4.6 Article

Robust Stabilization of T-S Fuzzy Stochastic Descriptor Systems via Integral Sliding Modes

Journal

IEEE TRANSACTIONS ON CYBERNETICS
Volume 48, Issue 9, Pages 2736-2749

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCYB.2017.2749244

Keywords

Integral sliding mode control; inverted pendulum; nonparallel distributed compensation (Non-PDC); robust stabilization; Takagi-Sugeno (T-S) fuzzy stochastic descriptor systems

Funding

  1. National Natural Science Foundation of China [61273008, 61673099]

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This paper addresses the robust stabilization problem for T-S fuzzy stochastic descriptor systems using an integral sliding mode control paradigm. A classical integral sliding mode control scheme and a nonparallel distributed compensation (Non-PDC) integral sliding mode control scheme are presented. It is shown that two restrictive assumptions previously adopted developing sliding mode controllers for Takagi-Sugeno (T-S) fuzzy stochastic systems are not required with the proposed framework. A unified framework for sliding mode control of T-S fuzzy systems is formulated. The proposed Non-PDC integral sliding mode control scheme encompasses existing schemes when the previously imposed assumptions hold. Stability of the sliding motion is analyzed and the sliding mode controller is parameterized in terms of the solutions of a set of linear matrix inequalities which facilitates design. The methodology is applied to an inverted pendulum model to validate the effectiveness of the results presented.

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