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 …

The adaptive dynamic programming (ADP) technology has been widely used benefiting
from its recursive structure in forward and the prospective conception of reinforcement …

This article investigates the hierarchical sliding-mode surface (HSMS)-based adaptive critic
tracking control problem for nonlinear multiplayer zero-sum games (ZSGs). First, a …

This article investigates the problem of path following for the underactuated unmanned
surface vehicles (USVs) subject to state constraints. A useful control algorithm is proposed …

This article studies the decentralized event-triggered control problem for a class of
constrained nonlinear interconnected systems. By assigning a specific cost function for each …

In this article, through adaptive critic, a dual event-triggered (DET) constrained control
scheme is established for discrete-time nonlinear zero-sum games. The neural networks are …

This article investigates the adaptive resilient event-triggered control for rear-wheel-drive
autonomous (RWDA) vehicles based on an iterative single critic learning framework, which …

This paper studies the online adaptive optimal controller design for a class of nonlinear
systems through a novel policy iteration (PI) algorithm. By using the technique of neural …

This article presents a novel reinforcement learning strategy that addresses an optimal
stabilizing problem for unknown nonlinear systems subject to uncertain input constraints …