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.
KEY TOPICS: 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.
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.