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 …

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

Reinforcement learning (RL) offers powerful algorithms to search for optimal controllers of
systems with nonlinear, possibly stochastic dynamics that are unknown or highly uncertain …

This article presents a learning‐based barrier certified method to learn safe optimal
controllers that guarantee operation of safety‐critical systems within their safe regions while …

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 …

This article investigates the problem of adaptive fuzzy optimal distributed consensus control
for stochastic multiagent systems (MASs) with full-state constraints and nonaffine nonlinear …

This paper investigates the optimal consensus control problem for discrete-time multi-agent
systems with completely unknown dynamics by utilizing a data-driven reinforcement …

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 …

Microgrids incorporated with distributed generation (DG) units and energy storage (ES)
devices are expected to play more and more important roles in the future power systems …