Model reduction of continuous-time stochastic linear control systems via bisimulation equivalence

Giordano Pola, Costanzo Manes, Arjan J. van der Schaft, Maria Domenica Di Benedetto

Research output: Contribution to conferencePaperAcademic

4 Citations (Scopus)

Abstract

In this paper we consider continuous-time stochastic linear control systems and propose model reduction techniques which are based on the notion of equivalence via stochastic bisimulation. Starting from our earlier work on equivalences given for discrete-time stochastic control systems we first extend the notion of stochastic bisimulation equivalence and the corresponding geometric conditions to the present framework. We then define the quotient linear systems induced by the equivalence notion and show that the obtained system is equivalent via stochastic bisimulation to the original one. We finally discuss model reduction to the system with minimal dimension in the state space.
Original languageEnglish
Pages6577-6582
Number of pages6
DOIs
Publication statusPublished - 2016
Event55th IEEE Conference on Decision and Control, CDC 2016 - Las Vegas, United States
Duration: 12-Dec-201614-Dec-2016

Conference

Conference55th IEEE Conference on Decision and Control, CDC 2016
Country/TerritoryUnited States
CityLas Vegas
Period12/12/201614/12/2016

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