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 article investigates the adaptive fault-tolerant tracking control problem for a class of
discrete-time multiagent systems via a reinforcement learning algorithm. The action neural …

This article proposes a fault-tolerant adaptive multigradient recursive reinforcement learning
(RL) event-triggered tracking control scheme for strict-feedback discrete-time multiagent …

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 …

With the rapid development in information science and technology, many businesses and
industries have undergone great changes, such as chemical industry, electric power …

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

In this paper, an adaptive neural network (NN) control problem is investigated for discrete-
time nonlinear systems with input saturation. Radial-basis-function (RBF) NNs, including …

In this paper, an adaptive fuzzy optimal control design is addressed for a class of unknown
nonlinear discrete-time systems. The controlled systems are in a strict-feedback frame and …

In this article, the tracking control problem of event-triggered multigradient recursive
reinforcement learning is investigated for nonlinear multiagent systems (MASs). Attention is …

The H∞ control design problem is considered for nonlinear systems with unknown internal
system model. It is known that the nonlinear H∞ control problem can be transformed into …