计算机科学
遏制(计算机编程)
事件(粒子物理)
集合(抽象数据类型)
趋同(经济学)
分布式计算
机制(生物学)
控制(管理)
完整的
多智能体系统
移动机器人
机器人
控制理论(社会学)
人工智能
经济
程序设计语言
哲学
物理
认识论
量子力学
经济增长
作者
Amir Amini,Amir Asif,Arash Mohammadi
出处
期刊:IEEE/CAA Journal of Automatica Sinica
[Institute of Electrical and Electronics Engineers]
日期:2020-09-01
卷期号:7 (5): 1235-1248
被引量:37
标识
DOI:10.1109/jas.2020.1003288
摘要
The paper proposes a novel approach for formation-containment control based on a dynamic event-triggering mechanism for multi-agent systems. The leader-leader and follower-follower communications are reduced by utilizing the distributed dynamic event-triggered framework. We consider two separate sets of design parameters: one set comprising control and dynamic event-triggering parameters for the leaders and a second set similar to the first one with different values for the followers. The proposed algorithm includes two novel stages of co-design optimization to simultaneously compute the two sets of parameters. The design optimizations are convex and use the weighted sum approach to enable a structured trade-off between the formation-containment convergence rate and associated communications. Simulations based on non-holonomic mobile robot multi-agent systems quantify the effectiveness of the proposed approach.
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