Open AccessBook
Applied system identification
Reads0
Chats0
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
More filters
Book
A Bayesian probabilistic approach to damage detection for civil structures
TL;DR: In this paper, a branch-and-bound search scheme is devised to expedite the search for the most likely damage event without exhaustively examining all possible damage cases, and load-dependent Ritz vectors are incorporated into the Bayesian framework.
Modal Extraction on a Diesel Engine in Operation
TL;DR: In this paper an output only modal testing and identification of a diesel engine is presented, the only loading on the engine is the unknown loading from the engine itself.
Journal ArticleDOI
An experiment-based frequency sensitivity enhancing control approach for structural damage detection
L. J. Jiang,Kon-Well Wang +1 more
TL;DR: Jiang et al. as mentioned in this paper proposed an experimental-based sensitivity-enhancing control approach for structural damage detection, which used mathematical models identified from experimental measurement data for controller design and system analysis, and hence eliminate the requirement of an accurate analytical model.
Journal ArticleDOI
Structural identification for post-earthquake safety analysis of the Fat i ̇ h mosque after the 17 August 1999 Kocael i ̇ earthquake
TL;DR: In this article, the authors presented the results of the structural identification of a historical structure damaged during the 17 August 1999 Kocaeli earthquake and cross-validated the structural models and methods to identify the reliable dynamic characteristics.
Journal ArticleDOI
Indirect identification of linear stochastic systems with known feedback dynamics
TL;DR: An algorithm is presented for identifying a state-space model of linear stochastic systems operating under known feedback controller operating under a dynamic or constant-gain full-state feedback controller.