Prescribed setting time event-triggered synergetic control of multiagent systems with output dead-zone

被引：0
作者：
Wang J.-H. [1 ]
Zou T. [1 ]
Zhang C.-L. [1 ]
Mu Z.-X. [2 ]
Liu Z. [3 ]
机构：
[1] College of Mechanical and Electrical Engineering, Guangzhou University, Guangzhou
[2] College of Electrical Automation and Information Engineering, Tianjin University, Tianjin
[3] College of Automation, Guangdong University of Technology, Guangzhou
来源：
Kongzhi yu Juece/Control and Decision | 2023年 / 38卷 / 02期
关键词：
consensus control; dead-zone output; event-triggered control; multi-agent systems; Nussbaum function; prescribed setting time;
D O I：
10.13195/j.kzyjc.2021.0399
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Aiming at the problem of consensus control of multi-agent systems with dead-zone outputs, this paper proposes a prescribed settling time event-triggered consensus control method. The dead-zone output phenomenon is common in actual systems. Its negative feedback adjustment has a great influence on the control loop, which will lead to the decline of the system control performance. For this reason, the dead-zone output characteristic is compensated by combining the Nussbaum function to weaken its impact on system performance. However, solving the above problems will also increase the occupation of system control transmission resources. Since the multi-agent system relies on frequent information interaction between agents to achieve control goals, its own transmission resources are limited. Taking into account the limitations of the actual system, the event-triggered control strategy is applied to economize system control transmission resources. Furthermore, to effectively improve the performance of the system and enable the system to quickly reach stability, a type of conversion function is introduced to perform system transformation, which achieves the goal of system synchronization error converging to a compact set within prescribed settling time. Theoretical analysis and simulation results verify the effectiveness of the proposed method. © 2023 Northeast University. All rights reserved.
引用
收藏
页码：441 / 449
页数：8
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