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
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.
ISSN: 17381584
Rights: © 2014 Techno-Press, Ltd.
Type: Article
Appears in Collections:Άρθρα/Articles

Show full item record

Page view(s) 50

Last Week
Last month
checked on Jun 12, 2019

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.