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 monograph presents a new framework for learning-based control synthesis of
continuous-time dynamical systems with unknown dynamics. The new design paradigm …

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 …

In this paper, an adaptive controller design is studied for single-input–single-output (SISO)
nonlinear systems with parameter uncertainties and the systems are enforced to subject to …

This article investigates an adaptive reinforcement learning (RL) optimal control design
problem for a class of nonstrict-feedback discrete-time systems. Based on the neural …

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 …

Model-free control is an important and promising topic in control fields, which has attracted
extensive attention in the past few years. In this paper, we aim to solve the model-free …

In this paper, a model-free solution to the H∞ control of linear discrete-time systems is
presented. The proposed approach employs off-policy reinforcement learning (RL) to solve …

In this paper, we address an adaptive control problem for a class of nonlinear strict-feedback
systems with uncertain parameter. The full states of the systems are constrained in the …