Liu Shangkun, Jiang Bin, Mao Zehui, Zhang Youmin
IEEE Trans Cybern. 2024 Apr;54(4):2099-2112. doi: 10.1109/TCYB.2022.3222459. Epub 2024 Mar 18.
In this article, the issue of fault-tolerant leader-following consensus under a distributed dynamic event-triggered mechanism is addressed for linear multiagent systems (MASs) in the presence of unknown parameter uncertainties, external disturbances, and actuator faults, including loss of effectiveness and bias, in which the mechanism is with quantized state measurements. Due to the fact that information is transmitted via a bandwidth-limited communication network, a quantized control scheme with a uniform quantizer is introduced for leader-following consensus. In order to decrease the communication load and save the limited communication network resources, a distributed event-triggered mechanism is studied for leader-following consensus problem of linear MASs with quantized state measurements. In the presence of actuator faults, external disturbances, and unknown parameter uncertainties, an adaptive coupling gain for the controller is presented. Based on the Lyapunov function approach, the stability of the closed-loop system and the convergence of consensus errors are proved. Furthermore, the Zeno behavior is excluded for the triggering time sequences. Finally, simulation studies are given to verify the effectiveness of the proposed event-triggered fault-tolerant control scheme.
本文针对存在未知参数不确定性、外部干扰和执行器故障（包括有效性损失和偏差）的线性多智能体系统（MASs），研究了一种分布式动态事件触发机制下的容错领导者跟随一致性问题，其中该机制采用量化状态测量。由于信息是通过带宽受限的通信网络进行传输的，因此引入了一种具有均匀量化器的量化控制方案来实现领导者跟随一致性。为了降低通信负载并节省有限的通信网络资源，研究了一种分布式事件触发机制，用于解决具有量化状态测量的线性MASs的领导者跟随一致性问题。在存在执行器故障、外部干扰和未知参数不确定性的情况下，提出了一种用于控制器的自适应耦合增益。基于李雅普诺夫函数方法，证明了闭环系统的稳定性和一致性误差的收敛性。此外，排除了触发时间序列的芝诺行为。最后，通过仿真研究验证了所提出的事件触发容错控制方案的有效性。
