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Identification and Control of Mechanical Systems

Hardback

Main Details

Title Identification and Control of Mechanical Systems
Authors and Contributors      By (author) Jer-Nan Juang
By (author) Minh Q. Phan
Physical Properties
Format:Hardback
Pages:352
Dimensions(mm): Height 244,Width 170
Category/GenreMechanical engineering
ISBN/Barcode 9780521783552
ClassificationsDewey:620.37
Audience
Tertiary Education (US: College)
Professional & Vocational
Illustrations 83 Line drawings, unspecified

Publishing Details

Publisher Cambridge University Press
Imprint Cambridge University Press
Publication Date 6 August 2001
Publication Country United Kingdom

Description

The control of vibrating systems is a significant issue in the design of aircraft, spacecraft, bridges, and high-rise buildings. This book discusses the control of vibrating systems, integrating structural dynamics, vibration analysis, modern control, and system identification. Integrating these subjects is an important feature in that engineers will need only one book, rather than several texts or courses, to solve vibration control problems. The book begins with a review of basic mathematics needed to understand subsequent material. Chapters then cover recent and valuable developments in aerospace control and identification theory, including virtual passive control, observer and state-space identification, and data-based controller synthesis. Many practical issues and applications are addressed, with examples showing how various methods are applied to real systems. Some methods show the close integration of system identification and control theory from the state-space perspective, rather than from the traditional input-output model perspective of adaptive control. This text will be useful for advanced undergraduate and beginning graduate students in aerospace, mechanical, and civil engineering, as well as for practising engineers.

Reviews

'The book's scope and coverage fills avoid in the area it set out to do in a very readable and instructional way.' International Journal of Robust Nonlinear Control