1997年12月1日 · In this paper we study the convergence of the Galerkin approximation method applied to the generalized Hamilton-Jacobi-Bellman (GHJB) equation over a compact set …

2009年8月20日 · I show how to obtain these signals, using the GHJB equation to calculate one component of grad-J (x) -- the one parallel with dx/dt -- and computing all the other …

2017年12月4日 · In this paper, a new iterative method is proposed to solve the generalized Hamilton-Jacobi-Bellman ( GHJB ) equation through successively approximate it. Firstly, the …

哈密顿-雅可比-贝尔曼方程（Hamilton-Jacobi-Bellman equation，简称HJB方程）是一个偏微分方程，是最优控制的核心。 HJB方程式的解是针对特定动态系统及相关代价函数下，有最小代价 …

1996年6月1日 · We state sufficient conditions for the convergence of Galerkin approximations to the GHJB equation. The sufficient conditions derived in this paper include standard …

to solve the GHJB in DT and using the quadratic cost function. It is demonstrated that if the activation functions of t. e NN are linearly independent, the NN weight matrix has a unique …

The infinite-horizon optimal control problem of nonlinear discrete-time systems with actuator saturation is considered in this paper. In order to deal with actu.

2024年5月6日 · HJB方程提供了求解 动态规划 问题的一个有效工具，尤其是在连续时间、连续状态空间的环境中。 其基本思想是将原问题转化为寻找一个价值函数（也称作代价函数或泛 …

In this paper, we consider the use of nonlinear networks towards obtaining nearly optimal solutions to the control of nonlinear discrete-time (DT) systems. The method is based on least …

2021年4月24日 · Policy iteration is a widely used technique to solve the Hamilton Jacobi Bellman (HJB) equation, which arises from nonlinear optimal feedback control theory. Its convergence …