Identification and Control of Mechanical Systems (häftad)
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Format
Häftad (Paperback)
Språk
Engelska
Antal sidor
352
Utgivningsdatum
2006-11-01
Upplaga
New ed
Förlag
Cambridge University Press
Medarbetare
Phan, Minh Q.
Illustrationer
83 line diagrams
Dimensioner
244 x 170 x 19 mm
Vikt
563 g
Antal komponenter
1
Komponenter
67:B&W 6.69 x 9.61 in or 244 x 170 mm (Pinched Crown) Perfect Bound on White w/Gloss Lam
ISBN
9780521031905

Identification and Control of Mechanical Systems

av Jer-Nan Juang
Häftad,  Engelska, 2006-11-01
623
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The control of vibrating systems is a significant issue in the design of aircraft, spacecraft, bridges and high-rise buildings. This 2001 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 more 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.
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'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

Innehållsförteckning

Preface; 1. Ordinary differential equations; 2. Elementary matrix algebra; 3. Modeling techniques; 4. Finite-element method; 5. Response of dynamic systems; 6. Virtual passive controllers; 7. State-space models; 8. State-feedback control; 9. Dynamic feedback controller; 10. System identification; 11. Predictive control; Bibliography; Suggested reading; Index.

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