Subspace identification of linear parameter-varying systems with innovation-type noise models driven by general inputs and a measurable white noise time-varying parameter vector

International Journal of Systems Science

Volumn 39, Issue 9, 2008, Pages 897-911

  Dos Santos, P Lopes ^a   Ramos, J A ^b   De Carvalho, J L Martins ^a  

^a UNIVERSITY OF PORTO   (Portugal)

^b UNIVERSITY OF WISCONSIN STOUT   (United States)

Author keywords

Identification; Linear parameter varying systems; Subspace identification

Indexed keywords

ALGORITHMS; APPROXIMATION ALGORITHMS; AUTOMATION; BOOLEAN FUNCTIONS; CONTROL THEORY; EIGENVALUES AND EIGENFUNCTIONS; INFORMATION THEORY; ITERATIVE METHODS; LINEAR SYSTEMS; MILITARY DATA PROCESSING; MIM DEVICES; PARAMETER ESTIMATION; STATE SPACE METHODS; TIME VARYING CONTROL SYSTEMS; TIME VARYING SYSTEMS; VECTORS; WHITE NOISE;

AUTOMATIC CONTROL; CURSE OF DIMENSIONALITY; DATA MATRICES; LINEAR PARAMETER-VARYING (LPV) SYSTEMS; LINEAR SUBSPACES; NEW ALGORITHM; NOISE MODELLING; STATE SPACES; STRENGTH (IGC: D5/D6); SUBSPACE IDENTIFICATION; SUBSPACE SYSTEM IDENTIFICATION; TIME-VARYING PARAMETERS;

IDENTIFICATION (CONTROL SYSTEMS);

EID: 47749129688     PISSN: 00207721     EISSN: 14645319     Source Type: Journal    
DOI: 10.1080/00207720802184741     Document Type: Conference Paper

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