基于最小二乘支持向量机的非线性系统鲁棒自适应跟踪控制

Robust Adaptive Tracking Control for Nonlinear System Based on Least Squares Support Vector Machine

  • 摘要: 提出了一种基于最小二乘支持向量机的非线性系统鲁棒自适应跟踪控制方法.该方法通过最小二乘支持向量机在线修正由于建模误差、不确定因素等引起的非线性系统逆误差,使得系统输出可以准确跟踪参考模型输出.最小二乘支持向量机的参数调整规律由李亚普诺夫稳定性理论导出.文中证明了非线性系统的稳定性,仿真结果证明了该方法的有效性.

     

    Abstract: A method of robust adaptive tracking control for nonlinear systems based on least squares support vector machines(LS-SVM) is presented.The no-linear system inverse error caused by modeling error and uncertain factors is regulated with LS-SVM on-line in order to make the system outputs accurately track the outputs of the reference model.The updating rule of LS-SVM parameters is derived from Lyapunov stability theroy.The stability of the nonlinear system is proved.Simulaton results demonstrate the effectiveness of the proposed method.

     

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