Estimation of the disturbance structure from data using semidefinite programming and optimal weighting

Automatica

Volumn 45, Issue 1, 2009, Pages 142-148

  Rajamani, Murali R ^a   Rawlings, James B ^b  

^a BP Research and Technology ^*  (United States)

^b Wisconsin Electric Machines and Power Electronics Consortium   (United States)

Author keywords

Covariance estimation; Minimum independent disturbances; Minimum variance estimation; Semidefinite programming; State estimation

Indexed keywords

COMPUTATIONAL FLUID DYNAMICS; CURVE FITTING; DATA FUSION; DEMODULATION; ESTIMATION; KNOWLEDGE BASED SYSTEMS; LEAST SQUARES APPROXIMATIONS; OPTIMIZATION; STATE ESTIMATION;

COVARIANCE ESTIMATION; LEAST SQUARES METHODS; MINIMUM INDEPENDENT DISTURBANCES; MINIMUM VARIANCE ESTIMATION; MINIMUM VARIANCES; NECESSARY AND SUFFICIENT CONDITIONS; NOISE COVARIANCES; SEMIDEFINITE OPTIMIZATIONS; SEMIDEFINITE PROGRAMMING; SPACE MODELS; STATE ESTIMATORS; STOCHASTIC DISTURBANCES;

SENSOR DATA FUSION;

EID: 58049217305     PISSN: 00051098     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.automatica.2008.05.032     Document Type: Article

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