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
Structural Damage Identification and Location Using Grammian Matrices
Douglas Domingues Bueno,Clayton Rodrigo Marqui,Vicente Lopes,Michael J. Brennan,Daniel J. Inman +4 more
TL;DR: In this article, an approach using observability and controllability grammian matrices is proposed to determine if structural damage has occurred together with an estimate of its location, and simulations are carried out on a simple structure to demonstrate the method.
Book ChapterDOI
Robust Control of Vibrating Structures
TL;DR: This article gives a broad heuristic overview of some concepts in the application of robust control to flexible structures, including the modeling, analysis, and design of controllers and the sort of results that can be expected in a realistic setting for a flexible structure control problem, beyond single input/single output.
Performance Optimization of Onboard Lithium Ion Batteries for Electric Vehicles
TL;DR: The goal of this research is to accurately predict the battery behavior for the daily driving cycle and the prediction of battery behavior will help the driver to decide the optimum charging patterns, energy consumed during driving and the surplus energy available in the batteries.
Extension of OKID to Output-Only System Identification
TL;DR: This paper rigorously proves the applicability of the OKID approach to the output-only case, presents the resulting new algorithms and demonstrates them via a numerical example.