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Applied system identification
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TLDR
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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An input/output-based procedure for fully evaluating and monitoring dynamic properties of structural systems via a subspace identification method
TL;DR: In this article, the stiffness matrix S and the damping matrix D were determined in a complete, unique manner using a subspace identification method, based on the observation that the conservation of mass of any part of a structural system implies that the mass matrix M of this system is constant and hence is given by its initial value.
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Extracting modal parameters of high-speed railway bridge using the TDD technique
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A State Space Formulation for Moving Loads Identification
Xinqun Zhu,Siu-Seong Law,J.Q. Bu +2 more
TL;DR: In this article, a new moving load identification method formulated in state space with regularization on the solution is presented, in which the bridge deck is modeled as an orthotropic rectangular plate, and the loads are modeled as a group of loads moving on top of a bridge deck at a fixed distance and at a constant speed.
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A modular instrument for exploring the mechanics of cardiac myocytes.
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