Recursive maximum likelihood parameter estimation for state space systems using polynomial chaos theory

Automatica

Volumn 47, Issue 11, 2011, Pages 2420-2424

  Pence, Benjamin L ^a   Fathy, Hosam K ^b   Stein, Jeffrey L ^a  

^a UNIVERSITY OF MICHIGAN   (United States)

^b The Pennsylvania State University   (United States)

Author keywords

Estimation theory; Identification methods; Linear Nonlinear models; Maximum likelihood; Polynomial chaos theory

Indexed keywords

DAMPING COEFFICIENTS; ESTIMATION PROBLEM; ESTIMATION THEORY; FILTERING METHOD; IDENTIFICATION METHODS; NON-LINEAR DYNAMIC SYSTEMS; POLYNOMIAL CHAOS; POLYNOMIAL CHAOS THEORY; RECURSIVE ESTIMATORS; RECURSIVE PARAMETER ESTIMATION; SIMULATION STUDIES; STATE SPACE SYSTEMS; TUNING PARAMETER; VAN DER POL OSCILLATOR;

CHAOTIC SYSTEMS; CIRCUIT OSCILLATIONS; COMPUTER SIMULATION; ESTIMATION; MAXIMUM LIKELIHOOD; MAXIMUM LIKELIHOOD ESTIMATION; NONLINEAR DYNAMICAL SYSTEMS; POLYNOMIALS;

PARAMETER ESTIMATION;

EID: 80053634604     PISSN: 00051098     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.automatica.2011.08.014     Document Type: Article

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