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

Analysis and performance of the control systems of the NASA 70-meter antennas

TL;DR: The analysis showed that the Autocollimator and Master Equatorial Encoder tracking modes are feasible for high-rate tracking, and that the latter mode has the smallest tracking error.

Post-harvest Fungal Spoilage of Maize Silage: Species, growth conditions and mycotoxin detection

TL;DR: The present knowledge on mycotoxins in silage is reviewed, focusing on grass and maize silage, including the occurrence of filamentous fungi preand postharvest, possible and confirmed mycot oxins insilage, toxicological concerns and means to prevent the problem.
Journal ArticleDOI

Time and frequency domain identification of seismically isolated structures: advantages and limitations

TL;DR: In this article, the authors investigated the effectiveness of widely used identification methods to identify the response of seismically isolated structures supported on bearings with bilinear behavior, and they showed that while both time domain and frequency domain methods predict with high accuracy the modal characteristics of structures isolated by linear isolation system, their performance degrades appreciably when the isolation system exhibits Bilinear behaviour even when its strength assumes moderate values (say 5% of the weight).
Proceedings ArticleDOI

GLOMAP Approach for Nonlinear System Identification of Aircraft Dynamics Using Flight Data

TL;DR: In this article, the Global-Local Mapping Approximation (GLM) algorithm is used for identifying nonlinear, six-degree-of-freedom rigid body aircraft dynamics.
Journal ArticleDOI

Robust Generalized Predictive Control with Uncertainty Quantification

TL;DR: The proposed method provides an innovative and efficient way to incorporate the quantified uncertainty in predictive control design with a linear process and is demonstrated by application to the Benchmark Active Controls Technology wind-tunnel model.