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Applied system identification
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In this paper, the authors introduce the concept of Frequency Domain System ID (FDSI) and Frequency Response Functions (FRF) for time-domain models, as well as Frequency-Domain Models with Random Variables and Kalman Filter.Abstract:
1. Introduction. 2. Time-Domain Models. 3. Frequency-Domain Models. 4. Frequency Response Functions. 5. System Realization. 6. Observer Identification. 7. Frequency Domain System ID. 8. Observer/Controller ID. 9. Recursive Techniques. Appendix A: Fundamental Matrix Algebra. Appendix B: Random Variables and Kalman Filter. Appendix C: Data Acquisition.read more
Citations
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Journal ArticleDOI
The effect of marine growth and damage severity on the modal parameters of offshore wind turbine supporting structures: an experimental study
TL;DR: In this article, the effect of marine growth and damage severity on the modal parameters of a scaled experimental model of a monopile used in supporting offshore wind turbines is investigated, especially when these parameters are used as damage indicators, further improving existing structural health monitoring techniques in determining if the changes observed in modality parameters are caused by actual damage rather than the growth of marine organisms with time.
Optimal Frequency-Domain System Realization with Weighting
Jer-Nan Juang,Peiman G. Maghami +1 more
TL;DR: Several approaches are presented to identify an experimental system model directly from frequency response data using an eigenvalue assignment technique and nonlinear programming methods to minimize the desired cost function.
What can we learn about the wolf phenomenon from a linearized analysis
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From traditional experimental modal analysis (ema) to operational modal analysis (oma), an overview
TL;DR: Major OMA procedures are presented based on the general framework, which offers a new perspective on understanding existing OMA techniques and possibility of exploring new ones and special issues of operational modal identification and challenges for OMA have been summarized.
Proceedings ArticleDOI
Modeling and motion control of inchworm considering nonlinearities
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