Data-driven control for discrete-time piecewise affine systems✩

被引:10
|
作者
Wang, Meng [1 ]
Qiu, Jianbin [2 ]
Yan, Huaicheng [1 ,4 ]
Tian, Yongxiao [3 ]
Li, Zhichen [1 ]
机构
[1] East China Univ Sci & Technol, Minist Educ, Key Lab Smart Mfg Energy Chem Proc, Shanghai 200237, Peoples R China
[2] Harbin Inst Technol, Res Inst Intelligent Control & Syst, Harbin 150080, Peoples R China
[3] Shanghai Univ, Sch Artificial Intelligence, Shanghai 200444, Peoples R China
[4] Chengdu Univ, Sch Informat Sci & Engn, Chengdu 610106, Peoples R China
基金
中国国家自然科学基金;
关键词
Piecewise affine systems; Data-driven control; Control design; Convex optimization; SYSTEMS; FEEDBACK;
D O I
10.1016/j.automatica.2023.111168
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper studies the problem of data-driven control for discrete-time piecewise affine (PWA) systems. Based on a sequel of sampled control inputs and states with satisfactory rank conditions, the closed loop dynamics of PWA systems can be represented and therefore the explicit information of system matrices is not needed in system stability analysis and controller synthesis processes. First, via S procedure, system stability analysis results have been obtained, and then, two novel data-driven controller design methods in the form of linear matrix inequalities and equations have been proposed such that the resulting closed loop system is asymptotically stable. For PWA systems with unknown state space partition information, an online data-driven control method has been further proposed to guarantee the asymptotic stability of the resulting closed loop systems. Finally, simulation studies of two examples have been given to validate the effectiveness of the proposed data-driven controller design approaches.& COPY; 2023 Elsevier Ltd. All rights reserved.
引用
收藏
页数:10
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