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Trajectory Tracking on Uncertain Complex Networks via NN-Based Inverse Optimal Pinning Control

机译:基于NN的逆最优钉扎控制在不确定复杂网络上的轨迹跟踪

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摘要

A new approach for trajectory tracking on uncertain complex networks is proposed. To achieve this goal, a neural controller is applied to a small fraction of nodes (pinned ones). Such controller is composed of an on-line identifier based on a recurrent high-order neural network, and an inverse optimal controller to track the desired trajectory; a complete stability analysis is also included. In order to verify the applicability and good performance of the proposed control scheme, a representative example is simulated, which consists of a complex network with each node described by a chaotic Lorenz oscillator.
机译:提出了一种在不确定复杂网络上进行轨迹跟踪的新方法。为了实现这一目标,将神经控制器应用于一小部分节点(固定节点)。这种控制器由基于递归高阶神经网络的在线标识符和跟踪所需轨迹的逆最优控制器组成。还包括完整的稳定性分析。为了验证所提出的控制方案的适用性和良好的性能,模拟了一个典型示例,该示例由一个复杂的网络组成,每个节点由一个混沌的Lorenz振荡器描述。

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