PDE Based Consensus Control for Multi-agent Systems with Event-triggered Mechanism

被引：0

作者：

Liu Z. ^{[1
]}

Cui X. ^{[1
]}

Zhao Z. ^{[4
]}

Hong K. ^{[5
]}

机构：

[1] and Key Laboratory of Intelligent Bionic Unmanned Systems, Ministry of Education, University of Science and Technology Beijing, Beijing

[2] School of Mechanical and Electrical Engineering, Guangzhou University, Guangzhou

[3] Institute for Future, School of Automation, Qingdao University, Qingdao

来源：

IEEE Transactions on Control of Network Systems | 2024年 / 11卷 / 04期

关键词：

Adaptive Control; Boundary Control; Event-triggered Control; Linear matrix inequalities; Mathematical models; Multi-agent systems; Multi-agent Systems; Network systems; Partial Differential Equation; Protocols; Stability analysis; Topology;

D O I：

10.1109/TCNS.2024.3355047

中图分类号：

学科分类号：

摘要：

This paper proposes an adaptive event-triggered control scheme for multi-agent systems to solve the average consensus problem in the presence of communication constraints. The multi-agent system is modeled as a diffusion partial differential equation (PDE) network and the agent dynamics are augmented with boundary control inputs. To achieve bounded average consensus between agents, an adaptive event-triggered control is proposed on the basis of local information interaction, and a static relative threshold method is implemented to reduce the communication burden. The uniform ultimate boundedness of the system is rigorously established through the employment of the Lyapunov direct method and linear matrix inequality techniques. Finally, the numerical simulation results show the effectiveness of the proposed method. IEEE

引用

页码：1 / 10

页数：9

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