New results on sliding-mode control for Takagi-Sugeno fuzzy multiagent systems

Zhuo Zhang; Yang Shi; Zexu Zhang; Weisheng Yan

doi:10.1109/TCYB.2018.2804759

New results on sliding-mode control for Takagi-Sugeno fuzzy multiagent systems

Zhuo Zhang, Yang Shi, Zexu Zhang, Weisheng Yan

School of Marine Science and Technology

Research output: Contribution to journal › Article › peer-review

103 Scopus citations

Abstract

This paper investigates the sliding-mode control (SMC) problem of Takagi-Sugeno (T-S) fuzzy multiagent systems (MASs). A cooperative fuzzy-based dynamical sliding-mode (SM) controller is designed and the overall closed-loop T-S fuzzy MAS is constructed. A new model transformation method for T-S fuzzy MASs is presented to transform the fuzzy weighting matrix into a set of fuzzy weighting scalars. By applying the method of linear matrix inequality, a general stability analysis approach for T-S fuzzy MASs is proposed. Moreover, the energy-cost constraint problem is studied by using the linear quadratic regulator method. Finally, numerical examples are provided to illustrate the effectiveness of the proposed theoretical approaches and the improved performance compared to existing results.

Original language	English
Article number	8295172
Pages (from-to)	1592-1604
Number of pages	13
Journal	IEEE Transactions on Cybernetics
Volume	49
Issue number	5
DOIs	https://doi.org/10.1109/TCYB.2018.2804759
State	Published - May 2019

Keywords

Cooperative control
Model transformation
Sliding-mode control (SMC)
Takagi-Sugeno (T-S) fuzzy multiagent systems (MASs)

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10.1109/TCYB.2018.2804759

Cite this

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title = "New results on sliding-mode control for Takagi-Sugeno fuzzy multiagent systems",

abstract = "This paper investigates the sliding-mode control (SMC) problem of Takagi-Sugeno (T-S) fuzzy multiagent systems (MASs). A cooperative fuzzy-based dynamical sliding-mode (SM) controller is designed and the overall closed-loop T-S fuzzy MAS is constructed. A new model transformation method for T-S fuzzy MASs is presented to transform the fuzzy weighting matrix into a set of fuzzy weighting scalars. By applying the method of linear matrix inequality, a general stability analysis approach for T-S fuzzy MASs is proposed. Moreover, the energy-cost constraint problem is studied by using the linear quadratic regulator method. Finally, numerical examples are provided to illustrate the effectiveness of the proposed theoretical approaches and the improved performance compared to existing results.",

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author = "Zhuo Zhang and Yang Shi and Zexu Zhang and Weisheng Yan",

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AU - Shi, Yang

AU - Zhang, Zexu

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AB - This paper investigates the sliding-mode control (SMC) problem of Takagi-Sugeno (T-S) fuzzy multiagent systems (MASs). A cooperative fuzzy-based dynamical sliding-mode (SM) controller is designed and the overall closed-loop T-S fuzzy MAS is constructed. A new model transformation method for T-S fuzzy MASs is presented to transform the fuzzy weighting matrix into a set of fuzzy weighting scalars. By applying the method of linear matrix inequality, a general stability analysis approach for T-S fuzzy MASs is proposed. Moreover, the energy-cost constraint problem is studied by using the linear quadratic regulator method. Finally, numerical examples are provided to illustrate the effectiveness of the proposed theoretical approaches and the improved performance compared to existing results.

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KW - Model transformation

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New results on sliding-mode control for Takagi-Sugeno fuzzy multiagent systems

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