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Sensors, Networks, Control Systems and Information Processing




Vol. 20, Special Issue, April 2013, pp.53-63



Decentralized Robust Control for Nonlinear Interconnected Systems Based on T-S Fuzzy Bilinear Model


Zhang Guo and Zhao Yanhua

Electrical Engineering Department,
Luoyang Institute of Science and Technology,
471023, Luoyang P. R. China



Received: 21 January 2013   /Accepted: 17 April 2013   /Published: 30 April 2013

Digital Sensors and Sensor Sysstems


Abstract: This paper focuses on the decentralized robust control problem for a class of nonlinear interconnected systems which are composed by Takagi-Sugeno (T-S) fuzzy bilinear models with interconnections. Based on the Lyapunov stability analysis theory, some robust stabilization sufficient conditions are derived for the whole closed-loop fuzzy interconnected systems. The corresponding decentralized fuzzy controller design is converted into a convex optimization problem with linear matrix inequality (LMI) constraints. The simulation examples show the effectiveness of the proposed approach.


Keywords: Fuzzy control, Decentralized control, Robust stabilization, Fuzzy bilinear model, Linear matrix inequality (LMI)


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