Jia-Hao Zhu

Reinforcement Learning‐Based Sliding Variable Optimal Control for Canonical Nonlinear Systems With Unknown Control Direction

This paper presents a sliding variable‐based optimal control (SVBOC) framework for canonical nonlinear systems with unknown control direction. The approach integrates reinforcement learning (RL) with neural network (NN) approximation to address the challenge of solving the Hamilton–Jacobi–Bellman (HJB) equation in sy...