TY - GEN
T1 - Discrete abstraction of multiaffine systems
AU - Kong, Hui
AU - Bartocci, Ezio
AU - Bogomolov, Sergiy
AU - Grosu, Radu
AU - Henzinger, Thomas A.
AU - Jiang, Yu
AU - Schilling, Christian
N1 - Publisher Copyright:
© Springer International Publishing AG 2016.
PY - 2016
Y1 - 2016
N2 - 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.
AB - 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.
KW - Discrete abstraction
KW - Gröbner basis
KW - Hybrid system
KW - Multiaffine system
KW - State space partition
UR - http://www.scopus.com/inward/record.url?scp=84992688756&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-47151-8_9
DO - 10.1007/978-3-319-47151-8_9
M3 - Conference contribution
SN - 9783319471501
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 128
EP - 144
BT - Hybrid Systems Biology - 5th International Workshop, HSB 2016, Proceedings
A2 - Cinquemani, Eugenio
A2 - Donze, Alexandre
PB - Springer Verlag
T2 - 5th International Workshop on Hybrid Systems Biology, HSB 2016
Y2 - 20 October 2016 through 21 October 2016
ER -