Leader-Following Consensus With Prescribed Performance for Linear Multiagent Systems
成果类型:
Article
署名作者:
Luo, Jialei; Liu, Wei
署名单位:
South China University of Technology
刊物名称:
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
ISSN/ISSBN:
0018-9286
DOI:
10.1109/TAC.2024.3471330
发表日期:
2025
页码:
1402-1409
关键词:
VECTORS
CONVERGENCE
transient analysis
switches
State feedback
Protocols
Multi-agent systems
Lyapunov methods
Time-varying systems
Output feedback
Barrier Lyapunov function (BLF)
leader-following consensus
Linear systems
multiagent systems (MASs)
prescribed performance
摘要:
In this article, we consider the leader-following consensus problem with prescribed performance for general linear multiagent systems. To solve this problem, we construct a distributed state feedback control law on the basis of some barrier Lyapunov functions. Then, all the consensus errors are proved to converge to zero asymptotically and the time-varying prescribed performance is proved to be achieved. Finally, we give a simulation example to confirm our results.