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A new inverse optimal control method for discrete-time systems

机译:离散时间系统的逆最优控制新方法

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This paper presents a new approach based on extended kalman filter (EKF) to construct a control lyapunov function (CLF). This function will be used in establishing the control law of inverse optimal control for discrete-time nonlinear systems. The main aim of the inverse optimal control is to avoid the solution of the difficult Hamilton-Jacobi-Bellman (HJB) equation which is resulted from the traditional solution of nonlinear optimal control problem. The relevance of the proposed scheme is illustrated through MATLAB simulation. The results show the effectiveness of the proposed method.
机译:本文提出了一种基于扩展卡尔曼滤波器(EKF)的新方法来构造控制lyapunov函数(CLF)。此函数将用于建立离散非线性系统的逆最优控制的控制律。逆最优控制的主要目的是避免求解传统的非线性最优控制问题所导致的困难的Hamilton-Jacobi-Bellman(HJB)方程。通过MATLAB仿真说明了所提方案的相关性。结果表明了该方法的有效性。

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