Title :
Box invariance for biologically-inspired dynamical systems
Author :
Abate, Alessandro ; Tiwari, Ashish ; Sastry, Shankar
Author_Institution :
Univ. of California, Berkeley, Berkeley
Abstract :
In this paper, motivated in particular by models drawn from biology, we introduce the notion of box invariant dynamical systems. We argue that box invariance, that is, the existence of a box-shaped positively invariant region, is a characteristic of many biologically-inspired dynamical models. Box invariance is also useful for the verification of stability and safety properties of such systems. This paper presents effective characterization of this notion for some classes of systems, computational results on checking box invariance, the study of the dynamical properties it subsumes, and a comparison with related concepts in the literature. The concept is illustrated using models derived from different case studies in biology.
Keywords :
biology; set theory; biologically-inspired dynamical systems; box invariance safety properties; box invariant dynamical systems; dynamical properties; Biological control systems; Biological system modeling; Biology computing; Computational biology; Computer science; Laboratories; Nonlinear systems; Safety; Stability; Systems biology;
Conference_Titel :
Decision and Control, 2007 46th IEEE Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
978-1-4244-1497-0
Electronic_ISBN :
0191-2216
DOI :
10.1109/CDC.2007.4434569