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 presents an event-triggered adaptive dynamic programming (ETADP) algorithm
to address the distributed finite-horizon consensus problem of nonlinear homogeneous …

In this article, a novel reinforcement learning-based optimal tracking control (RLOTC)
scheme is established for an unmanned surface vehicle (USV) in the presence of complex …

Nonlinear dynamics is frequently encountered in practical applications. Adaptive dynamic
programming (ADP), which is implemented via actor/critic neural networks with excellent …

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

This paper investigates the automatic exploration problem under the unknown environment,
which is the key point of applying the robotic system to some social tasks. The solution to this …

This article considers a problem of tracking, convergence of disturbance observer (DO)
based optimal control design for uncertain surface vessels (SVs) with external disturbance …

In this article, a dynamic event-triggered control scheme for a class of stochastic nonlinear
systems with unknown input saturation and partially unmeasured states is presented. First, a …

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

The optimal tracking problem for continuous-time boiler turbine systems (BTSs) with
asymmetric input constraints is considered in this paper. Considering that continuous …