多智能体系统
共识
计算机科学
控制(管理)
人工智能
作者
Zheng‐Guang Wu,Yong Xu,Ya‐Jun Pan,Peng Shi,Qian Wang
标识
DOI:10.1109/tsmc.2017.2773634
摘要
In this paper, the problem of distributed event-triggered pinning control for practical consensus of multiagent systems (MASs) with quantized communication based on a directed graph is investigated. The pinning control for practical consensus of MASs with uniform quantizer is first discussed. Then, in order to decrease communication load of interagent, the event-triggered quantized communication protocol is designed. The nonsmooth analysis and Gronwall's inequality approach is used to guarantee the existence of a solution to the resulting closed-loop system. It is shown that practical consensus is reachable through the event-triggered control and converges to a consensus set. Moreover, "Zeno phenomenon" can be excluded. Finally, an example is given to validate the feasibility and efficiency of the proposed new design method.
科研通智能强力驱动
Strongly Powered by AbleSci AI