neural networks," IEEE Trans. Neural Networks, vol. 1, pp. 4-27, Feb. 1990.
11. H. Olsson, K. J. Astrom, C. Canudas, M. Gafvert, and P. Lischinsky, "Friction models and friction compensation," Euro. J. Control, vol. 4, no. 3, 1998.
12. E. Panteley, R. Ortega, and M. Gafvert, "An adaptive friction compensator for global tracking in robot manipulators," Syst. Control Lett., vol. 33, pp. 307-313, 1998.
13. M. M. Polycarpou, "Stable adaptive neural control scheme for nonlinear systems," IEEE Trans. Automat. Contr., vol. 41, pp. 447-451, Mar. 1996.
14. A. Poznyak, W. Yu, E. N. Sanchez, and J. P. Perez, "Nonlinear adaptive trajectory tracking using dynamical neural networks," IEEE Trans. Neural Networks, vol. 10, pp. 1402-1411, Dec. 1999.
15. R. M. Sanner and J. J. Slotine, "Gaussian networks for direct adaptive control," IEEE Trans. Neural Networks, vol. 3, pp. 837-863, Dec. 1992.
16. S. Seshagiri and H. K. Khalil, "Output feedback control of nonlinear systems using RBF neural networks," IEEE Trans. Neural Networks, vol. 11, pp. 69-79, Feb. 2000.
17. J. T. Spooner and K. M. Passino, "Stable adaptive control using fuzzy systems and neural networks," IEEE Trans. Fuzzy Syst., vol. 4, pp. 339-359, June 1996.
18. C. Su and Y. Stepanenko, "Adaptive control of a class of nonlinear systems with fuzzy logic," IEEE Trans. Fuzzy Syst., vol. 2, pp. 285-294, Aug. 1994.
19. T. Takagi and M. Sugeno, "Fuzzy identification of systems and its application to modeling and control," IEEE Trans. Syst., Man, Cybern., vol. SMC-15, pp. 116-132, Jan. 1985.
20. Y. Tang and M. Tomizuka, "Decentralized robust control for a class of nonlinear systems," presented at the 1997 Amer. Control Conf., Albuquerque, NM, 1997.
21. L. Wang, "Stable adaptive fuzzy control of nonlinear systems," IEEE Trans. Fuzzy Syst., vol. 1, pp. 146-155, May 1993.
22. _, Adaptive Fuzzy Systems and Control, Design and Stability Analysis. Upper Saddle River, NJ: Prentice-Hall, 1994.