In this article, off-policy reinforcement learning (RL) algorithm is established to solve the
discrete-time N-player nonzero-sum (NZS) games with completely unknown dynamics. The …

A robust optimal control method for a class of nonlinear systems with unknown disturbances
is addressed in this paper. In this framework, adaptive dynamic programming (ADP) is …

This paper presents a data-based finite-horizon optimal control approach for discrete-time
nonlinear affine systems. The iterative adaptive dynamic programming (ADP) is used to …

In this paper, the robust optimal control of continuous-time affine nonlinear systems with
matched uncertainties is investigated by using a data-based integral policy iteration …

This paper is concerned with the robust optimal tracking control strategy for a class of
nonlinear multi-input multi-output discrete-time systems with unknown uncertainty via …

In this paper, a generalized policy iteration (GPI) algorithm with approximation errors is
developed for solving infinite horizon optimal control problems for nonlinear systems. The …

This paper considers the online optimal consensus control problem for unknown linear
discrete-time (DT) multi-agent systems (MASs). Based on time-based adaptive dynamic …

This paper is focused on the data-driven model-free adaptive fault detection and estimation
(FDE) and fault-tolerant control (FTC) problems for multi-input multi-output (MIMO) discrete …

This article investigates a class of optimal joint therapeutic regimens based on adaptive
dynamic programming (ADP) and generalized fuzzy hyperbolic model (GFHM) for multiple …

In this paper, a synchronous solution method for multi-player zero-sum games without
system dynamics is established based on neural network. The policy iteration (PI) algorithm …