Applied System Identification, 1st edition

  • JerNan Juang

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System identification is the process of developing or improving a mathematical representation of a physical system using experimental data. Over the past decade, several system identification techniques have been developed within different disciplines. This text/reference brings together the significant advances over the past decade into a single unified source — with common mathematical notation that will enable readers from a variety of engineering areas — e.g., aerospace, electrical, civil, and mechanical engineering —to apply system identification to engineering systems.
Focuses on the three types of identification in engineering structures — modal parameter identification; structural-model parameter identification; and control-model identification. MARKET: For researchers and engineers, students, and teachers in vibrations, controls and system identification.

Table of contents

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.

Published by Pearson (November 15th 1993) - Copyright © 1994