Event-Based Distributed Adaptive Fuzzy Consensus for Nonlinear Fractional-Order Multiagent Systems
Event-Based Distributed Adaptive Fuzzy Consensus for Nonlinear Fractional-Order Multiagent Systems
复制标题
非线性分数阶多智能体系统的基于事件的分布式自适应模糊一致性
DOI：
10.1109/tsmc.2021.3130718
复制
发表时间：
2022-09
期刊：
影响因子：
--
通讯作者：
Dong Jiuxiang
中科院分区：
文献类型：
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作者：
Wang Liqi;Dong Jiuxiang
研究了一类非线性分数阶多智能体系统的分布式事件触发自适应模糊一致跟踪控制问题。设计了两种新的事件触发机制，分别用于通信和控制，其触发条件不依赖于全局信息，并且可以保证传输间隔的正下界。同时，提出了一种结合连续函数的改进的基于事件的共识协议，克服了信息传输不连续带来的控制设计困难。通过引入补偿状态估计器，证明了在有向图下，即使所有智能体都不知道领头信号的导数，高阶FOMASs的有界一致性仍然可以实现。基于分数阶李雅普诺夫直接法的稳定性分析和仿真实例验证了所提方法的正确性。
This article studies the problem of distributed event-triggered adaptive fuzzy consensus tracking control for a class of nonlinear fractional-order multiagent systems (FOMASs). Two new event triggering mechanisms are designed for communication and control, respectively, where triggering conditions do not depend on the global information and a positive lower bound of transmission interval can be ensured. Meanwhile, a modified event-based consensus protocol combining a continuous function is presented, which overcomes the difficulty of control design caused by discontinuous information transmission. By introducing a compensating state estimator, it is shown that the bounded consensus of higher-order FOMASs can be still achieved under a directed graph even though the derivative of the leader signal is unknown to all agents. Stability analysis based on the fractional-order Lyapunov direct method and simulation examples verify the correctness of the presented method.