Bayesian state estimation of nonlinear systems using approximate aggregate Markov chains

Industrial and Engineering Chemistry Research

Volumn 45, Issue 12, 2006, Pages 4208-4221

  Ungarala, Sridhar ^a   Chen, Zhongzhou ^a   Li, Keyu ^a  

^a Cleveland State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AGGREGATE MARKOV CHAINS; LINEAR GAUSSIAN SYSTEMS; NONLINEAR BAYESIAN ESTIMATION; PROBABILITY GRID FILTERS (PGF);

COMPUTER SIMULATION; MATHEMATICAL MODELS; MONTE CARLO METHODS; PROBABILITY; PROBABILITY DENSITY FUNCTION; STATISTICAL METHODS;

NONLINEAR SYSTEMS;

COMPUTER SIMULATION; MATHEMATICAL MODELS; MONTE CARLO METHODS; NONLINEAR SYSTEMS; PROBABILITY; PROBABILITY DENSITY FUNCTION; STATISTICAL METHODS;

EID: 33745667998     PISSN: 08885885     EISSN: None     Source Type: Journal    
DOI: 10.1021/ie050362l     Document Type: Article

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