Consensus Formation of Multi-agent Systems with Obstacle Avoidance based on Event-triggered Impulsive Control

被引:0
作者
Lianghao Ji
Xiaofeng Qu
Chengmei Tang
Shasha Yang
Xing Guo
Huaqing Li
机构
[1] Chongqing University of Posts and Telecommunications,Chongqing Key Laboratory of Image Cognition
[2] Chongqing University of Posts and Telecommunications,School of Computer Science and Technology
[3] Southwest University,College of Electronic and Information Engineering
来源
Journal of Intelligent & Robotic Systems | 2023年 / 109卷
关键词
Multi-agent systems; Event-triggered impulsive control; Consensus formation; Obstacle avoidance;
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摘要
This paper utilizes the distributed event-triggered impulsive control (ETIC) scheme to solve the consensus formation problem of leader-follower multi-agent systems (MASs) subject to obstacles. In order to solve the problem of the high cost of continuous control, an impulsive control strategy combined with the event triggering function is applied. By Lyapunov theory, the sufficient conditions for the strategy to achieve global exponential consensus are obtained, which implies that the formation of the system can be completed successfully. This research proposes a novel event-triggered condition which reduces the system’s energy loss when performing formation tasks. The proposed scheme not only realizes the system formation but also avoids the occurrence of Zeno behavior. Furthermore, the influence of the external environment with obstacles to consensus formation is considered. An improved artificial potential field (APF) function is proposed, which enables the MASs to avoid obstacles during the formation process. Finally, the effectiveness of the proposed method is verified by simulations.
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[1]  
Li XM(2019)Event-triggered consensus control for multi-agent systems against false data-injection attacks IEEE Trans. Cybern. 50 1856-1866
[2]  
Zhou Q(2019)Observer-based distributed secure consensus control of a class of linear multi-agent systems subject to random attacks IEEE Trans. Circuits Syst. I: Regul. Pap. 66 3089-3099
[3]  
Li P(2021)Secure control of multiagent systems against malicious attacks: A brief survey IEEE Trans. Industr. Inform. 18 3595-3608
[4]  
Li H(2022)Fixed-time consensus based distributed economic generation control in a smart grid Int. J. Electr. Power Energy Syst. 134 107437-2102
[5]  
Lu R(2022)Energy dispatch optimization of islanded multi-microgrids based on symbiotic organisms search and improved multi-agent consensus algorithm Energy 239 2093-12842
[6]  
Yang Y(2018)Multi-agent system based distributed pattern search algorithm for non-convex economic load dispatch in smart grid IEEE Trans. Power. Syst. 34 12832-50
[7]  
Xu H(2021)Optimal consensus control design for multiagent systems with multiple time delay using adaptive dynamic programming IEEE Trans. Cybern. 52 40-858
[8]  
Yue D(2020)Deterministic policy gradient adaptive dynamic programming for model-free optimal control Neurocomputing 387 848-1800
[9]  
He W(2018)Data-driven distributed output consensus control for partially observable multiagent systems IEEE Trans. Cybern. 49 1789-367
[10]  
Xu W(2020)Hierarchical design for position-based formation control of rotorcraft-like aerial vehicles IEEE Trans. Control Netw. Syst. 7 348-2027