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《ELECTRIC MACHINES AND CONTROL》 1999-04
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Survey of robust control based on evolutionary algorithm

YANG Zhi-min, ZHENG Yan-hai, ZHUANG Xian-yi (Harbin Institute of Technology, Harbin 150001, China)  
Evolutionary algorithms are parameter search procedures based on nature genetic mechanism. In this paper, a survey of robust control based on the evolutionary algorithm in recent years is presented. Firstly, evolutionary algorithm and its improvements are introduced briefly. Both merits and drawbacks of genetic algorithm and traditional optimizing methods are discussed. Then how to apply evolutionary algorithm to various robust design methods is discussed. A range of applications in robust control system design, simultaneous stabilization, H∞ sub-optimal controller design, H∞ weight function selection, eigen-structure placement, μ synthesis and quantitative feedback control theory are reviewed. Finally, further research field is presented.
【CateGory Index】: TP273
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