Data-Driven Distributed Predictive Tracking Control for Heterogeneous Nonlinear Multiagent Systems With Communication Delays
成果类型:
Article
署名作者:
Huang, Yi; Liu, Guo-Ping; Yu, Yi; Hu, Wenshan
署名单位:
Wuhan University; Southern University of Science & Technology
刊物名称:
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
ISSN/ISSBN:
0018-9286
DOI:
10.1109/TAC.2024.3357529
发表日期:
2024
页码:
4786-4792
关键词:
Delays
Predictive control
Multi-agent systems
predictive models
nonlinear dynamical systems
communication networks
Vehicle dynamics
Communication delays
Data-driven control
distributed predictive control
Networked control
nonlinear multiagent systems
摘要:
This article focuses on the consensus and tracking problem of nonlinear multiagent systems under communication delays, and proposes a distributed predictive control scheme, which is independent of the system model and able to actively compensate for communication delays. First, a consensus-related auxiliary variable and its corresponding estimator are innovatively designed to provide a globally consistent value. Then, the idea of dynamic linearization is adopted to obtain the equivalent linear dynamics of nonlinear agents. Furthermore, a distributed predictive controller is designed with the help of the auxiliary variables and the acquired time-varying linear system model. Compared with the existing schemes, the proposed controller compensates for the delayed signals in an active way, makes the traditional model-based predictive control method get rid of the dependence on the accurate system model, and carries out the rolling prediction in a distributed form. A stability analysis of the closed-loop system is given to illustrate the generality of the designed method. Finally, a numerical simulation verifies the effectiveness of the proposed method.