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 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 …

With the rapid development in information science and technology, many businesses and
industries have undergone great changes, such as chemical industry, electric power …

In order to stabilize a class of uncertain nonlinear strict-feedback systems with full-state
constraints, an adaptive neural network control method is investigated in this paper. The …

In this paper, a new formulation for the optimal tracking control problem (OTCP) of
continuous-time nonlinear systems is presented. This formulation extends the integral …

In this paper, a value iteration adaptive dynamic programming (ADP) algorithm is developed
to solve infinite horizon undiscounted optimal control problems for discrete-time nonlinear …

This paper is concerned with a new discrete-time policy iteration adaptive dynamic
programming (ADP) method for solving the infinite horizon optimal control problem of …

In this paper, an adaptive fuzzy optimal control design is addressed for a class of unknown
nonlinear discrete-time systems. The controlled systems are in a strict-feedback frame and …

In this article, we consider an iterative adaptive dynamic programming (ADP) algorithm
within the Hamiltonian-driven framework to solve the Hamilton–Jacobi–Bellman (HJB) …

This paper presents an online policy iteration (PI) algorithm to learn the continuous-time
optimal control solution for unknown constrained-input systems. The proposed PI algorithm …