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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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Real-time implementation of adaptive feedback and feedforward generalized predictive control algorithm
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Structural Identification Using Inverse System Dynamics
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Optimized System Identification
Jer-Nan Juang,Richard W. Longman +1 more
TL;DR: A set of system identification algorithms that minimize output error for multi-input/multi-output and multi- input/single-output systems and eliminate the bias that is often observed using any system identification methods of either over-estimating or under-estimation the damping of vibration modes in lightly damped structures are developed.