Robust adaptive fuzzy tracking control for a class of strict-feedback nonlinear systems based on backstepping technique

Journal of Control Theory and Applications

Volumn 5, Issue 3, 2007, Pages 317-322

  Wang, Min ^a   Wang, Xiuying ^b   Chen, Bing ^a   Tong, Shaocheng ^c  

^a QINGDAO UNIVERSITY   (China)

^b QINGDAO UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^c LIAONING UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Backstepping technique; Fuzzy control; Nonlinear systems; Robust adaptive control

Indexed keywords

EID: 34548337082     PISSN: 16726340     EISSN: 10008152     Source Type: Journal    
DOI: 10.1007/s11768-005-5298-y     Document Type: Article

References (9)

1. S. S. Sastry, A. Isidori. Adaptive control linearizable systems[J]. IEEE Transactions on Automatic Control, 1989, 34(11): 1123-1131.
2. M. M. Polycarpou, P. A. Ioannou. A robust adaptive nonlinear control design[J]. Automatica, 1996, 32(3): 423-427.
3. S. Tong, H. Li. Direct adaptive fuzzy output tracking control of nonlinear systems[J]. Fuzzy Sets and Systems, 2002, 128(1): 107-115.
4. J. H. Park, S. J. Seo, G. T. Park. Robust adaptive fuzzy controller for nonlinear system using estimation of bounds for approximation errors[J]. Fuzzy Sets and Systems, 2003, 133(1): 19-36.
5. ∞ tracking performance[J]. IEEE Transactions on Systems, Man and Cybernetics, Part B, 2000, 30(6): 878-885.
6. J. Yu, T. Zhang, H. Gu. Robust adptive fuzzy control for a class of perturbed pure-feedback nonlinear systems[J]. Journal of Control Theory and Applications, 2004, 2(2): 175-178.
7. Y. Yang, G. Feng, J. Ren. A combined backstepping and smallgain approach to robust adaptive fuzzy control for strict-feedback nonlinear systems[J]. IEEE Transactions on Systems, Man & Cybernetics, Part A, 2004, 34(3): 406-420.
8. Y. Yang, C. Zhou. Robust adaptive fuzzy tracking control for a class of perturbed strict-feedback nonlinear systems via small-gain approach[J]. Information Sciences, 2005, 170(2-4): 211-234.
9. H. Lee, M. Tomizuka. Robust adaptive control using a universal approximator for SISO nonlinear systems[J]. IEEE Transactions on Fuzzy Systems, 2000, 8(1): 95-106.