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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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Journal ArticleDOI

A State Space Method for Modal Identification of Mechanical Systems from Time Domain Responses

TL;DR: In this paper, a state space method for modal identification of a mechanical system from its time domain impulse or initial condition responses is presented, where the key step is the identification of the characteristic polynomial coefficients of an adjoint system.
Proceedings ArticleDOI

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TL;DR: In this paper, a Spline Varying Optimal (SVO) controller is developed for the kinematic nonlinear system, in which the spline function approximates the system model, observer, and controller gain.
Proceedings ArticleDOI

Identification of Piezomicropositioning Hammerstein Systems with Generalized Prandtl-Ishlinskii Hysteresis Nonlinearities

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Numerical Stability and Convergence Analysis of Geometric Constraint Enforcement in Dynamic Simulation Systems.

TL;DR: Experiments show that the new implicit constraint enforcement technique demonstrates a superior stability over large time steps and fast system response compared to the explicit Baumgarte method.