System Identification An Introduction /

• Main Author: Keesman, Karel J. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: London : Springer London, 2011.
• Series: Advanced Textbooks in Control and Signal Processing,
• Subjects: Engineering.; System theory.; Control engineering.; Mechatronics.; Control.; Signal, Image and Speech Processing.; Systems Theory, Control.

System Identification: an Introduction shows the (student) reader how to approach the system identification problem in a systematic fashion. Essentially, system identification is an art of modelling, where appropriate choices have to be made concerning the level of approximation, given prior system’...

Table of Contents:

• Introduction
• Part I: Data-based Identification
• System Response Methods
• Frequency Response Methods
• Correlation Methods
• Part II: Time-invariant Systems Identification
• Static Systems Identification
• Dynamic Systems Identification
• Part III: Time-varying Systems Identification
• Time-varying Static Systems Identification
• Time-varying Dynamic Systems Identification
• Part IV: Model Validation
• Model Validation Techniques
• Part V: Appendices: Matrix Algebra; Statistics; Laplace, Fourier and z-Transforms; Bode Diagrams; Shift Operator Calculus; Recursive Least-squares Derivation; Dissolved Oxygen Data.