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Applied system identification
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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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Dissertation
Stabilization of Asymmetric Bilateral Teleoperation Systems with Time-Varying Delays
TL;DR: A novel control scheme for asymmetric bilateral teleoperation systems is developed based on linear models of the hardware with an upper bound on the time delay and linear matrix inequalities to prove that the system error is bounded between the manipulators.
Journal ArticleDOI
Global-Local Observer Markov Parameter Identification for System Realization
TL;DR: In this article, a global-local version of the observer/Kalman filter identification method was developed to overcome the problem of numerical ill-conditioning, data acquisition, and computer memory constraints.
Stochastic subspace system identification of a multi-story building
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Book ChapterDOI
Residual Whitening Method for Identification of Induction Motor System
Chien-Hsun Kuo,D.-M. Yang +1 more
TL;DR: This chapter identifies the induction motor system by residual whitening method which uses AutoRegressive Moving Average with eXogeneous input (ARMAX) model which is combined of ARX (AutoRegressive with e Xogeneous input) and MA (Moving-Average) models.
Estimation of impulse responses: a novel method and its use in experimental modal analysis
Edwin Reynders,Guido De Roeck +1 more
TL;DR: A novel method for the estimation of Impulse Response matrices from measured input-output data, called IRE (Impulse Response Estimation) is presented and it is shown that the method is strongly consistent under colored output noise.