Interest in using artificial neural networks (ANNs) for forecasting has led to a tremendous
surge in research activities in the past decade. While ANNs provide a great deal of promise …

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 …

Wavelet networks are a class of neural networks consisting of wavelets. In this paper,
algorithms for wavelet network construction are proposed for the purpose of nonparametric …

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 …

Ultrafiltration (UF) using membranes with a small ratio of particle to pore diameter (PPD)
would be very desirable for energy saving. The nanoparticle (NP) retention efficiency of …

This brief proposes an adaptive neural sliding mode control method for trajectory tracking of
nonholonomic wheeled mobile robots with model uncertainties and external disturbances …

We discuss several aspects of the mathematical foundations of the nonlinear black-box
identification problem. We shall see that the quality of the identification procedure is always …

This paper presents an adaptive nonsingular terminal sliding mode (NTSM) tracking control
design for robotic systems using fuzzy wavelet networks. Compared with linear hyperplane …

Inspired by the theory of multiresolution analysis (MRA) of wavelet transforms and fuzzy
concepts, a fuzzy wavelet network (FWN) is proposed for approximating arbitrary nonlinear …

This paper proposes a wavelet adaptive backstepping control (WABC) system for a class of
second-order nonlinear systems. The WABC comprises a neural backstepping controller …