Reset Event-Triggered Adaptive Fuzzy Consensus for Nonlinear Fractional-Order Multiagent Systems With Actuator Faults
Reset Event-Triggered Adaptive Fuzzy Consensus for Nonlinear Fractional-Order Multiagent Systems With Actuator Faults
复制标题
具有执行器故障的非线性分数阶多智能体系统的重置事件触发自适应模糊一致性
DOI：
10.1109/tcyb.2022.3163528
复制
发表时间：
2022-04
影响因子：
11.8
通讯作者：
Dong Jiuxiang
中科院分区：
文献类型：
--
作者：
Wang Liqi;Dong Jiuxiang
研究了有向图下具有执行器故障的分数阶非线性多智能体系统的事件触发自适应容错模糊输出反馈一致跟踪控制问题。考虑到实际系统大部分时间工作在平衡点附近，提出了一种带重置机制的动态事件触发策略，根据预设条件主动调整动态阈值，进一步降低资源利用率。基于一种改进的基于事件的一致性误差，构造了参考轨迹导数的状态估计器和图信息的自适应律，使得分布式一致性跟踪控制在不获取全局信息的情况下得以实现。然后，通过引入两个自适应补偿项来处理执行器故障和事件触发的测量误差，证明了在分数阶稳定性判据意义下，即使故障参数和故障模式完全未知，跟踪误差也能收敛到一个紧集.最后通过仿真实例验证了所提方法的正确性。
This article studies the problem of event-triggered adaptive fault-tolerant fuzzy output feedback consensus tracking control for nonlinear fractional-order multiagent systems with actuator failures under a directed graph. Considering the fact that the actual system works near the equilibrium point most of the time, a novel dynamic event-triggering strategy with the reset mechanism is proposed, where the dynamic threshold can be actively adjusted according to the preset conditions, so that the resource utilization can be further reduced. Based on an improved event-based consensus error, the state estimator about the derivative of reference trajectory and the adaptive law about the information of graph are constructed, which makes distributed consensus tracking control achieved without obtaining global information. Then, by introducing two adaptive compensating terms to deal with actuator failures and event-triggered measurement errors, it is shown in the sense of fractional-order stability criterion that tracking errors can converge to a compact set even if the fault parameters and modes are completely unknown. Finally, the correctness of the presented method is verified by a simulation example.
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作者：
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DOI：
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