Nowadays, countless research efforts have been reported for distillation column on
nonlinear modelling. Several studies have shown the importance of appropriate perturbation …

Many studies in current years has concentrated on both linear and nonlinear modelling in
the real nonlinear system applications. This study reports a nonlinear modelling for a time …

This paper focuses on a nonlinear modellin by employing a polynomial Nonlinear A
structure based on Binary Parti identification time-varying steam tempera Pilot Plant. Three …

There is an increasing concern on the perturbation signal analysis on nonlinear modeling
for nonlinear systems. Several studies have shown the importance of suitable perturbation …

In this paper, a neural network based technique for estimating dynamic states of generators
in highly complex power systems is presented. The proposed method is independent to the …

There is an increasing concern on the perturbation signal analysis on nonlinear modeling
for nonlinear systems. Several studies have shown the importance of suitable perturbation …

This paper focuses on a nonlinear modelling for a time-varying process of steam
temperature by employing a polynomial Nonlinear Auto-Regressive with Exogenous Input …

Control position and reduction of swinging of the payload of a rigid gantry crane system is a
challenging work because of under-actuated system. This paper addresses challenges by …

Abstract Characterization of finite measured signals is a great of importance in dynamical
modeling and system identification. This paper addresses an approach for characterization …