TY - GEN
T1 - Robust Consensus Optimal Control of Unmanned Surface Vehicles
AU - Zhang, Zhuo
AU - Li, Huiping
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/10/9
Y1 - 2020/10/9
N2 - This paper is concerned with the robust optimal control of uncertain multi-agent systems (MASs) with linearized unmanned surface vehicle (USV) models. Kinematics and dynamics of USVs are linearized as plant models of MASs, and a leaderless consensus control protocol is presented. Moreover, the robust optimization of performance index can be guaranteed by the presented protocol. Numerical example is provided to show the effectiveness of presented protocol.
AB - This paper is concerned with the robust optimal control of uncertain multi-agent systems (MASs) with linearized unmanned surface vehicle (USV) models. Kinematics and dynamics of USVs are linearized as plant models of MASs, and a leaderless consensus control protocol is presented. Moreover, the robust optimization of performance index can be guaranteed by the presented protocol. Numerical example is provided to show the effectiveness of presented protocol.
KW - Consensus control
KW - multi-agent systems (MASs)
KW - robust optimal control
KW - unmanned surface vehicles (USVs)
UR - http://www.scopus.com/inward/record.url?scp=85098056822&partnerID=8YFLogxK
U2 - 10.1109/ICCA51439.2020.9264469
DO - 10.1109/ICCA51439.2020.9264469
M3 - 会议稿件
AN - SCOPUS:85098056822
T3 - IEEE International Conference on Control and Automation, ICCA
SP - 129
EP - 134
BT - 2020 IEEE 16th International Conference on Control and Automation, ICCA 2020
PB - IEEE Computer Society
T2 - 16th IEEE International Conference on Control and Automation, ICCA 2020
Y2 - 9 October 2020 through 11 October 2020
ER -