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Volumn , Issue , 2009, Pages 336-341

Subspace based Fault detection and Identification for LPV systems

Author keywords

Fault detection and estimation; Linear parameter varying system (LPV); Moving horizon estimation; Parity space analysis; Unbiasedness

Indexed keywords

LINEAR SYSTEMS; MARKOV PROCESSES; OBSERVABILITY; PARAMETER ESTIMATION; STATE SPACE METHODS; VECTOR SPACES; VECTORS;

EID: 79953156855     PISSN: 14746670     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3182/20090630-4-es-2003.00056     Document Type: Conference Paper
Times cited : (11)

References (19)
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    • Subspace based fault detection and identification for LTI systems
    • accepted for publication
    • J. Dong and M. Verhaegen. Subspace based fault detection and identification for LTI systems. accepted for publication in the Proceedings of SafeProcess'09, 2008.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.