Event-triggered consensus strategy for uncertain topological fractional-order multiagent systems based on Takagi-Sugeno fuzzy models
Event-triggered consensus strategy for uncertain topological fractional-order multiagent systems based on Takagi-Sugeno fuzzy models
复制标题
DOI：
10.1016/j.ins.2020.11.005
复制
发表时间：
2020-11
期刊：
影响因子：
--
通讯作者：
Taotao Hu;Zheng He;Xiaojun Zhang;S. Zhong
中科院分区：
文献类型：
--
作者：
Taotao Hu;Zheng He;Xiaojun Zhang;S. Zhong
本文研究了基于 Takagi-Sugeno 模糊模型的不确定拓扑分数阶多智能体系统的事件触发共识策略（ETCS）。首先，设计了一种新颖的分布式ETCS，其中事件生成器仅依赖于事件触发时刻的相邻代理的信息，旨在减少所有代理之间的信息传输频率，并确保所有代理的任意两个事件触发时刻之间的间隔具有正下界。然后，通过应用分数阶Lyapunov方法和设计的ETCS，解决了分数阶多智能体系统的共识问题，与之前的相关工作相比，系统资源的浪费更少。根据提议的共识标准，ETCS 排除了 Zeno 行为。最后，通过数值仿真验证了所设计的事件触发控制算法的有效性。
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.