scispace - formally typeset
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
Journal ArticleDOI

Active vibration control of trim panel using a hybrid controller to regulate sound transmission

TL;DR: In this article, a hybrid feed-forward/feedback control technique is proposed to minimize the vibration of a trim panel that has a limited piston-like motion, which increases the damping capacity of the secondary plant to augment the convergence rate of the adaptive feedforward controller.
Proceedings ArticleDOI

Markov-parameter-based adaptive control of 3-axis angular velocity in a six-degree-of-freedom stewart platform

TL;DR: In this article, the problem of three-degree-of-freedom angular-velocity command following on a Stewart platform is analyzed, and a closed-loop setup for adaptive command-following control is described.
Proceedings ArticleDOI

Performance of an observer state-space identification in the presence of mild nonlinearities

TL;DR: In this paper, the authors examine how the system parameters identified by the ERA-OKID algorithm vary as nonlinearity is introduced in the system that generates the response data, and the difference between the response predicted with the realization obtained from the early portion and the computed response is explored as a potential source of information in characterizing the nonlinear behavior.
Journal ArticleDOI

Identification of the bending stiffness matrix of symmetric laminates using regressive discrete Fourier series and finite differences

TL;DR: In this paper, the elastic constants of composite materials can be identified using modal analysis and numerical methods, but the method requires numerical spatial derivatives of experimental mode shapes, which are highly sensitive to noise.
Proceedings ArticleDOI

Spatial Processing of Urban Acoustic Wave Fields from High-Performance Computations

TL;DR: The spatial processing of urban acoustic wave fields from high-performance computations produces broadly useful measures for understanding and modeling urban wave propagation.