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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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Journal ArticleDOI

Decentralized Control of Sound Radiation from an Aircraft-Style Panel Using Iterative Loop Recovery

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Automated dynamic characteristics estimation of highway bridge under ambient vibration by block companion form realization

TL;DR: In this article, a 152m long Langer bridge and its dynamic characteristics were estimated automatically from multipoint measurement of ambient vibration by the block companion form realization theory, and the estimation accuracy was evaluated.
Proceedings ArticleDOI

Model synthesis weighting effects on model tuning in system identification

TL;DR: The impact of model synthesis weightings on model tuning results is examined and it is shown that an improved initial model for model tuning does not necessarily lead to faster model tuning or more accurate identified models.

Identification and Control of Structural Systems

TL;DR: An overview of the latest research and development is presented on structural system identification of damage detection devoted to reinforced concrete beams and steel-concrete composite beam-to-column joints under monotonic and cyclic lateral loads and a real-time compatible algorithm for an adaptive technique in view of the control of structural systems is introduced.

State-Space Models from CFD-Based Pulse Responses

TL;DR: In this article, a method for computing discrete-time state-space models of linearized unsteady aerodynamic behavior directly from aero-ela-tic CFD codes is presented.