Simulation of Higher-Order Electrical Circuits with Stochastic Parameters via SDEs

The paper deals with a technique for the simulation of higher-order electrical circuits with parameters varying randomly. The principle consists in the utilization of the theory of stochastic differential equations (SDE), namely the vector form of the ordinary SDEs. Random changes of both excitati...

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Main Authors: BRANCIK, L., KOLAROVA, E.
Format: Article
Language:English
Published: Stefan cel Mare University of Suceava 2013-02-01
Series:Advances in Electrical and Computer Engineering
Subjects:
Online Access:http://dx.doi.org/10.4316/AECE.2013.01003
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spelling doaj-0289584ca78f4936b7f294f9af5150882020-11-24T22:32:03ZengStefan cel Mare University of SuceavaAdvances in Electrical and Computer Engineering1582-74451844-76002013-02-01131172210.4316/AECE.2013.01003Simulation of Higher-Order Electrical Circuits with Stochastic Parameters via SDEsBRANCIK, L.KOLAROVA, E.The paper deals with a technique for the simulation of higher-order electrical circuits with parameters varying randomly. The principle consists in the utilization of the theory of stochastic differential equations (SDE), namely the vector form of the ordinary SDEs. Random changes of both excitation voltage and some parameters of passive circuit elements are considered, and circuit responses are analyzed. The voltage and/or current responses are computed and represented in the form of the sample means accompanied by their confidence intervals to provide reliable estimates. The method is applied to analyze responses of the circuit models of optional orders, specially those consisting of a cascade connection of the RLGC networks. To develop the model equations the state-variable method is used, afterwards a corresponding vector SDE is formulated and a stochastic Euler numerical method applied. To verify the results the deterministic responses are also computed by the help of the PSpice simulator or the numerical inverse Laplace transforms (NILT) procedure in MATLAB, while removing random terms from the circuit model.http://dx.doi.org/10.4316/AECE.2013.01003circuit noisecircuit simulationdifferential equationsstochastic processesstochastic systems
collection DOAJ
language English
format Article
sources DOAJ
author BRANCIK, L.
KOLAROVA, E.
spellingShingle BRANCIK, L.
KOLAROVA, E.
Simulation of Higher-Order Electrical Circuits with Stochastic Parameters via SDEs
Advances in Electrical and Computer Engineering
circuit noise
circuit simulation
differential equations
stochastic processes
stochastic systems
author_facet BRANCIK, L.
KOLAROVA, E.
author_sort BRANCIK, L.
title Simulation of Higher-Order Electrical Circuits with Stochastic Parameters via SDEs
title_short Simulation of Higher-Order Electrical Circuits with Stochastic Parameters via SDEs
title_full Simulation of Higher-Order Electrical Circuits with Stochastic Parameters via SDEs
title_fullStr Simulation of Higher-Order Electrical Circuits with Stochastic Parameters via SDEs
title_full_unstemmed Simulation of Higher-Order Electrical Circuits with Stochastic Parameters via SDEs
title_sort simulation of higher-order electrical circuits with stochastic parameters via sdes
publisher Stefan cel Mare University of Suceava
series Advances in Electrical and Computer Engineering
issn 1582-7445
1844-7600
publishDate 2013-02-01
description The paper deals with a technique for the simulation of higher-order electrical circuits with parameters varying randomly. The principle consists in the utilization of the theory of stochastic differential equations (SDE), namely the vector form of the ordinary SDEs. Random changes of both excitation voltage and some parameters of passive circuit elements are considered, and circuit responses are analyzed. The voltage and/or current responses are computed and represented in the form of the sample means accompanied by their confidence intervals to provide reliable estimates. The method is applied to analyze responses of the circuit models of optional orders, specially those consisting of a cascade connection of the RLGC networks. To develop the model equations the state-variable method is used, afterwards a corresponding vector SDE is formulated and a stochastic Euler numerical method applied. To verify the results the deterministic responses are also computed by the help of the PSpice simulator or the numerical inverse Laplace transforms (NILT) procedure in MATLAB, while removing random terms from the circuit model.
topic circuit noise
circuit simulation
differential equations
stochastic processes
stochastic systems
url http://dx.doi.org/10.4316/AECE.2013.01003
work_keys_str_mv AT brancikl simulationofhigherorderelectricalcircuitswithstochasticparametersviasdes
AT kolarovae simulationofhigherorderelectricalcircuitswithstochasticparametersviasdes
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