DocumentCode :
434030
Title :
Balanced identification and model reduction of a separable denominator 2-D system
Author :
Treasure, R. ; Sreeram, V. ; Ngan, K.N.
Author_Institution :
Sch. of Electr., Electron. & Comput. Eng., Western Australia Univ., Nedlands, WA, Australia
Volume :
3
fYear :
2004
fDate :
20-23 July 2004
Firstpage :
2048
Abstract :
An identification and model reduction algorithm for linear discrete time invariant (LTDI) 2-D systems is proposed. A causal recursive separable denominator (CRSD) model structure is used. This allows for the 2-D system to be modeled as two independent 1-D systems. The system is then identified by extending the 1-D system identification Kung´s algorithm. Reduced order models are obtained by singular value decomposition (SVD) of the 2-D impulse response data. These are shown to converge to a balanced realization.
Keywords :
discrete time systems; identification; linear systems; reduced order systems; singular value decomposition; Kung algorithm; balanced identification; causal recursive separable denominator model structure; impulse response; linear discrete time invariant 2D system; model reduction algorithm; separable denominator; singular value decomposition; Control system analysis; Control system synthesis; Controllability; Mathematical model; Observability; Reduced order systems; Singular value decomposition; Stability; State-space methods; System identification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference, 2004. 5th Asian
Conference_Location :
Melbourne, Victoria, Australia
Print_ISBN :
0-7803-8873-9
Type :
conf
Filename :
1426942
Link To Document :
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