Applied System Identification

Author:   Jer-Nan Juang
Publisher:   Pearson Education (US)
ISBN:  

9780130792112


Pages:   416
Publication Date:   01 December 1993
Format:   Paperback
Availability:   In Print   Availability explained
Limited stock is available. It will be ordered for you and shipped pending supplier's limited stock.

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Applied System Identification


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Overview

This text and reference aims to bring together recent significant advances in system identification techniques within different disciplines. It employs common mathematical notation, to enable readers from a variety of engineering areas - aerospace, electrical, civil and mechanical - to apply system identification to engineering systems. The book focuses on the three main types of identification: structural-model parameter; model parameter; and control-model.

Full Product Details

Author:   Jer-Nan Juang
Publisher:   Pearson Education (US)
Imprint:   Prentice Hall
Dimensions:   Width: 18.00cm , Height: 2.00cm , Length: 24.20cm
Weight:   0.760kg
ISBN:  

9780130792112


ISBN 10:   013079211
Pages:   416
Publication Date:   01 December 1993
Audience:   College/higher education ,  Tertiary & Higher Education
Format:   Paperback
Publisher's Status:   Out of Print
Availability:   In Print   Availability explained
Limited stock is available. It will be ordered for you and shipped pending supplier's limited stock.

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Author Information

Jer-Nan Juang (Ph.D., Virginia Polytechnic Institute and State University) is Principal Scientist in the Spacecraft Dynamics Branch, NASA Langley Research Center, and adjunct professor, George Washington University. He is the author of over 180 publications, including over 60 archival journal papers, and is the recipient of several NASA Outstanding Performance, Special Achievement, and Technical Excellence Awards. He currently coordinates joint technical activities with other Langley and NASA organizations, other Government agencies, and industry/universities on a national and international basis. He conducts personal analytical and experimental research in the fields of mechanical designs, controller designs and system identification for control of flexible structures including Robotics.

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