GA-based H2/H∞ static output feedback design with average performance concept and techniques of family of polynomials

Authors:
Hung-Yuan Chung;Sheng-Chung Chan
Affiliations:
Department of Electrical Engineering, National Central University, No. 300, Jhongda Road, Jhong-li 32001, Taiwan, ROC;Department of Electrical Engineering, National Central University, No. 300, Jhongda Road, Jhong-li 32001, Taiwan, ROC
Venue:
Expert Systems with Applications: An International Journal
Year:
2009

Citing 5
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Abstract

For continuous systems with polytopic uncertainties, the mixed H"2/H"~ robust output control problem is considered in this paper. The design objective is to seek a static output feedback controller that is able to stabilize the uncertain system and to minimize the mixed H"2/H"~ norm. To this end, a hybrid algorithm mixed by the technique of Hurwitz testing matrix of family of polynomial, average performance constraint and genetic algorithm (GA) is proposed. Due to the fact that the algorithm is based on GAs, we use a hierarchical structure to merge the conditions of Hurwitz testing matrix technique and average performance constraint into a fitness function which is called Hierarchical Fitness Function Structure (HFFS). By replacing fitness function with HFFS, any GAs can be applied to constitute the algorithm. Also, the proposed approach does not need any assumptions, so it is much more relaxed than that of Lyapunov-based design methods.