Reduced-order Unscented Kalman Filtering with application to parameter identification in large-dimensional systems

ESAIM - Control, Optimisation and Calculus of Variations

Volumn 17, Issue 2, 2011, Pages 380-405

  Moireau, Philippe ^a   Chapelle, Dominique ^a  

^a INRIA   (France)

Author keywords

Data assimilation; Filtering; Identification in PDEs; State and parameter estimation

Indexed keywords

CONTINUOUS TIME; DATA ASSIMILATION; DISCRETE TIME; DISCRETIZATIONS; FILTERING ALGORITHM; LUENBERGER OBSERVERS; NONLINEAR OPERATOR; OBSERVATION OPERATOR; REDUCED ORDER; REDUCED SIZE; REDUCED-ORDER FILTERING; SAMPLING POINTS; STATE AND PARAMETER ESTIMATION; STATE PARAMETER ESTIMATION; TANGENT OPERATORS; TEST PROBLEM; UNCERTAINTY SPACE; UNSCENTED KALMAN FILTERING;

ALGORITHMS; BIOMECHANICS; DATA PROCESSING; DYNAMICAL SYSTEMS; EQUATIONS OF STATE; ESTIMATION; IDENTIFICATION (CONTROL SYSTEMS); KALMAN FILTERS; MATHEMATICAL OPERATORS; PARTIAL DIFFERENTIAL EQUATIONS; STATE FEEDBACK; TEACHING;

PARAMETER ESTIMATION;

EID: 79960935182     PISSN: 12928119     EISSN: 12623377     Source Type: Journal    
DOI: 10.1051/cocv/2010006     Document Type: Article

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