State space suitable modelling of power semiconductors with ideal switches, resistors, constant voltage and current sources

Modeling switched circuits based on wavelet decomposition and neural networks

“…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].…”

“…The black-box approach is used to model nonlinear dynamical systems when the input-output quantities are known. Neural network (NN) is one of the well known black-box approach and used in many different disciplines such as modeling, analyzing and control [9,[13][14][15][16]. One of the problems which arise in modeling with NN is slow and difficult training.…”

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

“…As a result, the analysis of such circuits and systems has gained more importance and therefore, a lot of scientists have developed and published quite many analysis methods. One of these is the piecewise linearization approach and nonlinear components were modelled by linear time invariant components and ideal switches (Demir et al , 1996; Koksal, 1984). However, unlike the linear case, the operating conditions (switching sequence and switching time) of these switches are not preknown in nonlinear systems.…”