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TECHNICAL PAPERS

Reliable Robust H Fuzzy Control for Uncertain Nonlinear Systems With Markovian Jumping Actuator Faults

[+] Author and Article Information
Huai-Ning Wu

School of Automation Science and Electrical Engineering, Beihang University (Beijing University of Aeronautics and Astronautics), Beijing 100083, P.R.C.whn@buaa.edu.cn

J. Dyn. Sys., Meas., Control 129(3), 252-261 (Oct 09, 2006) (10 pages) doi:10.1115/1.2718236 History: Received December 29, 2005; Revised October 09, 2006

This paper is concerned with the design of reliable robust H fuzzy control for uncertain nonlinear continuous-time systems with Markovian jumping actuator faults. The Takagi and Sugeno fuzzy model is employed to represent an uncertain nonlinear system with Markovian jumping actuator faults. First, based on the parallel distributed compensation (PDC) scheme, a sufficient condition such that the closed-loop fuzzy system is robustly stochastically stable and satisfies a prescribed level of H-disturbance attenuation is derived. In the derivation process, a stochastic Lyapunov function is used to test the stability and H performance of the system. Then, a new improved linear matrix inequality (LMI) formulation is applied to this condition to alleviate the interrelation between the stochastic Lyapunov matrix and system matrices containing controller variables, which results in a tractable LMI-based condition for the existence of reliable and robust H fuzzy controllers. A suboptimal fuzzy controller is proposed to minimize the level of disturbance attenuation subject to the LMI constraints. Finally, a simulation example is given to illustrate the effectiveness of the proposed method.

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Copyright © 2007 by American Society of Mechanical Engineers
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Figures

Grahic Jump Location
Figure 1

Mass-spring-damper system

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Figure 2

Level of disturbance attenuation γ versus μ

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Figure 3

Actuator mode and control results of example

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Figure 4

Squared root of ratio of output energy to disturbance energy

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