Please use this identifier to cite or link to this item:
|Title:||Output-error state-space identification of vibrating structures using evolution strategies: A benchmark study||Authors:||Dertimanis, Vasilis||Keywords:||Evolution strategy;Optimization;State-space;Structural identification||Category:||Civil Engineering;Civil Engineering||Field:||Engineering and Technology||Issue Date:||1-Jan-2014||Source:||Smart Structures and Systems, 2014, Volume 14, Issue 1, Pages 17-37||metadata.dc.doi:||10.12989/sss.2014.14.1.017||Abstract:||In this study, four widely accepted and used variants of Evolution Strategies (ES) are adapted and applied to the output-error state- spaceidentification problem. The selection of ES is justified by prior strong indication of superior performance to similar problems, over alternatives like Genetic Algorithms (GA) or Evolutionary Programming (EP). The ES variants that are being tested are (i) the (1+1)-ES, (ii) the (μ/δ+λ;)-SA-ES, (iii) the (μδ,λ)-SA-ES, and (iv) the (μw,λ)-CMA-ES. The study is based on asix-degree-of-freedom (DOF) structural model of a shear building that is characterized by light damping (up to 5%). The envisaged analysis is taking place through Monte Carlo experiments under two different excitation types (stationary / non-stationary) and the applied ES are assessed in terms of (i) accurate modal parameters extraction, (ii) statistical consistency, (iii) performance under noise-corrupted data, and (iv) performance under non-stationary data. The results of this suggest that ES are indeed competitive alternatives in the non-linear state-spaceestimation problem and deserve further attention.||URI:||http://ktisis.cut.ac.cy/handle/10488/9659||ISSN:||17381584||Rights:||© 2014 Techno-Press, Ltd.||Type:||Article|
|Appears in Collections:||Άρθρα/Articles|
Show full item record
Page view(s) 5068
checked on Dec 18, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.