Design of mixed H-two/H-infinity optimal control systems using multiobjective differential evolution algorithm

• Published in: Journal of control theory and applications Vol. 11; no. 3; pp. 521 - 528
• Main Authors: Wu, Lianghong, Wang, Yaonan, Zhou, Shaowu, Yuan, Xiaofang
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.08.2013; Engineering Research Center of Advanced Mining Equipment, Ministry of Education,Hunan University of Science and Technology, Xiangtan Hunan 411201, China%College of Electric and Information Engineering, Hunan University, Changsha Hunan 410082, China
• Subjects: Algorithms; Complexity; Computational Intelligence; Control; Control and Systems Theory; Design engineering; Differential; Engineering; Evolution; H-infinity; H-infinity control; H-two; Mathematical models; Mechatronics; Multiobjective; Norms; Optimization; Parameter; Polytopic; Robotics; self-adaptive; Synthesis; Systems Theory; uncertainties; Parameter self-adaptive; Differential evolution; Mixed H-two/H-infinity control; Multiobjective optimization; Polytopic uncertainties

In this paper, the mixed H-two/H-infinity control synthesis problem is stated as a multiobjective opti-mization problem, with objectives of minimizing the H-two and H-infinity norms simultaneously. Instead of building a LMIs-based synthesis algorithm, a self-adaptive control parameter multiobjective...