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Robust consensus algorithm for second-order multi-agent systems with external disturbances

机译:具有外部干扰的二阶多智能体系统的鲁棒共识算法

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This article investigates the problem of robust consensus for second-order multi-agent systems with external disturbances. Based on a non-smooth backstepping control technique, a class of novel continuous non-smooth consensus algorithms are proposed for the multi-agent network with/without communication delays. The controller design is divided into two steps. First, for the kinematic subsystem, the velocity is regarded as a virtual input and designed such that the states consensus can be achieved asymptotically. Then for the dynamic subsystem, a finite-time control law is designed such that the virtual velocity can be tracked by the real velocity in a finite time. Under the proposed control law, it is shown that if the communication topology graph contains a directed spanning tree, the states consensus can be achieved asymptotically in the absence of disturbances. In the presence of disturbances, the steady-state errors of any two agents can reach a small region around the origin. By building a relationship between control parameters and the bound of steady tracking errors, it is demonstrated that the disturbance rejection performance of the resulting closed-loop system can be enhanced by adjusting the fractional power in the non-smooth controller. Finally, an example is given to verify the efficiency of the proposed method.
机译:本文研究具有外部干扰的二阶多主体系统的鲁棒共识问题。基于一种非平滑的反推控制技术,针对具有/不具有通信延迟的多智能体网络,提出了一类新颖的连续非平滑共识算法。控制器设计分为两个步骤。首先,对于运动子系统,将速度视为虚拟输入,并对其进行设计,以便可以渐近实现状态共识。然后针对动态子系统,设计了一个有限时间控制律,以便可以在有限时间内通过实际速度跟踪虚拟速度。根据所提出的控制律,表明如果通信拓扑图包含有向生成树,则在没有干扰的情况下可以渐近地实现状态共识。在存在干扰的情况下,任何两个代理的稳态误差都可以到达原点周围的一个较小区域。通过建立控制参数与稳定跟踪误差界限之间的关系,证明了通过调节非平滑控制器的分数功率可以提高所得闭环系统的抗干扰性能。最后,通过实例验证了所提方法的有效性。

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