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Distributed Coordination of Dynamical Multi-Agent Systems Under Directed Graphs and Constrained Information Exchange

机译:有向图和约束信息交换下动态多Agent系统的分布式协调

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The distributed coordination problem of multi-agent systems is addressed under the assumption of intermittent discrete-time information exchange with time-varying (possibly unbounded) delays. Specifically, we consider the containment control problem of second-order multi-agent systems with multiple dynamic leaders under a directed interconnection graph topology. First, we present distributed control algorithms for double integrator dynamics in the full and partial state feedback cases. Thereafter, we propose a method to extend our results to second-order systems with locally Lipschitz nonlinear dynamics. We show that, under the same information exchange constraints, our approach can be applied to solve similar coordination problems for other types of complex second-order multi-agent systems, such as harmonic oscillators. In all cases, our control objectives are achieved under some conditions that can be realized independently from the interconnection topology and from the characteristics of the communication process. The effectiveness of the proposed control schemes is illustrated through some examples and numerical simulations.
机译:多代理系统的分布式协调问题是在具有时变(可能无界)延迟的间歇性离散时间信息交换的假设下解决的。具体来说,我们考虑了有向互连图拓扑下具有多个动态领导者的二阶多主体系统的容纳控制问题。首先,我们介绍了在完整和部分状态反馈情况下双积分器动力学的分布式控制算法。此后,我们提出了一种将结果扩展到具有局部Lipschitz非线性动力学的二阶系统的方法。我们表明,在相同的信息交换约束下,我们的方法可用于解决其他类型的复杂二阶多智能体系统(例如谐波振荡器)的类似协调问题。在所有情况下,我们的控制目标都是在某些条件下实现的,这些条件可以独立于互连拓扑和通信过程的特​​性而独立实现。通过一些实例和数值模拟说明了所提出的控制方案的有效性。

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