Model Following Adaptive Control of Complex Dynamical Networks with the Adaptive Coupling

Xiaoxiao Li, Yinhe Wang, Shengping Li
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Abstract

In this research, the model following adaptive control problem for the complex dynamical networks with adaptive coupling is investigated. Firstly, from the large-scale system perspective, the complex dynamical networks studied in this paper is composed of many nodes coupled with each other, where each node is a dynamic basic unit with detailed content, which is modeled by the vector differential equation. Next, based on the Lyapunov stability theory, an appropriate adaptive control scheme and the adaptive coupling are designed for the controller plant, so that the controlled plant can asymptotically track its model following target. Furthermore, each node has a different model following target, which is actually achieve multi-target tracking control. Finally, numerical simulation is given to verify the effectiveness and correctness of the control scheme proposed in this paper.
具有自适应耦合的复杂动态网络自适应控制模型
研究了具有自适应耦合的复杂动态网络的自适应控制问题。首先,从大尺度系统的角度出发,本文研究的复杂动态网络由许多节点相互耦合组成,每个节点是一个具有详细内容的动态基本单元,用矢量微分方程对其进行建模。其次,基于Lyapunov稳定性理论,为被控对象设计合适的自适应控制方案和自适应耦合,使被控对象能够渐近跟踪其模型跟踪目标。此外,每个节点都有不同的模型跟踪目标,实际上实现了多目标跟踪控制。最后通过数值仿真验证了所提控制方案的有效性和正确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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