Nonlinear black-box modeling in system identification: a unified overview

Nonlinear black-box modeling in system identification: a unified overview

A nonlinear black-box structure for a dynamical system is a model structure that is prepared to describe virtually any nonlinear dynamics. There has been considerable recent interest in this area, with structures based on neural networks, radial basis networks, waveiet networks and hinging hyperplanes, as well as wavelet-transform-based methods and models based on fuzzy sets and fuzzy rules. Th...

Nonlinear Black-box Modeling in System Identiication

A Qualitative-Fuzzy Framework for Nonlinear Black-Box System Identification

This paper presents a novel approach to nonlinear black-box system identification which combines Qualitative Reasoning (QR) methods with fuzzy logic systems. Such a method aims at building a good initialization of a fuzzy identifier, so that it will converge to the inputoutput relation which captures the nonlinear dynamics of the system. Fuzzy inference procedures should be initialized with a r...

Some Aspects on Nonlinear Black - Box Modeling in System Identi

Black-Box Tool for nonlinear System Identification Based upon Fuzzy System

This paper introduces a novel identifier scheme for identification of non-linear systems with disturbances. The identification process is carried out in two steps; an off-line procedure and an online procedure. The method comprises of an automatic structure generating phase using entropy based technique. The accuracy of the model is suitably controlled using the entropy measure. The parameter l...