Stochastic hybrid systems models for performance and reliability analysis of power electronic systems

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Stochastic hybrid systems (SHS) are a class of stochastic processes with a state space composed of a discrete state and a continuous state. The transitions of the discrete state are random, and the rates at which these transitions occur are, in general, a function of the value of the continuous state. For each value that the discrete state takes - referred to subsequently as modes of the system - the evolution of the continuous state is described by a stochastic differential equation. The vector fields that govern the evolution of the continuous state in each mode depend on the operational characteristics of the system in that mode. Reset maps associated with mode transitions define how the discrete and continuous states map into posttransition discrete and continuous states.

Original languageEnglish (US)
Title of host publicationReliability of Power Electronic Converter Systems
PublisherInstitution of Engineering and Technology
Pages287-301
Number of pages15
ISBN (Electronic)9781849199025
ISBN (Print)9781849199018
DOIs
StatePublished - Jan 1 2016

Keywords

  • Continuous state
  • Differential equations
  • Discrete state
  • Hybrid power systems
  • Post-transition continuous state
  • Post-transition discrete state
  • Power electronic system performance
  • Power electronic system reliability analysis
  • Power electronics
  • Power system reliability
  • Stochastic differential equation
  • Stochastic hybrid system model
  • Stochastic processes

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Dhople, S. V., Krein, P. T., & Domínguez-García, A. D. (2016). Stochastic hybrid systems models for performance and reliability analysis of power electronic systems. In Reliability of Power Electronic Converter Systems (pp. 287-301). Institution of Engineering and Technology. https://doi.org/10.1049/PBPO080E_ch11