Zhou Haodong, Zuo Yi, Tong Shaocheng
IEEE Trans Cybern. 2024 Dec;54(12):7163-7172. doi: 10.1109/TCYB.2024.3472690. Epub 2024 Nov 27.
This article studies the fuzzy adaptive event-triggered (ET) consensus control issue of nonlinear multiagent systems (NMASs) under jointly connected switching networks. Since the leader and its high-order derivatives are unknown under jointly connected switching networks, a novel distributed ET reference generator equipped with an ET mechanism is constructed to estimate them. Meanwhile, the continuous information transmission among agents is avoided and the network channel utilization is optimized. Subsequently, fuzzy logic systems (FLSs) are employed to approximate unknown dynamics, and a fuzzy adaptive ET consensus control algorithm only using intermittent communication is designed by backstepping control methodology. It is demonstrated that all the closed-loop signals are semi-globally uniformly ultimately bounded (SGUUB), with the tracking errors converging to a small neighborhood around zero. Finally, we apply the developed fuzzy adaptive ET consensus control algorithm to unmanned surface vehicles (USVs), and the simulation results verify the effectiveness of the proposed ET consensus control algorithm.
本文研究联合连通切换网络下非线性多智能体系统（NMASs）的模糊自适应事件触发（ET）一致性控制问题。由于在联合连通切换网络下领导者及其高阶导数未知，构建了一种配备事件触发机制的新型分布式ET参考生成器来估计它们。同时，避免了智能体之间的连续信息传输，优化了网络信道利用率。随后，采用模糊逻辑系统（FLSs）逼近未知动态，并通过反步法控制方法设计了一种仅使用间歇通信的模糊自适应ET一致性控制算法。结果表明，所有闭环信号都是半全局一致最终有界（SGUUB）的，跟踪误差收敛到零附近的一个小邻域内。最后，将所提出的模糊自适应ET一致性控制算法应用于无人水面舰艇（USV），仿真结果验证了所提ET一致性控制算法的有效性。
