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 the current state of the art on reinforcement learning (RL)-based
feedback control solutions to optimal regulation and tracking of single and multiagent …

We consider the problem of optimal trajectory tracking for unknown systems. A novel data-
enabled predictive control (DeePC) algorithm is presented that computes optimal and safe …

The core task of tracking control is to make the controlled plant track a desired trajectory. The
traditional performance index used in previous studies cannot eliminate completely the …

This paper proposes a novel control approach to solve the cooperative H∞ output
regulation problem for linear continuous-time multi-agent systems (MASs). Different from …

In this paper, we investigate the learning-based adaptive optimal output regulation problem
with convergence rate requirement for disturbed linear continuous-time systems. An …

Optimal control problems are ubiquitous in practical engineering applications and social life
with the idea of cost or resource conservation. Based on the critic learning scheme, adaptive …

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 …

Nonlinear tracking control enabling a dynamical system to track a desired trajectory is
fundamental to robotics, serving a wide range of civil and defense applications. In control …

In this paper, a new formulation for the optimal tracking control problem (OTCP) of
continuous-time nonlinear systems is presented. This formulation extends the integral …