Identification and Control of Mechanical Systems
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This book discusses both theory and applications in the control of vibrating systems.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 understa...
This book discusses both theory and applications in the control of vibrating systems.
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 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.
Review quote:
'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
Table of contents:
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.
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 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.
Review quote:
'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
Table of contents:
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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