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 …

As an important branch of production scheduling, flexible job-shop scheduling problem
(FJSP) is difficult to solve and is proven to be NP-hard. Many intelligent algorithms have …

A permutation flow-shop scheduling problem (PFSP) has been studied for a long time due to
its significance in real-life applications. This work proposes an improved artificial bee colony …

The adaptive practical optimal time-varying formation tracking problems of the disturbed
high-order multi-agent systems with a noncooperative leader are considered. Different from …

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

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 …

In this article, a novel data-based adaptive dynamic programming (ADP) method is
presented to solve the optimal consensus tracking control problem for discrete-time (DT) …

This paper investigates the cooperative robust optimal control of linear multi-agent systems
(MASs) with modeling uncertainties. A distributed controller that ensures the leader …

In this article, a data-driven distributed control method is proposed to solve the cooperative
optimal output regulation problem of leader–follower multiagent systems. Different from …

This article investigates the problem of adaptive neural network (NN) optimal consensus
tracking control for nonlinear multiagent systems (MASs) with stochastic disturbances and …