当前位置: X-MOL 学术Inform. Sci. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Event-triggered consensus strategy for uncertain topological fractional-order multiagent systems based on Takagi-Sugeno fuzzy models
Information Sciences Pub Date : 2020-11-13 , DOI: 10.1016/j.ins.2020.11.005
Taotao Hu , Zheng He , Xiaojun Zhang , Shouming Zhong

This article investigates the event-triggered consensus strategy (ETCS) for uncertain topological fractional-order multiagent systems based on Takagi-Sugeno fuzzy models. First, a novel distributed ETCS, in which the event generator only depends on the information from neighboring agents at event-triggering instants, is designed to reduce the frequency of information transmission among all agents and to ensure a positive lower bound on the interval between any two event-triggering instants for all agents. Then, by applying the fractional Lyapunov method and the designed ETCS, the consensus problem for fractional-order multiagent systems is handled with less waste of system resources compared to the previous related works. According to the proposed consensus criteria, the Zeno behavior is precluded for ETCS. Finally, numerical simulations are given to demonstrate the effectiveness of the designed event-triggered control algorithm.



中文翻译:

基于Takagi-Sugeno模糊模型的不确定拓扑分数阶多主体系统的事件触发共识策略

本文研究了基于Takagi-Sugeno模糊模型的不确定拓扑分数阶多主体系统的事件触发共识策略(ETCS)。首先,设计一种新颖的分布式ETCS,其中事件生成器仅在事件触发时刻依赖于来自相邻代理的信息,旨在减少所有代理之间的信息传输频率,并确保任何代理之间的间隔的正下限所有座席的两个事件触发瞬间。然后,通过应用分数次Lyapunov方法和设计的ETCS,与先前的相关工作相比,分数阶多主体系统的共识问题得到的系统资源浪费更少。根据提议的共识标准,对于ETCS,不考虑Zeno行为。最后,

更新日期:2020-11-13
down
wechat
bug