This article reviews the recent development of adaptive dynamic programming (ADP) with
applications in control. First, its applications in optimal regulation are introduced, and some …

This paper reviews recent progress in model identification-based learning and optimal
control and its applications to multi-agent systems (MASs). First, a class of learning-based …

This article proposes an adaptive neural network (NN) output feedback optimized control
design for a class of strict-feedback nonlinear systems that contain unknown internal …

This paper considers an optimal control of an affine nonlinear system with unknown system
dynamics. A new identifier–critic framework is proposed to solve the optimal control problem …

This article presents a model-free-policy iteration (-PI) for the discrete-time linear quadratic
regulation (LQR) problem. To solve the algebraic Riccati equation arising from solving the …

This paper investigates adaptive fuzzy neural network (NN) control using impedance
learning for a constrained robot, subject to unknown system dynamics, the effect of state …

In this article, a control scheme based on optimized backstepping (OB) technique is
developed for a class of nonlinear strict-feedback systems with unknown dynamic functions …

This article considers the robust optimal control problem for a class of nonlinear systems in
the presence of unmodeled dynamics. An adaptive optimal controller is designed using the …

Adaptive dynamic programming (ADP) and reinforcement learning are quite relevant to each
other when performing intelligent optimization. They are both regarded as promising …

This paper deals with the design of an H∞ tracking controller for nonlinear continuous-time
systems with completely unknown dynamics. A general bounded L 2-gain tracking problem …