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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.

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Citations
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Modal parameter extraction of z24 bridge data.

TL;DR: In this article, the vibration data obtained from ambient, drop-weight, and shaker excitation tests of the Z24 bridge in Switzerland are analyzed to extract modal parameters such as natural frequencies, damping ratios, and mode shapes.
Journal ArticleDOI

Frequency-domain stable state-space system identification

TL;DR: In this paper, the authors proposed a model of a linear system from its frequency response data, which is based on a matrix fraction description of the transfer function matrix of the system from data, and obtained a state-space model through the Eigensystem Realization Algorithm.
Book ChapterDOI

Elaborations from the TKB Monitoring Database

TL;DR: Results reveal that the proposed method detects both frequencies and mode shapes despite the reduced number of sensors adopted, indicating that a reliable method such as the stochastic subspace identification implemented in a general-purpose software is presented.
Proceedings ArticleDOI

Experimental Study of the Dynamics of Synthetic Jet Actuators With Different Orifice Sizes

TL;DR: In this article, the dynamics of synthetic jet actuators with six different orifice sizes are experimentally investigated and a synthesis using system identification for the purpose of constructing mathematical models of these zero mass-flux actuators is offered.
Book

Rotorcraft Smoothing via Linear Time Periodic Methods

TL;DR: In this article, the Cramer-Rao bound is used to identify the quality of identified system parameters, which are used in system models for controller development, allowing model parameters can be verified for accuracy and likewise adjusted to improve controller accuracy.