Application of hybrid genetic algorithm to system identification

Structural Control and Health Monitoring

Volumn 16, Issue 2, 2009, Pages 125-153

  Wang, Grace S ^a  

^a CHAOYANG UNIVERSITY OF TECHNOLOGY   (Taiwan)

Author keywords

Artificial intelligence; Gauss newton method; Genetic algorithm; System identification

Indexed keywords

ARTIFICIAL INTELLIGENCE; GENETIC ALGORITHMS; INFORMATION ANALYSIS; NEWTON-RAPHSON METHOD; OPTIMIZATION; PARALLEL ALGORITHMS; STRUCTURAL DYNAMICS; STRUCTURAL HEALTH MONITORING;

GAUSS-NEWTON METHOD; GLOBAL MINIMUM; GLOBAL SEARCH TECHNIQUES; GLOBAL SOLUTIONS; HIGHER ORDERS; HYBRID COMPUTATIONAL; HYBRID GENETIC ALGORITHMS; HYBRID IDENTIFICATIONS; IDENTIFICATION METHODS; INITIAL GUESS; LOCAL CONVERGENCES; LOCAL MINIMUMS; LOCAL SEARCH TECHNIQUES; MULTIPLE DEGREE OF FREEDOMS; MULTIPLE POINTS; NATURAL EVOLUTIONS; NATURAL PROCESS; NOISE CONTAMINATIONS; OBJECTIVE FUNCTIONS; OPTIMAL SOLUTIONS; OPTIMIZATION PROCEDURES; OPTIMIZATION TECHNIQUES; SEARCH METHODS; SEARCH STRATEGIES; SEARCH TOOLS; SINGLE DEGREE OF FREEDOMS; SYSTEM IDENTIFICATION; SYSTEM IDENTIFICATION PROBLEMS;

IDENTIFICATION (CONTROL SYSTEMS);

EID: 63049099729     PISSN: 15452255     EISSN: 15452263     Source Type: Journal    
DOI: 10.1002/stc.306     Document Type: Article

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