This paper presents a new formulation of extremum-seeking control for discrete-time Wiener– Hammerstein plants. A novel method of analysis using Linear Parameter-Varying (LPV) system theory demonstrates semi-global stability of the control scheme. Assuming only limited plant knowledge, the stability result ensures convergence of the plant output in steady state to a point in an arbitrarily smal...

in this research, data fusion (df) method was applied to simulate the hydrological process of taleghan reservoir daily inflow. two different df algorithms were proposed and assessed based on k-nearest neighbors (knn) algorithm. four artificial neural network models and two hammerstein-wiener (hw) models were used as the individual simulation models. comparison of the results between individual ...

This article deals with the black-box modeling of synchronous generators based on artificial neural networks (ANN). The ANN is applied to define relationship between excitation and terminal generator voltage values, Levenberg–Marquardt algorithm used for determining weight coefficients. relation made response reference step changes. proposed approach checked using experimental results obtained ...

In this work, a data-driven approach for the identification of piece-wise linear model nitrogen oxide daily concentration simulation is presented and applied. The has been identified by using measured concentrations, meteorological variables, emission levels estimated starting from results contained in suitable databases. We propose an innovative methodology that jointly optimizes clustering pa...