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请各位有EI检索权限的朋友帮忙检索一下，现在能否检索到这篇论文 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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已经可以检索到了 Check record to add to Selected Records Add to selected records Accession number: 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 |
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11楼2017-06-07 16:46:08
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石头阿呆3楼
2016-09-18 15:31
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llj2016(金币+1): 谢谢参与
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2016-09-18 15:51
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llj2016(金币+1): 谢谢参与
超级老快6楼
2016-09-18 16:03
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llj2016(金币+1): 谢谢参与
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