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BRANČÍK, L. KOLÁŘOVÁ, E.
Original Title
Simulation of Multiconductor Transmission Lines with Random Parameters via Stochastic Differential Equations Approach.
Type
journal article in Web of Science
Language
English
Original Abstract
This article addresses a method for the simulation of multiconductor transmission lines (MTLs) with fluctuating parameters based on the theory of stochastic differential equations (SDEs). Specifically, confidence intervals of an MTL models stochastic responses are effectively evaluated. First, the MTLs deterministic model with lumped parameters, based on generalized PI sections connected in cascade, is formulated and described through a state variable method, which results in a vector ordinary differential equation (ODE) in the time domain. A vector SDE is then developed by incorporating the respective stochastic processes into its deterministic counterpart. Next, the first two moments of the stochastic processes are calculated via the solution of respective Lyapunov-like ODEs, to assess expectations and the variances of stochastic responses, and also to determine relevant confidence intervals. A statistical processing of individual stochastic trajectories is used to validate the results.
Keywords
multiconductor transmission line; random parameter; stochastic differential equation; variance; confidence interval; MATLAB
Authors
BRANČÍK, L.; KOLÁŘOVÁ, E.
Released
1. 6. 2016
Publisher
SAGE Publishing
Location
London, United Kingdom
ISBN
0037-5497
Periodical
SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL
Year of study
92
Number
6
State
United Kingdom of Great Britain and Northern Ireland
Pages from
521
Pages to
533
Pages count
13
URL
http://sim.sagepub.com/content/92/6/521.full.pdf?ijkey=0hH1aBawL74zJaX&keytype=finite
BibTex
@article{BUT125050, author="Lubomír {Brančík} and Edita {Kolářová}", title="Simulation of Multiconductor Transmission Lines with Random Parameters via Stochastic Differential Equations Approach.", journal="SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL", year="2016", volume="92", number="6", pages="521--533", doi="10.1177/0037549716645198", issn="0037-5497", url="http://sim.sagepub.com/content/92/6/521.full.pdf?ijkey=0hH1aBawL74zJaX&keytype=finite" }