Modelling and simulation with neural and fuzzy‐neural networks of switched circuits

Abstract

Recently, the modelling and simulation of switched systems containing new nonlinear components in electronics and power electronics industry have gained importance. In this paper, both feed-forward artificial neural networks (ANN) and adaptive network-based fuzzy inference systems (ANFIS) have been applied to switched circuits and systems. Then their performances have been compared in this contribution by developed simulation programs. It has been shown that ANFIS require less training time and offer better performance than those of ANN. In addition, ANFIS using "clustering algorithm" to generate the rules and the numbers of membership functions gives a smaller number of parameters, better performance and less training time than those of ANFIS using "grid partition" to generate the rules. The work not only demonstrates the advantage of the ANFIS architecture using clustering algorithm but also highlights the advantages of the architecture for hardware realizations.

Modeling switched circuits based on wavelet decomposition and neural networks

“…[1] used bond graph approach for modeling and analyzing switching circuits and [10] used neural and fuzzyneural networks approaches for modeling and simulating of switched circuits, both of them had obtained desired performances. The aim of this study is to present the usage of wavelet for decomposing SCs signals and modeling SCs by composed signals.…”

“…1 is considered. It was used in [5,10] as an example switched circuit. For this circuit, V c is determined as system output and this circuit has four system states.…”

“…In [1], the formulation of state and output equations and solutions of switched-systems were presented by using bond graph model with a new simple and more general switch definition. In [10] they were realized a study for modeling and simulating switched circuits by using artificial neural network and adaptive network based fuzzy inference systems. Wavelet transform also used in nonlinear analysis [7].…”

“…In the last few decades, many researchers have studied about computer methods for analysis and design of nonlinear systems [5][6][7][8]. One of these methods is piecewise linearization, in these methods nonlinear components in the circuits or systems are changed with their equivalent linear time invariant component or equivalent ideal linear switches [6][7][8][9][10][11]. For analyzing switched circuits, time domain and frequency domain methods were also studied [3,12].…”

Teaching human gestures to humanoid robots by using Kinect sensor

“…Bu da insan hareketlerini izleme, tanıma, öğrenme ve gerçekleştirme gibi yeteneklerin robotlara kazandırılması ile mümkündür. Özellikle YSA [1], Bulanık Mantık [2], Destek Vektör Makinaları (DVM) [3,4] ve AÖM gibi teknikler, insan hareketlerinin tanınması ve izlemesinde sıkça tercih edilen yöntemlerdendir [5][6][7][8][9].…”