Finite-Time Fuzzy Sliding Mode Control for Nonlinear Descriptor Systems

• 作者: Zhixiong Zhong Xingyi Wang Hak-Keung Lam
• 来源期刊: 自动化学报（英文版）
• 年，卷（期）: 2021,（6）
• 所属期刊栏目: PAPERS
• 页码范围: 1141-1152
• 页数: 12页
• 语种: 英文
• DOI: 10.1109/JAS.2021.1004024

摘要

This article addresses the finite-time boundedness (FTB) problem for nonlinear descriptor systems. Firstly, the nonlinear descriptor system is represented by the Takagi-Sugeno (T-S) model, where fuzzy representation is assumed to be appearing not only in both the state and input matrices but also in the derivative matrix. By using a descriptor redundancy approach, the fuzzy representation in the derivative matrix is reformulated into a linear one. Then, we introduce a fuzzy sliding mode control (FSMC) law, which ensures the finite-time boundedness (FTB) of closed-loop fuzzy control systems over the reaching phase and sliding motion phase. Moreover, by further employing the descriptor redundancy representation, the sufficient condition for designing FSMC law, which ensures the FTB of the closed-loop control systems over the entire finite-time interval, is derived in terms of linear matrix inequalities (LMIs). Finally, a simulation study with control of a photovoltaic (PV) nonlinear system is given to show the effectiveness of the proposed method.