Decentralized control for linear systems with multiple input channels
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  • 英文篇名:Decentralized control for linear systems with multiple input channels
  • 作者:Juanjuan ; XU ; Liang ; XU ; Lihua ; XIE ; Huanshui ; ZHANG
  • 英文作者:Juanjuan XU;Liang XU;Lihua XIE;Huanshui ZHANG;School of Control Science and Engineering, Shandong University;School of Electrical and Electronic Engineering, Nanyang Technological University;
  • 英文关键词:decentralized control;;reduced order observer;;multiple channels;;algebraic Riccati equation
  • 中文刊名:JFXG
  • 英文刊名:中国科学:信息科学(英文版)
  • 机构:School of Control Science and Engineering, Shandong University;School of Electrical and Electronic Engineering, Nanyang Technological University;
  • 出版日期:2019-04-09 09:01
  • 出版单位:Science China(Information Sciences)
  • 年:2019
  • 期:v.62
  • 基金:supported by National Natural Science Foundation of China (Grant Nos. 61403235, 61573221, 61633014, 61873332);; Qilu Youth Scholar Discipline Construction Funding from Shandong University
  • 语种:英文;
  • 页:JFXG201905024
  • 页数:10
  • CN:05
  • ISSN:11-5847/TP
  • 分类号:169-178
摘要
In this paper, we consider the decentralized optimal control problem for linear discrete-time systems with multiple input channels. First, under centralized control, the optimal feedback gains are given in terms of two algebraic Riccati equations. A reduced order observer is then designed using only the local input and output information. By selecting an appropriate initial value for the observer, we derive an observer-based decentralized optimal controller where the feedback gain is the same as that obtained in the centralized optimal control problem. Last but not least, we study the optimal control problem of non-homogeneous multi-agent systems as an application. A suboptimal decentralized controller is obtained and the difference between the suboptimal cost and the optimal one is given.
        In this paper, we consider the decentralized optimal control problem for linear discrete-time systems with multiple input channels. First, under centralized control, the optimal feedback gains are given in terms of two algebraic Riccati equations. A reduced order observer is then designed using only the local input and output information. By selecting an appropriate initial value for the observer, we derive an observer-based decentralized optimal controller where the feedback gain is the same as that obtained in the centralized optimal control problem. Last but not least, we study the optimal control problem of non-homogeneous multi-agent systems as an application. A suboptimal decentralized controller is obtained and the difference between the suboptimal cost and the optimal one is given.
引文
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