A new controller design method for nonaffine nonlinear dynamic systems is presented in this
paper. An identified neural network model of the nonlinear plant is used in the proposed …

An finite-element methods (FEM)-based neural-network approach to nonlinear
autoregressive with exogenous input (NARX) modeling is presented. The method uses …

The model matching problem for a discrete-time nonlinear system, described by a higher-
order difference equation relating the input, the output, and a finite number of their time shifts …

This paper provides a robust indirect adaptive control method for non-affine plants. Subject
to some mild assumptions, the method can be applied to both minimum and non-minimum …

This paper presents a new method of achieving stable adaptive control of non-affine
nonlinear plants with artificial neural networks. The restrictions placed on the size of the …

The paper presents a two-degrees of freedom output feedback controller for nonlinear SISO
systems where the plant to be controlled is represented by a discrete-time input-output …

This paper reports on our present achievement toward the intelligent control of a boiler-
turbine power-plant based on switching control scheme, recently revived by some active …

The input-output decoupling problem is studied for a class of recursive nonlinear systems
(RNSs), ie for systems, modelled by recursive nonlinear input-output equations involving …

A novel controller design method for non-affine nonlinear dynamical systems is presented in
this paper. The method is based on a new control law that is developed for any discrete …

This paper proposes a method of identifying nonlinear dynamic models with observation
data (or a training data set) which exhibits a simple structure, adaptive input-space partition …