基于最小二乘支持向量机的双模控制

Double Mode Control Based on Least Squares Support Vector Machine

  • 摘要: 提出一种保证闭环系统稳定性的双模控制:采用预测控制将状态驱动到终端约束域,再利用局部线性控制将状态驱动到原点.在分析一类基于最小二乘支持向量机(LS-SVM)的预测控制的基础上,在常规的性能指标后附加了一个终端约束,并利用李亚普诺夫方法推导了确保闭环系统稳定性的4个充分条件.在此基础上,推导了基于最小二乘支持向量机的双模控制算法.仿真结果显示了算法的优越性.

     

    Abstract: A double mode control is proposed to guarantee the stability of the closed-loop system which applies predictive control to driving the state to the terminal constraint region,and then uses local linear control to drive the state to the origin. By analyzing a class of predictive control based on least squares support vector machine(LS-SVM),a terminal constraint is appended to the conventional performance index,and four sufficient conditions are deduced by Lyapunov method to guarantee the stability of the closed-loop system.According to these conditions,a double mode control algorithm based on LS-SVM is deduced.The simulation result shows the advantage of the proposed algorithm.

     

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