文献类型：期刊文献

英文题名：Model-free distributed optimal control for continuous-time linear systems

作者：Feng, Xinjun[1];Zhao, Zhiyun[1]

机构：[1]East China Univ Sci & Technol, Dept Automat, Shanghai, Peoples R China

年份：2022

卷号：16

期号：16

起止页码：1685

外文期刊名：IET CONTROL THEORY AND APPLICATIONS

收录：;EI(收录号：20223612679541);WOS:【SCI-EXPANDED(收录号:WOS:000842319800001)】；

基金：National Natural Science Foundation of China, Grant/Award Number: 61703162; Natural Science Foundation of Shanghai, Grant/Award Number: 19ZR1413500; Shanghai Sailing Program, Grant/Award Number: 17YF1403400

语种：英文

外文关键词：Adaptive control systems - Continuous time systems - Control theory - Dynamic programming - Feedback control - Riccati equations - State feedback

摘要：This paper studies the distributed optimal consensus problem for a group of continuous-time linear systems in the scenario that the dynamics of linear systems are completely unknown. Both an optimal state feedback control law and an optimal output feedback control law are constructed by solving the Algebraic Riccati Equation (ARE) that contains no global information, which guarantees the consensus of linear systems and the global optimality. Adaptive Dynamic Programming (ADP) method is presented to solve the ARE, thus the control algorithms are not relying on the dynamics of linear systems any more. Finally, numerical simulation results are presented to demonstrate the efficiency of proposed approach.