不确定混沌系统同步的鲁棒智能全滑模控制

Chiu-Hsiung Chen, Ya-Fu Peng, Wenhao Hu
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引用次数: 0

摘要

针对不确定混沌系统的同步问题,提出了一种鲁棒智能全滑模控制方案。该控制系统由自适应小波神经网络(WNN)控制器和鲁棒补偿器组成,提供了一种驱动状态轨迹跟踪期望轨迹的设计方法。自适应小波神经网络控制器作为主跟踪控制器,旨在模仿期望的全滑模控制律的优点。针对不确定性,提出了鲁棒补偿器。最后,对Lorenz混沌系统进行了仿真,验证了所提控制策略的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Robust Intelligent Total-Sliding-Mode Control for the Synchronization of Uncertain Chaotic Systems
A robust intelligent total-sliding-mode control scheme is developed for the synchronization of uncertain chaotic systems. The proposed in control system offers a design method to drive the state trajectory to track a desired trajectory, and it is comprised of an adaptive wavelet neural network (WNN) controller and a robust compensator. The adaptive WNN controller acts as the principal tracking controller, which is designed to mimic the merits of a desired total-sliding-mode control law. The robust compensator is proposed to confront the uncertainties. Finally, the Lorenz chaotic systems are performed to verify the effectiveness of the proposed control strategy.
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