Discrete abstraction of multiaffine systems

Hui Kong*, Ezio Bartocci, Sergiy Bogomolov, Radu Grosu, Thomas A. Henzinger, Yu Jiang, Christian Schilling

*Corresponding author for this work

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

4 Citations (Scopus)

Abstract

Many biological systems can be modeled as multiaffine hybrid systems. Due to the nonlinearity of multiaffine systems, it is difficult to verify their properties of interest directly. A common strategy to tackle this problem is to construct and analyze a discrete overapproximation of the original system. However, the conservativeness of a discrete abstraction significantly determines the level of confidence we can have in the properties of the original system. In this paper, in order to reduce the conservativeness of a discrete abstraction, we propose a new method based on a sufficient and necessary decision condition for computing discrete transitions between states in the abstract system. We assume the state space partition of a multiaffine system to be based on a set of multivariate polynomials. Hence, a rectangular partition defined in terms of polynomials of the form (xi − c) is just a simple case of multivariate polynomial partition, and the new decision condition applies naturally. We analyze and demonstrate the improvement of our method over the existing methods using some examples.

Original languageEnglish
Title of host publicationHybrid Systems Biology - 5th International Workshop, HSB 2016, Proceedings
EditorsEugenio Cinquemani, Alexandre Donze
PublisherSpringer Verlag
Pages128-144
Number of pages17
ISBN (Print)9783319471501
DOIs
Publication statusPublished - 2016
Externally publishedYes
Event5th International Workshop on Hybrid Systems Biology, HSB 2016 - Grenoble, France
Duration: 20 Oct 201621 Oct 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9957 LNBI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference5th International Workshop on Hybrid Systems Biology, HSB 2016
Country/TerritoryFrance
CityGrenoble
Period20/10/1621/10/16

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