Adaptive event-triggered distributed model predictive control for tracking consensus of multiagent systems

被引：0
|
作者：
Wang T. [1 ]
Kang Y. [1 ,2 ]
Li P. [1 ]
机构：
[1] Department of Automation, University of Science and Technology of China, Hefei
[2] Institute of Advanced Technology, University of Science and Technology of China, Hefei
来源：
Zhongguo Kexue Jishu Kexue/Scientia Sinica Technologica | 2023年 / 53卷 / 11期
关键词：
adaptive control; consensus; distributed model predictive control; event-triggered control; multiagent systems;
D O I：
10.1360/SST-2021-0379
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The tracking consensus of multiagent systems based on distributed model predictive control (DMPC) is a current research hotspot. However, as a research difficulty, effective solutions to deal with external disturbances and reduce computational resource consumption are lacking. This paper proposes a new constraint tightening scheme and establishes a new distributed optimization problem. Moreover, an adaptive event-triggering mechanism is designed using the idea of variable prediction horizon, and an adaptive event-triggered DMPC approach for the tracking consensus of multiagent systems is proposed, effectively solving the problems of the unsatisfaction of constraints and computational resource consumption in the tracking consensus of multiagent systems. The effectiveness of the proposed approach is validated by a multivehicle system simulation. © 2023 Chinese Academy of Sciences. All rights reserved.
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收藏
页码：1885 / 1894
页数：9
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