Indirect adaptive fuzzy backstepping control for nonlinear systems

Proceedings of the 2006 International Conference on Machine Learning and Cybernetics

Volumn 2006, Issue , 2006, Pages 468-473

  Tong, Shao Cheng ^a  

^a LIAONING UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Fuzzy adaptive backstepping control; Nonlinear systems; Stability and analysis

Indexed keywords

CLOSED LOOP SYSTEMS; COMPUTER SIMULATION; FUZZY CONTROL; NONLINEAR CONTROL SYSTEMS; PARAMETER ESTIMATION; PROBLEM SOLVING;

CONTROL PERFORMANCES; DESIGN PARAMETERS; FUZZY ADAPTIVE BACKSTEPPING CONTROL; SINGULARITY PROBLEMS;

ADAPTIVE CONTROL SYSTEMS;

EID: 33947240939     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLC.2006.259116     Document Type: Conference Paper

References (8)

1. L. X. Wang, Stable adaptive fuzzy control of nonlinear systems. IEEE Transaction on Fuzzy Systems, Vol. 2, No.1, pp. 146-155, 1993.
2. L. X. Wang, Adaptive fuzzy systems and control: Design and stability analysis. Englewood Cliffs, NJ: Prentice-Hall, 1994.
3. ∞ tracking design of uncertain nonlinear SISO systems: adaptive fuzzy approach, IEEE Transactions on Fuzzy Systems, Vol. 2,No.4, pp. 32-43, 1996.
4. J. T. Spooner and K.M. Passino, Stable adaptive control of a class of nonlinear systems and neural network. IEEE Transactions on Fuzzy Systems, Vol.4, No. 4, pp. 339-359, 1996.
5. M.Kristic, I. Kanellakopoulos, and P.V. Kokotovic, Nonlinear and adaptive control design. New York: Wiley, 1995.
6. Robust and adaptive backstepping control for nonlinear systems using RBF neural networks, IEEE Transactions on Neural Networks, Vol.15, No.3, pp. 693-701, 2004.
7. Y. S. Yang, G. Feng, and J. S. Ren. A combined backstepping and small-gain approach to robust adaptive fuzzy control for strict-feedback nonlinear systems. IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans, Vol. 3,No.34, pp. 406-420, 2004.
8. B. Chen, X. P Liu and S.C Tong, Fuzzy output tracking control of MIMO nonlinear uncertain systems by backstepping approach. IEEE Transaction on Fuzzy Systems, 2006(to be appeared).