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Volumn 36, Issue 16, 2003, Pages 711-716

Identification of fully parameterized linear and nonlinear state-space systems by projected gradient search

Author keywords

bilinear systems; maximum likelihood; nonlinear models; nonlinear programming; numerical algorithms; state space methods; System identification

Indexed keywords

IDENTIFICATION (CONTROL SYSTEMS); MAXIMUM LIKELIHOOD; NONLINEAR PROGRAMMING; NUMERICAL METHODS; PARAMETERIZATION; RELIGIOUS BUILDINGS; STATE SPACE METHODS;

EID: 85014178025     PISSN: 14746670     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1016/S1474-6670(17)34845-0     Document Type: Conference Paper
Times cited : (15)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.