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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
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Computational Simplification in Calculating the Null Spaces of Matrices with a Large Number of Columns
TL;DR: This paper presents a procedure for simplifying the computation needed to calculate the null spaces of matrices with a large number of columns using the proposed algorithm based on the idea of calculating thenull spaces of a sequence of smaller matrices obtained from the original matrix.
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Analyse modale directe de type sous-espace à partir de données d'accélération
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Nonlinear system identification of discrete systems using GLO-MAP
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Identification and health monitoring of an instrumented building using earthquake response data
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System identification and interval analysis of the Green Bank Telescope structure and servo system
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