TY - GEN
T1 - Distributed Optimal Consensus Control for Heterogeneous Multi-agent System with Disturbance
AU - Chai, Yiyuan
AU - Qin, Sitian
AU - Feng, Jiqiang
AU - Xu, Chen
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
PY - 2024
Y1 - 2024
N2 - This paper develops a distributed control protocol for the distributed optimal consensus problem of multi-agent systems. The dynamics of multi-agent systems are heterogeneous linear. Considering that multi-agent systems often face various external disturbances in practical applications, which may seriously affect the performance and stability of the system. The control protocol proposed in this paper pays special attention to dealing with external disturbances in linear dynamic systems. Theoretical results show that the distributed control protocol is robust under the external disruption and drives the states of each agent to the auxiliary variable in a finite time. Further, with the aid of Lyapunov method, the states of close-loop system globally converge to the optimal solution of the non-smooth optimization problem. Finally, the simulation results demonstrate the effectiveness of proposed control protocol.
AB - This paper develops a distributed control protocol for the distributed optimal consensus problem of multi-agent systems. The dynamics of multi-agent systems are heterogeneous linear. Considering that multi-agent systems often face various external disturbances in practical applications, which may seriously affect the performance and stability of the system. The control protocol proposed in this paper pays special attention to dealing with external disturbances in linear dynamic systems. Theoretical results show that the distributed control protocol is robust under the external disruption and drives the states of each agent to the auxiliary variable in a finite time. Further, with the aid of Lyapunov method, the states of close-loop system globally converge to the optimal solution of the non-smooth optimization problem. Finally, the simulation results demonstrate the effectiveness of proposed control protocol.
KW - Distributed optimization problem
KW - External disturbances
KW - Finite-time convergence
KW - Heterogeneous multi-agent systems
UR - https://www.scopus.com/pages/publications/85200395556
U2 - 10.1007/978-981-97-4399-5_43
DO - 10.1007/978-981-97-4399-5_43
M3 - 会议稿件
AN - SCOPUS:85200395556
SN - 9789819743988
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 453
EP - 461
BT - Advances in Neural Networks – ISNN 2024 - 18th International Symposium on Neural Networks, 2024, Proceedings
A2 - Le, Xinyi
A2 - Zhang, Zhijun
PB - Springer Science and Business Media Deutschland GmbH
T2 - 18th International Symposium on Neural Networks, ISNN 2024
Y2 - 11 July 2024 through 14 July 2024
ER -