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 …

In recent years, the research on reinforcement learning (RL) has focused on function
approximation in learning prediction and control of Markov decision processes (MDPs). The …

The fault-tolerant control problem of a hydraulic servo actuator in the presence of actuator
faults is studied utilizing adaptive dynamic programming. This task is challenging because of …

This paper proposes a novel control approach to solve the cooperative H∞ output
regulation problem for linear continuous-time multi-agent systems (MASs). Different from …

Hydraulic servo actuators (HSAs) are often used in the industry in tasks that request great
power, high accuracy and dynamic motion. It is well known that an HSA is a highly complex …

This article describes the use of principles of reinforcement learning to design feedback
controllers for discrete-and continuous-time dynamical systems that combine features of …

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

This paper presents a novel policy iteration approach for finding online adaptive optimal
controllers for continuous-time linear systems with completely unknown system dynamics …

In this paper, a new online scheme is presented to design the optimal coordination control
for the consensus problem of multiagent differential games by fuzzy adaptive dynamic …

A NEW EDITION OF THE CLASSIC TEXT ON OPTIMAL CONTROL THEORY As a superb
introductory text and an indispensable reference, this new edition of Optimal Control will …