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Volumn 45, Issue 16 PART 1, 2012, Pages 191-196

A null-space-based technique for the estimation of linear-time invariant structured state-space representations

Author keywords

Convex optimization; Iterative methods; Parameterization; System identification

Indexed keywords

CONVEX OPTIMIZATION; IDENTIFICATION (CONTROL SYSTEMS); ITERATIVE METHODS; LINEAR TRANSFORMATIONS; MATRIX ALGEBRA; RELIGIOUS BUILDINGS; STATE SPACE METHODS;

EID: 84867057991     PISSN: 14746670     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3182/20120711-3-BE-2027.00075     Document Type: Conference Paper
Times cited : (20)

References (18)
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    • Ljung, L.1    Glad, T.2
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    • 84927739909 scopus 로고    scopus 로고
    • Subspace-based methods for continuous-time model identification of MIMO systems from filtered sampled data
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    • G. Mercère, R. Ouvrard, M. Gilson, and H. Gamier. Subspace-based methods for continuous-time model identification of MIMO systems from filtered sampled data. In Proceedings of the European Control Conference, Kos, Greece, July 2007.
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  • 12
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    • Initialization of gradient-based optimization algorithms for the identification of structured state-space models
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.