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Robust Adaptive Sliding-Mode Control for Fuzzy Systems With Mismatched Uncertainties

Zhang, Jinhui and Shi, Peng and Xia, Yuanqing (2010) Robust Adaptive Sliding-Mode Control for Fuzzy Systems With Mismatched Uncertainties. IEEE Transactions on Fuzzy Systems, 18 (4). pp. 700-711. ISSN 1063-6706

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Abstract

This paper is devoted to design adaptive sliding-mode controllers for the Takagi–Sugeno (T–S) fuzzy system with mismatched uncertainties and exogenous disturbances.The uncertainties in state matrices are mismatched and norm-bounded, while the exogenous disturbances are assumed to be bounded with an unknown bound, which is estimated by a simple and effective adaptive approach. Both state- and static-output-feedback slidingmode- control problems are considered. In terms of linear-matrix inequalities (LMIs), both sliding surfaces and sliding-mode controllers can be easily obtained via a convex optimization technique. Finally, two simulation examples and a real experiment are utilized to illustrate the applicability and effectiveness of the design procedures proposed in this paper.

Item Type: Article
Uncontrolled Keywords: ResPubID19946, adaptive control, robust control, sliding-mode control (SMC), Takagi–Sugeno (T–S) fuzzy system
Subjects: Faculty/School/Research Centre/Department > Institute for Logistics and Supply Chain Management (ILSCM)
FOR Classification > 0802 Computation Theory and Mathematics
SEO Classification > 970108 Expanding Knowledge in the Information and Computing Sciences
Depositing User: VUIR
Date Deposited: 21 Dec 2011 04:33
Last Modified: 20 Jan 2015 04:25
URI: http://vuir.vu.edu.au/id/eprint/7449
DOI: 10.1109/TFUZZ.2010.2047506
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Citations in Scopus: 91 - View on Scopus

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