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 idea of optimization can be regarded as an important basis of many disciplines and
hence is extremely useful for a large number of research fields, particularly for artificial …

The core task of tracking control is to make the controlled plant track a desired trajectory. The
traditional performance index used in previous studies cannot eliminate completely the …

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

The wastewater treatment is an important avenue of resources cyclic utilization when coping
with the modern urban diseases. However, there always exist obvious nonlinearities and …

Optimal control problems are ubiquitous in practical engineering applications and social life
with the idea of cost or resource conservation. Based on the critic learning scheme, adaptive …

This paper proposes a novel event-triggered adaptive dynamic programming (ADP) control
method for nonlinear continuous-time system with unknown internal states. Comparing with …

In this paper, a learning-based robust tracking control scheme is proposed for a quadrotor
unmanned aerial vehicle system. The quadrotor dynamics are modeled including time …

In this paper, an event-triggered near optimal control structure is developed for nonlinear
continuous-time systems with control constraints. Due to the saturating actuators, a …

As a powerful method of solving the nonlinear optimal control problem, the iterative adaptive
dynamic programming (IADP) is usually established on the known controlled system model …