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http://dx.doi.org/10.5370/JEET.2016.11.3.724

Sampled-Data Observer-Based Decentralized Fuzzy Control for Nonlinear Large-Scale Systems  

Koo, Geun Bum (Dept. of Electrical and Electronic Engineering, Yonsei University)
Park, Jin Bae (Dept. of Electrical and Electronic Engineering, Yonsei University)
Joo, Young Hoon (Dept. of Control and Robotics Engineering, Kunsan National University)
Publication Information
Journal of Electrical Engineering and Technology / v.11, no.3, 2016 , pp. 724-732 More about this Journal
Abstract
In this paper, a sampled-data observer-based decentralized fuzzy control technique is proposed for a class of nonlinear large-scale systems, which can be represented to a Takagi-Sugeno fuzzy system. The premise variable is assumed to be measurable for the design of the observer-based fuzzy controller, and the closed-loop system is obtained. Based on an exact discretized model of the closed-loop system, the stability condition is derived for the closed-loop system. Also, the stability condition is converted into the linear matrix inequality (LMI) format. Finally, an example is provided to verify the effectiveness of the proposed techniques.
Keywords
Sampled-data observer-based decentralized fuzzy control; Nonlinear large-scale systems; Takagi-Sugeno fuzzy system; Exact discretized model; Linear matrix inequality;
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Times Cited By KSCI : 8  (Citation Analysis)
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