Trajectory Tracking of Complex Dynamical Network for Delayed Recurrent Neural Network via Control V-Stability

J. Perez, Jorge A. Gonzalez, R. Soto, Joel Perez
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Abstract

In this paper the problem of trajectory tracking is studied. Based on the V-stability and Lyapunov theory, a control law that achieves the global asymptotic stability of the tracking error between a delayed recurrent neural network and a complex dynamical network is obtained. To illustrate the analytic results we present a tracking simulation of a dynamical network with each node being a Chen’s dynamical system.
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基于控制v -稳定性的延迟递归神经网络复杂动态网络轨迹跟踪
本文研究了弹道跟踪问题。基于v稳定性和Lyapunov理论,得到了延迟递归神经网络与复杂动态网络之间跟踪误差全局渐近稳定的控制律。为了说明分析结果,我们给出了一个动态网络的跟踪仿真,其中每个节点都是陈氏动力系统。
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