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Volumn 15, Issue 1, 2002, Pages 247-252

A new minimal local parametrization for multivariable linear systems

Author keywords

Identification algorithms; Linear multivariable systems; Parametrization; State space realization; System identification

Indexed keywords

AUTOMATION; IDENTIFICATION (CONTROL SYSTEMS); IMPULSE RESPONSE; LINEAR SYSTEMS; MULTIVARIABLE SYSTEMS;

EID: 84945581246     PISSN: 14746670     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3182/20020721-6-es-1901.00452     Document Type: Conference Paper
Times cited : (1)

References (14)
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    • Fully parametrized state-space models in system identification
    • Copenhagen, Denmark
    • McKelvey, T. (1994). Fully parametrized state-space models in system identification. In: Proc. of the 10th IFAC Symposium on System Identification. Vol. 2. Copenhagen, Denmark. pp. 373-378.
    • (1994) Proc. of the 10th IFAC Symposium on System Identification , vol.2 , pp. 373-378
    • McKelvey, T.1
  • 10
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    • McKelvey, T. and A. Helmersson (1996). Statespace parametrizations of multivariable linear systems using tridiagonal matrix forms. In: Proc. 35th IEEE Conference on Decision and Control. Kobe, Japan. pp. 3654-3659.
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    • McKelvey, T. and A. Helmersson (1997). System identification using an over-parametrized model class - improving the optimization algorithm. In: Proc. 36th IEEE Conference on Decision and Control. San Diego, California, USA. pp. 2984-2989.
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  • 12
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    • A dynamic minimal parametrization of multivariable linear systems and its applications to optimization and system identification
    • (H.F. Chen and B. Wahlberg, Eds.) Elsevier Science
    • McKelvey, T. and A. Helmersson (1999). A dynamic minimal parametrization of multivariable linear systems and its applications to optimization and system identification. In: Preprints of the 14th World Congress of IFAC, Beijing, P. R. China (H.F. Chen and B. Wahlberg, Eds.). Vol. H. Elsevier Science. pp. 7-12.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.