Principles of system identification : theory and practice /

Master Techniques and Successfully Build Models Using a Single Resource Vital to all data-driven or measurement-based process operations, system identification is an interface that is based on observational science, and centers on developing mathematical models from observed data. Principles of Syst...

Ausführliche Beschreibung

Gespeichert in:
1. Verfasser:
Tangirala, Arun K.
Format:
Elektronisch E-Book
Sprache:
Englisch
Veröffentlicht:
Boca Raton, FL : CRC Press, an imprint of Taylor and Francis, 2014.
Ausgabe:
1st edition
Zusammenfassung:
Master Techniques and Successfully Build Models Using a Single Resource Vital to all data-driven or measurement-based process operations, system identification is an interface that is based on observational science, and centers on developing mathematical models from observed data. Principles of System Identification: Theory and Practice is an introductory-level book that presents the basic foundations and underlying methods relevant to system identification. The overall scope of the book focuses on system identification with an emphasis on practice, and concentrates most specifically on discrete-time linear system identification.
Umfang:
1 online resource (881 p.)
text file
Anmerkungen:
"Presents the foundational pillars of identification, namely, the theory of discrete-time LTI systems, the basics of signal processing, the theory of random processes, and estimation theory."--Back cover.
Anmerkungen:
English
Bibliografie:
Includes bibliographical references (pages 814-828) and index.
ISBN:
9781040081174
1040081177
9781315222509
1315222507
9781439896020
143989602X
Schlagworte:
System identification.
Bezugswerke:
Links: