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标题： Mean square stabilization for stochastic switched fuzzy systems
作者：Hong Yang ; Liangjie Li ; Mian Zhang ; Yanni Shi ; Zhile Wei ; Yingsong Jiang
摘要：Abstract:
In this paper, a mean square stabilization criterion for stochastic switched fuzzy (SSF) systems is proposed. SSF system, which differs from existing ones, can often incorporate discrete states, continuous dynamics and randomness as well as their interactions in complex real-world systems. In the beginning, switching parallel distributed compensation controller is introduced. The multiple Lyapunov function methods are adopted to establish the stability results. Moreover, sufficient conditions for mean square stability are presented and stabilizing switching laws of the state-dependent form are designed. Simultaneously, switching techniques are used to derive the criteria, some subsystems are allowed to be unstable. Finally, the elaborated illustrative example demonstrates the effectiveness of the proposed method.
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20163602765835
Title: Mean square stabilization for stochastic switched fuzzy systems
Authors: Yang, Hong1 Email author cherryyh@126.com; Li, Liangjie1; Zhang, Mian1; Shi, Yanni1; Wei, Zhile1; Jiang, Yingsong1
Author affiliation: 1 School of Information Engineering, Shenyang University, Shenyang; 110044, China
Source title: Proceedings of the 28th Chinese Control and Decision Conference, CCDC 2016
Abbreviated source title: Proc. Chin. Control Decis. Conf., CCDC
Monograph title: Proceedings of the 28th Chinese Control and Decision Conference, CCDC 2016
Issue date: August 3, 2016
Publication year: 2016
Pages: 2214-2218
Article number: 7531353
Language: English
ISBN-13: 9781467397148
Document type: Conference article (CA)
Conference name: 28th Chinese Control and Decision Conference, CCDC 2016
Conference date: May 28, 2016 - May 30, 2016
Conference location: Yinchuan, China
Conference code: 123193
Publisher: Institute of Electrical and Electronics Engineers Inc.
Abstract: In this paper, a mean square stabilization criterion for stochastic switched fuzzy (SSF) systems is proposed. SSF system, which differs from existing ones, can often incorporate discrete states, continuous dynamics and randomness as well as their interactions in complex real-world systems. In the beginning, switching parallel distributed compensation controller is introduced. The multiple Lyapunov function methods are adopted to establish the stability results. Moreover, sufficient conditions for mean square stability are presented and stabilizing switching laws of the state-dependent form are designed. Simultaneously, switching techniques are used to derive the criteria, some subsystems are allowed to be unstable. Finally, the elaborated illustrative example demonstrates the effectiveness of the proposed method. © 2016 IEEE.
Number of references: 32
DOI: 10.1109/CCDC.2016.7531353
Database: Compendex
Compilation and indexing terms, © 2016 Elsevier Inc，