This article presents a model-free-policy iteration (-PI) for the discrete-time linear quadratic
regulation (LQR) problem. To solve the algebraic Riccati equation arising from solving the …

In this paper, a novel successive approximation framework, named hybrid iteration (HI), is
proposed to fill up the performance gap between two well-known dynamic programming …

In this paper, by incorporating the event-triggered mechanism and the adaptive dynamic
programming algorithm, a novel near-optimal control scheme for a class of unknown …

This paper develops an integral reinforcement learning (IRL)-based adaptive control method
for the multi-player non-zero-sum (NZS) games of the nonlinear continuous-time systems …

In this article, a novel online decentralized event-triggered control scheme is proposed for a
class of nonlinear interconnected large-scale systems subject to unknown internal system …

In this paper, a novel decentralized control method is proposed for nonlinear mismatched
large-scale interconnected systems subjected to partially unknown dynamics by designing …

In this paper, a novel adaptive dynamic programming (ADP) algorithm is developed for the
infinite-horizon (H∞) optimal control problems with unknown continuous-time (CT) nonlinear …

In this article, a multi‐event‐triggered (MET) near‐optimal tracking control algorithm is
developed for a discrete‐time (DT) nonlinear non‐zero‐sum game (NZSG). Firstly, the …

Accurate trajectory tracking and appropriate contact force are crucial for the coordinated
operation-oriented control of modular robot manipulators (MRMs). Considering the practical …

This paper presents a novel adaptive optimal control algorithm by combining adaptive
dynamic programming with nonlinear model predictive control for unknown continuous‐time …