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《Journal of Beijing University of Aeronautics and Astronautics》 2008-06
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Fuzzy control design of uncertain nonlinear active fault tolerant control systems

Bai Mingzhen Wu Huaining(School of Automation Science and Electrical Engineering,Beijing University of Aeronautics and Astronautics,Beijing 100191,China)  
By considering the random nature of the failure events and the FDI(failure detection and isolation)decisions in real FTC(fault tolerant control)systems,two Markov processes were introduced to describe the random failures and the FDI decision behavior separately.The Takagi and Sugeno fuzzy model was employed to represent a nonlinear active FTC system with norm-bounded uncertainties.Based on the parallel distributed compensation scheme,a method for the design of a fuzzy control law such that the closed-loop fuzzy system is robustly stochastically stable,was proposed.The sufficient condition for the existence of a robust and fault tolerant control law was given in terms of linear matrix inequalities,which can be solved efficiently by using the existing LMI(linear matrix inequality)optimization techniques.The latter truck-trailer simulation results show the effectiveness of the proposed method.
【Fund】: 北京市自然科学基金资助项目(4062021);; 国家自然科学基金资助项目(60674058);; 新世纪优秀人才支持计划资助项目
【CateGory Index】: TP273.4
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