The adaptive optimal control of unknown nonlinear system with different time scales is
considered in this paper. The commonly used singular perturbation theory (SPT) to solve …

This paper introduces an observer-based adaptive optimal control method for unknown
singularly perturbed nonlinear systems with input constraints. First, a multi-time scales …

A policy-iteration-based algorithm is presented in this article for optimal control of unknown
continuous-time nonlinear systems subject to bounded inputs by utilizing the adaptive …

In this paper, an adaptive critic design (ACD)-based robust on-line neural network control
design is developed for a class of parabolic partial differential equation (PDE) systems with …

This paper proposes a novel finite-time optimal control method based on input–output data
for unknown nonlinear systems using adaptive dynamic programming (ADP) algorithm. In …

This paper proposes a novel robust adaptive control strategy for partially unknown
continuous-time nonlinear systems subject to unmatched uncertainties. Initially, the robust …

In this paper, two indirect adaptive control schemes for a class of multi-input-multi-output
nonlinear singularly perturbed systems with partially unknown models and parameters are …

In this paper, a new identification and control scheme using multitime scale recurrent high-
order neural networks is proposed to control the singularly perturbed nonlinear systems with …

This paper presents an adaptive learning structure based on neural networks (NNs) to solve
the optimal robust control problem for nonlinear continuous-time systems with unknown …

This article investigates the adaptive neural-network (NN) tracking optimal control problem
for stochastic nonlinear systems, which contain state constraints and uncertain dynamics …