Parameter identification for stochastic hybrid systems using randomized optimization: A case study on subtilin production by Bacillus subtilis

Nonlinear Analysis: Hybrid Systems

Volumn 2, Issue 3, 2008, Pages 786-802

  Koutroumpas, Konstantinos ^a   Cinquemani, Eugenio ^a   Kouretas, Panagiotis ^b   Lygeros, John ^a  

^a ETH ZURICH   (Switzerland)

^b HARVARD UNIVERSITY   (United States)

Author keywords

Biochemical networks; Parameter identification; Randomized optimization; Stochastic hybrid models; Subtilin production

Indexed keywords

(001) PARAMETER; (MIN ,MAX ,+) FUNCTIONS; B. SUBTILIS; BACILLUS SUBTILIS (BS2); CASE STUDIES; ELSEVIER (CO); EXPERIMENTAL DATA; FITTING PARAMETERS; HYBRID MODEL (HM); IDENTIFIABILITY; MARKOV CHAIN MONTE CARLO (MCMC) APPROACH; PARAMETER IDENTIFICATIONS; PARAMETER VALUES; SIMULATED MODEL; SIMULATION-BASED; STOCHASTIC HYBRID SYSTEMS (SHS); SUBTILIN;

AEROSPACE APPLICATIONS; ANTIBIOTICS; BACTERIOLOGY; EVOLUTIONARY ALGORITHMS; HEALTH; HYBRID SENSORS; MARKOV PROCESSES; MATHEMATICAL MODELS; MODEL STRUCTURES; PARAMETER ESTIMATION; STEEL ANALYSIS; STOCHASTIC MODELS; STOCHASTIC PROGRAMMING;

IDENTIFICATION (CONTROL SYSTEMS);

EID: 45249124485     PISSN: 1751570X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.nahs.2007.11.009     Document Type: Article

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