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- Title
Model‐free distributed optimal control for continuous‐time linear systems.
- Authors
Feng, Xinjun; Zhao, Zhiyun
- Abstract
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.
- Subjects
LINEAR control systems; STATE feedback (Feedback control systems); LINEAR systems; RICCATI equation; DYNAMIC programming; PSYCHOLOGICAL feedback
- Publication
IET Control Theory & Applications (Wiley-Blackwell), 2022, Vol 16, Issue 16, p1685
- ISSN
1751-8644
- Publication type
Article
- DOI
10.1049/cth2.12334