TY - JOUR
T1 - New Results in Cooperative Adaptive Optimal Output Regulation
AU - Dong, Yuchen
AU - Gao, Weinan
AU - Jiang, Zhong Ping
N1 - Publisher Copyright:
© The Editorial Office of JSSC & Springer-Verlag GmbH Germany 2024.
PY - 2024/2
Y1 - 2024/2
N2 - This paper investigates the cooperative adaptive optimal output regulation problem of continuous-time linear multi-agent systems. As the multi-agent system dynamics are uncertain, solving regulator equations and the corresponding algebraic Riccati equations is challenging, especially for high-order systems. In this paper, a novel method is proposed to approximate the solution of regulator equations, i.e., gradient descent method. It is worth noting that this method obtains gradients through online data rather than model information. A data-driven distributed adaptive suboptimal controller is developed by adaptive dynamic programming, so that each follower can achieve asymptotic tracking and disturbance rejection. Finally, the effectiveness of the proposed control method is validated by simulations.
AB - This paper investigates the cooperative adaptive optimal output regulation problem of continuous-time linear multi-agent systems. As the multi-agent system dynamics are uncertain, solving regulator equations and the corresponding algebraic Riccati equations is challenging, especially for high-order systems. In this paper, a novel method is proposed to approximate the solution of regulator equations, i.e., gradient descent method. It is worth noting that this method obtains gradients through online data rather than model information. A data-driven distributed adaptive suboptimal controller is developed by adaptive dynamic programming, so that each follower can achieve asymptotic tracking and disturbance rejection. Finally, the effectiveness of the proposed control method is validated by simulations.
KW - Adaptive dynamic programming
KW - cooperative output regulation
KW - gradient descent method
KW - multi-agent systems
UR - http://www.scopus.com/inward/record.url?scp=85186126461&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85186126461&partnerID=8YFLogxK
U2 - 10.1007/s11424-024-3429-0
DO - 10.1007/s11424-024-3429-0
M3 - Article
AN - SCOPUS:85186126461
SN - 1009-6124
VL - 37
SP - 253
EP - 272
JO - Journal of Systems Science and Complexity
JF - Journal of Systems Science and Complexity
IS - 1
ER -