Global stability analysis and robust design of multi-time-scale biological networks under parametric uncertainties

Neural Networks

Volumn 22, Issue 5-6, 2009, Pages 658-663

  Meyer Baese, Anke ^a   Koshkouei, Ali J ^b   Emmett, Mark R ^c   Goodall, David P ^b  

^a FLORIDA STATE UNIVERSITY   (United States)

^b Institute for Clean Growth and Future Mobility   (United Kingdom)

^c FLORIDA STATE UNIVERSITY   (United States)

Author keywords

Multi time scale neural network; Parametric uncertainties; Regulatory gene network; Robust stability

Indexed keywords

BIOLOGICAL NETWORKS; COUPLED SYSTEMS; EXTERNAL NOISE; FAST STATE; GENE REGULATORY NETWORKS; GLOBAL STABILITY ANALYSIS; INTERNAL FLUCTUATION; MULTI-TIME-SCALE NEURAL NETWORK; NETWORK DESIGN; NOMINAL LINEAR SYSTEMS; NONLINEAR DIFFERENTIAL SYSTEMS; NONLINEAR PERTURBATIONS; PARAMETRIC UNCERTAINTIES; REGULATORY GENE NETWORK; ROBUST DESIGNS; ROBUST STABILITY; ROBUST SYSTEM DESIGN; THEORETICAL FRAMEWORK; TIME-SCALES; UNIFORM ATTRACTOR; UPPER BOUND;

BIOLOGICAL SYSTEMS; DIFFERENTIAL EQUATIONS; LINEAR SYSTEMS; LYAPUNOV FUNCTIONS; NEURAL NETWORKS; UNCERTAINTY ANALYSIS;

SYSTEM STABILITY;

ANALYTIC METHOD; ANALYTICAL PARAMETERS; ARTICLE; BIOSYNTHESIS; CONCEPTUAL FRAMEWORK; GENE REGULATORY NETWORK; MATHEMATICAL ANALYSIS; MATHEMATICAL COMPUTING; MATHEMATICAL PARAMETERS; NERVE CELL NETWORK; NONLINEAR SYSTEM; PRIORITY JOURNAL;

ALGORITHMS; COMPUTER SIMULATION; ESCHERICHIA COLI; GENE REGULATORY NETWORKS; HEAT-SHOCK PROTEINS; MEMORY, SHORT-TERM; MODELS, BIOLOGICAL; NEURAL NETWORKS (COMPUTER); NEURONS; NONLINEAR DYNAMICS; TIME FACTORS; UNCERTAINTY;

EID: 68149148921     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neunet.2009.06.051     Document Type: Article

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