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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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Journal ArticleDOI
Identification of pseudo-natural frequencies of an axially moving cantilever beam using a subspace-based algorithm
Kefu Liu,Liyan Deng +1 more
TL;DR: In this article, a subspace-based identification algorithm was proposed to make the algorithm less sensitive to measurement noise and a dynamic model was presented to show that lateral vibration of the axially moving cantilever beam is governed by a linear time-varying model.
Proceedings ArticleDOI
Development of Aeroservoelastic Analytical Models and Gust Load Alleviation Control Laws of a SensorCraft Wind-Tunnel Model Using Measured Data
Walter A. Silva,Eric Vartio,Anthony Shimko,Raymond G. Kvaternik,Kenneth W. Eure,Robert C. Scott +5 more
TL;DR: Aeroservoelastic (ASE) analytical models of a SensorCraft wind-tunnel model are generated using measured data in this article, where two time-domain system identification techniques are applied to the development of the ASE analytical models: impulse response (IR) method and generalized predictive control (GPC) method.
Journal ArticleDOI
On the selection of user-defined parameters in data-driven stochastic subspace identification
TL;DR: In this paper, the authors focus on the time domain output-only technique called Data-Driven Stochastic Subspace Identification (DD-SSI), in order to identify modal models (frequencies, damping ratios and mode shapes).
Journal ArticleDOI
MIMO LMS-ARMAX identification of vibrating structures. Part II : A critical assessment
TL;DR: A critical assessment of the MIMO (multiple-input multiple-output) LMS-ARMAX method is presented, along with comparisons with a pure ARX version and the Eigensystem Realisation Algorithm based upon two-input three-output vibration data obtained from a scale aircraft skeleton structure.
Journal ArticleDOI
Shaking table experimentation on adjacent structures controlled by passive and semi-active MR dampers
TL;DR: In this article, the results of shaking table tests on adjacent structures controlled by passive and semi-active MR dampers are presented, which demonstrate experimentally the effectiveness of active and passive strategies in reducing structural vibrations due to seismic excitation.