A measure-theoretic proof of the Markov property for hybrid systems with Markovian inputs

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

The behavior of a general hybrid system in discrete time can be represented by a non-linear difference equation x(k + 1) = Fk(x(k), thetas(k)), where thetas(k) is assumed to be a finite state Markov chain. An important step in the stability analysis of these systems is to establish the Markov property of (x(k), thetas(k)). There are, however, no complete proofs of this property which are simple to understand. This paper aims to correct this problem by presenting a complete and explicit proof, which uses only basic measure-theoretical concepts
Original languageEnglish
Title of host publication2006 Proceeding of the Thirty-Eighth Southeastern Symposium on System Theory
PublisherInstitute of Electrical and Electronics Engineers
Pages328-332
Number of pages5
ISBN (Print)0-7803-9457-7
DOIs
Publication statusPublished - 18 Apr 2006
Externally publishedYes
Event38th Southeastern Symposium on System Theory, SSST 2006 - Cookeville, United States
Duration: 5 Mar 20067 Mar 2006
Conference number: 38
http://ieeecss.org/event/38th-southeastern-symposium-system-theory

Conference

Conference38th Southeastern Symposium on System Theory, SSST 2006
Abbreviated titleSSST 2006
Country/TerritoryUnited States
CityCookeville
Period5/03/067/03/06
Internet address

Keywords

  • Stability analysis
  • Random variables
  • Difference equations
  • Markov processes
  • Linear systems
  • Kernel
  • Particle measurements
  • Algebra

Fingerprint

Dive into the research topics of 'A measure-theoretic proof of the Markov property for hybrid systems with Markovian inputs'. Together they form a unique fingerprint.

Cite this