Multi-objective differential evolution algorithm for stochastic system identification

Jin Zhou; Akira Mita; Rongshuai Li

doi:10.1117/12.2006578

19 April 2013 Multi-objective differential evolution algorithm for stochastic system identification

Jin Zhou, Akira Mita, Rongshuai Li

Proceedings Volume 8692, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2013; 86923G (2013) https://doi.org/10.1117/12.2006578
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2013, San Diego, California, United States

Abstract

The last decade has witnessed rapid developments in structural system identification methodologies based on intelligent algorithms, which are formulated as multi-modal optimization problems. However, these deterministic methods more or less ignore uncertainties, such as modeling errors and measurement errors, that are inevitably involved in the system identification problem of civil-engineering structures. A new stochastic structural identification method is proposed that takes into account parametric uncertainties in the parameters of building structures. The proposed method merges the advantages of the multi-objective differential evolution optimization algorithm for the non-domination selection strategy and the probability density evolution method for incorporating parametric uncertainties. The results of simulations on identifying the unknown parameters of a structural system demonstrate the feasibility and effectiveness of the proposed method.

Citation Download Citation

Jin Zhou, Akira Mita, and Rongshuai Li "Multi-objective differential evolution algorithm for stochastic system identification", Proc. SPIE 8692, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2013, 86923G (19 April 2013); https://doi.org/10.1117/12.2006578

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