TY - GEN
T1 - Cooperative and adaptive optimal output regulation of discrete-time multi-agent systems using reinforcement learning
AU - Gao, Weinan
AU - Liu, Yiyang
AU - Odekunle, Adedapo
AU - Jiang, Zhong Ping
AU - Yu, Yunjun
AU - Lu, Pingli
N1 - Funding Information:
This work has been partly supported by a faculty research seed grant in the College of Engineering and Information Technology, Georgia Southern University and the U.S. National Science Foundation grant ECCS-1501044.
Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - This paper proposes an original data-driven intelligent control solution to the cooperative output regulation problem of discrete-time multi-agent systems. Based on the combination of internal model principle and reinforcement learning, a distributed suboptimal controller is learned realtime via online input-state data collected from system trajectories. Rigorous theoretical analysis guarantees the convergence of the proposed algorithm and the asymptotic stability of the closed-loop system. Numerical results validate the effectiveness of the proposed control methodology.
AB - This paper proposes an original data-driven intelligent control solution to the cooperative output regulation problem of discrete-time multi-agent systems. Based on the combination of internal model principle and reinforcement learning, a distributed suboptimal controller is learned realtime via online input-state data collected from system trajectories. Rigorous theoretical analysis guarantees the convergence of the proposed algorithm and the asymptotic stability of the closed-loop system. Numerical results validate the effectiveness of the proposed control methodology.
UR - http://www.scopus.com/inward/record.url?scp=85062499600&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85062499600&partnerID=8YFLogxK
U2 - 10.1109/RCAR.2018.8621852
DO - 10.1109/RCAR.2018.8621852
M3 - Conference contribution
AN - SCOPUS:85062499600
T3 - 2018 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2018
SP - 348
EP - 353
BT - 2018 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2018
Y2 - 1 August 2018 through 5 August 2018
ER -