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. https://doi.org/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. https://doi.org/10.1007/s11633-015-0879-9

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

doi: 10.1007/s11633-015-0879-9
  • Received Date: 2014-03-25
  • Rev Recd Date: 2014-09-25
  • Publish Date: 2015-04-01
  • 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.

     

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