Bistable biological systems:: A characterization through local compact input-to-state stability

被引:62
作者
Chaves, Madalena [1 ]
Eissing, Thomas [2 ]
Allgoewer, Frank [2 ]
机构
[1] Ctr Rech Sophia Antipolis, INRIA, Project COMORE, F-06902 Sophia Antipolis, France
[2] Univ Stuttgart, Inst Syst Theory & Automat Control, D-70550 Stuttgart, Germany
关键词
biological networks; bistability; compact input-to-state stability (ISS);
D O I
10.1109/TAC.2007.911328
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Many biological systems have the capacity to operate in two distinct modes, in a stable manner. Topically, the system can switch from one stable mode to the other in response to a specific external input. Mathematically, these bistable systems are usually described by models that exhibit (at least) two distinct stable steady states. On the other hand, to capture biological variability, it seems more natural to associate to each stable mode of operation an appropriate invariant set in the state space rather than a single fixed point. A general formulation is proposed in this paper, which allows freedom in the form of kinetic interactions, and is suitable for establishing conditions on the existence of one or more disjoint forward-invariant sets for the given system. Stability with respect to each set is studied in terms of a local notion of input-to-state stability with respect to compact sets. Two well known systems that exhibit bistability are analyzed in this framework: the lac operon and an apoptosis network. For the first example, the question of designing an input that drives the system to switch between modes is also considered.
引用
收藏
页码:87 / 100
页数:14
相关论文
共 33 条
[1]   The topology of the regulatory interactions predicts the expression pattern of the segment polarity genes in Drosophila melanogaster [J].
Albert, R ;
Othmer, HG .
JOURNAL OF THEORETICAL BIOLOGY, 2003, 223 (01) :1-18
[2]   Detection of multistability, bifurcations, and hysteresis in a large class of biological positive-feed back systems [J].
Angeli, D ;
Ferrell, JE ;
Sontag, ED .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2004, 101 (07) :1822-1827
[3]  
[Anonymous], P 44 IEEE C DEC CONT
[4]   A unifying integral ISS framework for stability of nonlinear cascades [J].
Arcak, M ;
Angeli, D ;
Sontag, E .
SIAM JOURNAL ON CONTROL AND OPTIMIZATION, 2002, 40 (06) :1888-1904
[5]  
Arkin A, 1998, GENETICS, V149, P1633
[6]   Piecewise-linear models of genetic regulatory networks:: Equilibria and their stability [J].
Casey, R ;
de Jong, H ;
Gouzé, JL .
JOURNAL OF MATHEMATICAL BIOLOGY, 2006, 52 (01) :27-56
[7]   Methods of robustness analysis for Boolean models of gene control networks [J].
Chaves, M. ;
Sontag, E. D. ;
Albert, R. .
IEE PROCEEDINGS SYSTEMS BIOLOGY, 2006, 153 (04) :154-167
[8]   Input-to-state stability of rate-controlled biochemical networks [J].
Chaves, M .
SIAM JOURNAL ON CONTROL AND OPTIMIZATION, 2005, 44 (02) :704-727
[9]   Robustness and fragility of Boolean models for genetic regulatory networks [J].
Chaves, M ;
Albert, R ;
Sontag, ED .
JOURNAL OF THEORETICAL BIOLOGY, 2005, 235 (03) :431-449
[10]   State-estimators for chemical reaction networks of Feinberg-Horn-Jackson zero deficiency type [J].
Chaves, M ;
Sontag, ED .
EUROPEAN JOURNAL OF CONTROL, 2002, 8 (04) :343-359