4.7 Article

Observer-Based Adaptive Sliding Mode Control for T-S Fuzzy Singular Systems

Journal

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
Volume 50, Issue 11, Pages 4438-4446

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSMC.2018.2852957

Keywords

Adaptive control; singular systems; sliding mode control (SMC)

Funding

  1. National Natural Science Foundation of China [61673099]

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This paper investigates the problem of adaptive H-infinity sliding mode control (SMC) for a class of nonlinear systems via Takagi-Sugeno (T-S) fuzzy model approach. The input matrices and output matrices in all local linear systems are different. A novel observer is designed to estimate the unmeasured states. Based on such an observer, the control input is only appeared in the T-S fuzzy singular system and error system. A new integral sliding surface is put forward to match the characteristic of T-S fuzzy singular system with different input and output matrices. Based on the new integral sliding surface, a new adaptive SMC scheme is designed to guarantee the admissibility of the T-S fuzzy singular system with H-infinity performance and the reachability of the T-S fuzzy integral sliding surface. A simulation result is presented to illustrate the effectiveness and feasibility of the developed observer-based SMC design method.

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