A new kernel-based approach for system identification

Proceedings of the American Control Conference

Volumn , Issue , 2008, Pages 4510-4516

  De Nicolao, Giuseppe ^a   Pillonetto, Gianluigi ^b  

^a UNIVERSITY OF PAVIA   (Italy)

^b UNIVERSITY OF PADOVA   (Italy)

Author keywords

Bayesian estimation; Gaussian processes; Kernel based methods; Linear system identification; Regularization; Robust identification; Stochastic embedding

Indexed keywords

BANACH SPACES; HILBERT SPACES; IMPULSE RESPONSE; LINEAR SYSTEMS; SPECTRUM ANALYZERS;

BAYESIAN ESTIMATION; BIAS ERROR; BIBO-STABILITY; CONTINUOUS FUNCTIONS; GAUSSIAN PROCESSES; KERNEL-BASED APPROACH; KERNEL-BASED METHODS; LINEAR SYSTEM IDENTIFICATION; REDUCED ORDER MODELLING; REGULARIZATION; REPRODUCING KERNEL HILBERT SPACES; ROBUST IDENTIFICATION; SPECTRAL CHARACTERIZATION; STOCHASTIC EMBEDDING; SYSTEM IDENTIFICATION; VARIANCE ESTIMATES;

IDENTIFICATION (CONTROL SYSTEMS);

EID: 52449131127     PISSN: 07431619     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ACC.2008.4587206     Document Type: Conference Paper

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