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Decentralized fuzzy controller for nonlinear interconnected systems with missing measurements

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4 Author(s)
Geun Bum Koo ; Dept. of Electr. & Electron. Eng., Yonsei Univ., Seoul, South Korea ; Jin Bae Park ; Young Hoon Joo ; Se Jin Kim

This paper discusses the decentralized fuzzy control technique for the stochastic stability of nonlinear interconnected systems with missing measurements. We develop the fuzzy subsystem of the interconnected system by using the Takagi-Sugeno (T-S) fuzzy model and design the decentralized fuzzy controller for stochastic stability. To guarantee the sufficient condition of stability, we use Lyapunov stability theorem. Its constructive condition is expressed as the linear matrix inequality (LMI). An example is given to show the verification discussed throughout the paper.

Published in:

Fuzzy Systems, 2009. FUZZ-IEEE 2009. IEEE International Conference on

Date of Conference:

20-24 Aug. 2009