Volume 12 Number 2
April 2015
Article Contents
Chedia Latrach, Mourad Kchaou, Abdelhamid Rabhi and Ahmed El Hajjaji. Decentralized Networked Control System Design Using Takagi-Sugeno (TS) Fuzzy Approach. International Journal of Automation and Computing, vol. 12, no. 2, pp. 125-133, 2015. doi: 10.1007/s11633-015-0879-9
Cite as: Chedia Latrach, Mourad Kchaou, Abdelhamid Rabhi and Ahmed El Hajjaji. Decentralized Networked Control System Design Using Takagi-Sugeno (TS) Fuzzy Approach. International Journal of Automation and Computing, vol. 12, no. 2, pp. 125-133, 2015. doi: 10.1007/s11633-015-0879-9

Decentralized Networked Control System Design Using Takagi-Sugeno (TS) Fuzzy Approach

  • Received: 2014-03-25
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

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Decentralized Networked Control System Design Using Takagi-Sugeno (TS) Fuzzy Approach

Abstract: This paper proposes a new method for control of continuous large-scale systems where the measures and control functions are distributed on calculating members which can be shared with other applications and connected to digital network communications. At first, the nonlinear large-scale system is described by a Takagi-Sugeno (TS) fuzzy model. After that, by using a fuzzy Lyapunov-Krasovskii functional, sufficient conditions of asymptotic stability of the behavior of the decentralized networked control system (DNCS), are developed in terms of linear matrix inequalities (LMIs). Finally, to illustrate the proposed approach, a numerical example and simulation results are presented.

Chedia Latrach, Mourad Kchaou, Abdelhamid Rabhi and Ahmed El Hajjaji. Decentralized Networked Control System Design Using Takagi-Sugeno (TS) Fuzzy Approach. International Journal of Automation and Computing, vol. 12, no. 2, pp. 125-133, 2015. doi: 10.1007/s11633-015-0879-9
Citation: Chedia Latrach, Mourad Kchaou, Abdelhamid Rabhi and Ahmed El Hajjaji. Decentralized Networked Control System Design Using Takagi-Sugeno (TS) Fuzzy Approach. International Journal of Automation and Computing, vol. 12, no. 2, pp. 125-133, 2015. doi: 10.1007/s11633-015-0879-9
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