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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
Closed-loop identification of unstable systems using noncausal FIR models
TL;DR: It is shown that FIR models can be used effectively for closed-loop identification of open-loop-unstable plants and are motivated by the potential advantages of FIR model structures.
Proceedings ArticleDOI
Time Varying Covariance Equivalent Realizations
TL;DR: An approach to derive discrete time varying plant models directly from the data using the Q-Markov Covariance equivalent system realizations from input-output experimental data is developed.
Book ChapterDOI
Partition-Matrix Theory Applied to the Computation of Generalized-Inverses for MIMO Systems in Rayleigh Fading Channels
TL;DR: An interesting approach arises whenever Partition-Matrix Theory and Generalized-Inverse are combined together yielding attractive solutions for solving the problem of block matrix inversion.
Journal ArticleDOI
Identification of transport processes in column experiments using a frequency domain approach.
Xiufu Shuai,Russell Yost +1 more
TL;DR: Stepped sine signals were proposed to replace the rectangular pulse because their amplitude and passband can be independently chosen and were found to be more robust and accurate in process identification than that of a rectangular pulse.