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A memory‐matrix‐based identification methodology for structural and mechanical systems
Author(s) -
Udwadia Firdaus E.,
Proskurowski Wlodek
Publication year - 1998
Publication title -
earthquake engineering and structural dynamics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.218
H-Index - 127
eISSN - 1096-9845
pISSN - 0098-8847
DOI - 10.1002/(sici)1096-9845(199812)27:12<1465::aid-eqe795>3.0.co;2-7
Subject(s) - identification (biology) , computer science , set (abstract data type) , matrix (chemical analysis) , system identification , algorithm , data mining , botany , materials science , composite material , biology , programming language , measure (data warehouse)
This paper uses an associative memory approach to identify the properties of structural and mechanical systems. The methodology differs from standard identification methods in that it uses a set of parameter vectors simultaneously to generate the estimated parameter vector. The method develops a technique for sequentially generating genetically engineered relevant parameter vectors whose use results in accurate identification, while still using small data sets. This makes the approach promising for on‐line, rapid, identification of structures and their health monitoring. © 1998 John Wiley & Sons, Ltd.