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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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Proceedings ArticleDOI
Adaptive control for interior noise control in rocket fairings
TL;DR: In this article, an adaptive feedback control technique based on Q-parameterization is used to augment a fixed-gain controller with an adaptive FIR filter for adaptive disturbance estimation, by adjusting the FIR filter coefficients in realtime, the controller is able to adapt to time-varying sound pressure spectrums.
Journal ArticleDOI
Frequency Domain Modal Parameter Identification of High Order Systems in a Numerically Stable Way
TL;DR: In this article, the orthogonal polynomials in the frequency domain were used to increase the number of modes per analysis to as high as 75 in a comparatively wide frequency range of interest while still retaining numerical stability.
Dissertation
Attenuation of Turbulent Boundary Layer Induced Interior Noise Using Integrated Smart Foam Elements
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Real-time computer platform for vibration-based structural health monitoring of the Confederation Bridge
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