CLUSTER ANALYSIS AND SWITCHING CONTROL:A POST-PROCESSING OF MULTI-OBJECTIVE OPTIMAL DESIGNS

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• 英文论文题名：CLUSTER ANALYSIS AND SWITCHING CONTROL:A POST-PROCESSING OF MULTI-OBJECTIVE OPTIMAL DESIGNS
• 论文作者：QIN Zhi-chang ; SUN Jian-qiao
• 英文论文作者：QIN Zhi-chang ; SUN Jian-qiao ; Department of Mechanics ; Tianjin University ; School of Engineering ; University of California
• 年：2016
• 作者机构：Department of Mechanics, Tianjin University;School of Engineering, University of California;
• 英文论文关键词：Multi-objective optimal control design ; Cluster analysis ; Pareto optimal ; Switching algorithm
• 会议召开时间：2016-05-06
• 会议录名称：第十届动力学与控制学术会议摘要集
• 语种：英文
• 分类号：O232
• 学会代码：AGLU
• 会议名称：第十届动力学与控制学术会议
• 会议地点：中国四川成都
• 主办单位：中国力学学会动力学与控制专业委员会
• 学会名称：中国力学学会
• 页数：1
• 文件大小：739k
• 原文格式：D
• 会议级别：全国

摘要

The multi-objective optimal control design usually generates hundreds or thousands of Pareto optimal solutions. How to assist a user to select an appropriate controller to implement is a post-processing issue. In this paper, we develop a method of cluster analysis of the Pareto optimal designs to discover the similarity of the optimal controllers. After we identify the clusters of optimal controllers, we then develop a switching strategy to select controls from different clusters to improve the performance. Numerical and experimental results show that the switching control algorithm is quite promising.
The multi-objective optimal control design usually generates hundreds or thousands of Pareto optimal solutions. How to assist a user to select an appropriate controller to implement is a post-processing issue. In this paper, we develop a method of cluster analysis of the Pareto optimal designs to discover the similarity of the optimal controllers. After we identify the clusters of optimal controllers, we then develop a switching strategy to select controls from different clusters to improve the performance. Numerical and experimental results show that the switching control algorithm is quite promising.

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