During the past half century, modern control theory has developed greatly and many
branches and subfields have emerged, for example, linear system theory, optimal control …

Many practical non‐linear systems can be described by non‐linear auto‐regressive moving
average (NARMA) system models, whose stabilisation problem is challenging in the …

In this paper, robust adaptive output feedback control is studied for a class of discrete‐time
nonlinear systems with functional nonlinear uncertainties of the Lipschitz type and unknown …

We present adaptive neural control design for a class of perturbed nonlinear MIMO time‐
varying delay systems in a block‐triangular form. Based on a neural controller, it is obtained …

The paper presents an evolutionary optimization of a novel neurocontroller for the single
phase sine-wave inverter. The controller is trained in online mode. The adaptation algorithm …

The problem of tracking control for a class of uncertain non-affine discrete-time nonlinear
systems with internal dynamics is addressed. The fixed point theorem is first employed to …

This paper deals with adaptive tracking for discrete-time MIMO nonlinear systems in
presence of disturbances. A Particle Swarm Optimization (PSO)-Gain selection is used to …

In this paper, an adaptive neural network (NN) control scheme is proposed for a class of
strict-feedback discrete-time nonlinear systems with input saturation. which is designed via …

This paper deals with adaptive tracking for unknown discrete-time MIMO nonlinear systems
in presence of disturbances. A Particle Swarm Optimization (PSO) is used to improve a …

In this paper, we present an innovative approach for stability analysis of nonlinear discrete
time-varying systems introducing a new notion of dynamic poles and Extended-Routh's …