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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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Fault tolerant controller design for large space structures
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Time-domain approach for multi-exciter random environment test
Song Cui,Huaihai Chen,Xu-dong He +2 more
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Hybrid enhanced continuous tabu search and genetic algorithm for parameter estimation in colored noise environments
TL;DR: A new hybrid algorithm combining intelligent optimization techniques, i.e. enhanced continuous tabu search (ECTS) and elitism based genetic algorithm (GA) is proposed and is applied to the parameter estimation problem and results show that the parameters estimated using the proposed algorithm is unbiased in the presence of colored noise.
Book ChapterDOI
Subspace identification for operational modal analysis
Edwin Reynders,Guido De Roeck +1 more
TL;DR: This chapter deals with the estimation of modal parameters from measured vibration data using subspace techniques, and the use of an exogenous force in addition to the unmeasured operational excitation.
Journal ArticleDOI
Signal denoising method for modal analysis of an offshore platform
TL;DR: It is found that the PEISVP-CE method is effective at eliminating noise and, therefore, appropriate for the modal analysis of offshore structures.