Journal
IEEE TRANSACTIONS ON FUZZY SYSTEMS
Volume 23, Issue 1, Pages 193-204Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TFUZZ.2014.2310491
Keywords
Adaptive control; backstepping; fuzzy dead zone; strict-feedback nonlinear systems
Funding
- National Natural Science Foundation of China [60974047, U1134004]
- Natural Science Foundation of Guangdong Province [S2012010008967]
- Science Fund for Distinguished Young Scholars [S20120011437]
- Zhujiang New Star
- Ministry of Education of New Century Excellent Talent [NCET-12-0637]
- 973 Program of China [2011CB013104]
- Ministry of Education of China [20124420130001]
- University of Macau Multiyear Research Grants
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This paper focuses on a problem of adaptive control for a class of nonlinear strict-feedback systems with a fuzzy dead zone and immeasurable states. By using the adaptive back-stepping technique, an adaptive fuzzy output-feedback controller is constructed. The proposed control method requires only one adaptive law for an nth-order system. Compared with the conventional deterministic dead-zone models in previous articles, the main advantage of this paper is that the proposed dead-zone-model is uncertain and fuzzy. By defuzzifying for fuzzy dead zone (Gamma) over tilde (u) and employing an integrated design, an integrated fuzzy controller is constructed. It is proved that, even though the dead-zone input (Gamma) over tilde G(u) is fuzzy, the integrated fuzzy controller can make the closed-loop system semiglobally uniformly ultimately bounded and the tracking error converge to a small neighborhood of the origin. Finally, simulation results are provided to show the effectiveness of the proposed approach.
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