TY - GEN
T1 - Optimal consensus of multi-agent systems with general unstable discrete-time linear dynamics
AU - Li, Huiping
AU - Yan, Weisheng
AU - Shi, Yang
N1 - Publisher Copyright:
© 2016 American Automatic Control Council (AACC).
PY - 2016/7/28
Y1 - 2016/7/28
N2 - This paper is concerned with the optimal consensus problem of multi-agent systems (MASs) with general unstable linear dynamics. The main tool for the design and analysis is the inverse optimality and set stability theory. Firstly, the optimal conditions for ensuring set stability are developed for discrete-time linear systems in terms of the inverse optimality principle. Then for the MASs with unstable dynamics, the approach to designing the optimal consensus protocol is proposed, and the detailed design conditions are developed. Based on the set stability theory, the consensus properties are proved. Finally, a simulation study is provided to verify the effectiveness of the proposed method.
AB - This paper is concerned with the optimal consensus problem of multi-agent systems (MASs) with general unstable linear dynamics. The main tool for the design and analysis is the inverse optimality and set stability theory. Firstly, the optimal conditions for ensuring set stability are developed for discrete-time linear systems in terms of the inverse optimality principle. Then for the MASs with unstable dynamics, the approach to designing the optimal consensus protocol is proposed, and the detailed design conditions are developed. Based on the set stability theory, the consensus properties are proved. Finally, a simulation study is provided to verify the effectiveness of the proposed method.
UR - http://www.scopus.com/inward/record.url?scp=84992060956&partnerID=8YFLogxK
U2 - 10.1109/ACC.2016.7525349
DO - 10.1109/ACC.2016.7525349
M3 - 会议稿件
AN - SCOPUS:84992060956
T3 - Proceedings of the American Control Conference
SP - 2840
EP - 2845
BT - 2016 American Control Conference, ACC 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 American Control Conference, ACC 2016
Y2 - 6 July 2016 through 8 July 2016
ER -