Genetic-algorithm-based strategies for dynamic identification of nonlinear systems with noise-corrupted response

Journal of Computing in Civil Engineering

Volumn 24, Issue 2, 2010, Pages 173-187

  Monti, Giorgio ^a   Quaranta, Giuseppe ^a   Marano, Giuseppe Carlo ^b  

^a SAPIENZA UNIVERSITY OF ROME   (Italy)

^b POLITECNICO DI BARI   (Italy)

Author keywords

Identification; Nonlinear systems; System identification

Indexed keywords

ACCELERATION RESPONSE; BOUC WEN MODEL; COMPARATIVE STUDIES; CRITICAL ANALYSIS; DYNAMIC IDENTIFICATION; HIGH NOISE; HILBERT TRANSFORM; IDENTIFICATION TECHNIQUES; MICRO GENETIC ALGORITHM; MIGRATION STRATEGY; MULTI-SPECIES; NON-LINEAR SYSTEM IDENTIFICATION; OBJECTIVE FUNCTIONS; OPTIMIZATION PROBLEMS; OPTIMIZERS; PHYSICAL APPLICATION; REAL-CODED GENETIC ALGORITHM; SEARCH SPACE REDUCTION; STANDARD GENETIC ALGORITHM; SYSTEM IDENTIFICATIONS;

DYNAMIC RESPONSE; GENETIC ALGORITHMS; MATHEMATICAL OPERATORS; NONLINEAR SYSTEMS; SOFT COMPUTING;

COMPUTATIONAL EFFICIENCY;

EID: 77149147770     PISSN: 08873801     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)CP.1943-5487.0000024     Document Type: Article

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