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 …

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 a neural network (NN)‐based control problem for unknown discrete‐
time nonlinear systems with a denial‐of‐service (DoS) attack and an adaptive event …

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 …

Adaptive dynamic programming (ADP) and reinforcement learning are quite relevant to each
other when performing intelligent optimization. They are both regarded as promising …

The self-learning optimal regulation for discrete-time nonlinear systems under event-driven
formulation is investigated. An event-based adaptive critic algorithm is developed with …

This paper is concerned with a novel integrated multi-step heuristic dynamic programming
(MsHDP) algorithm for solving optimal control problems. It is shown that, initialized by the …

This paper investigates a fault-tolerant control of the hypersonic flight vehicle using back-
stepping and composite learning. With consideration of angle of attack (AOA) constraint …

In this paper, a tracking control approach for surface vessel is developed based on the new
control technique named optimized backstepping (OB), which considers optimization as a …

This paper develops an event-triggered decentralized tracking control (DTC) approach for
modular reconfigurable robots (MRRs) by using adaptive dynamic programming. By …