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|Title:||Output-feedback based sliding mode control for fuzzy systems with actuator saturation|
|Citation:||IEEE Transactions on Fuzzy Systems, 2016; 24(6):1282-1293|
|Hongyi Li, Jiahui Wang, and Peng Shi|
|Abstract:||In this paper, a novel adaptive sliding mode controller is designed for Takagi-Sugeno (T-S) fuzzy systems with actuator saturation and system uncertainty. By the delta operator approach, the discrete-time nonlinear system is described by a T-S fuzzy model with unmeasurable state. By singular value decomposition of system input matrix, a reduced-order system is obtained for the design of sliding mode surface. A new adaptive sliding mode controller based on system output is presented to guarantee that the closed-loop system is uniformly ultimately bounded. Four examples are provided to illustrate the effectiveness and applicability of the proposed control scheme.|
|Keywords:||Actuator saturation; adaptive sliding mode control; delta operator approach; Takagi-Sugeno (T-S) fuzzy model|
|Rights:||© 2015 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications standards/publications/rights/index.html for more information.|
|Appears in Collections:||Electrical and Electronic Engineering publications|
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