Model Predictive Vibration Control: Efficient Constrained MPC Vibration Control for Lightly Damped Mechanical Structures

Author:   Gergely Takács ,  Boris Rohaľ-Ilkiv
Publisher:   Springer London Ltd
Edition:   2012 ed.
ISBN:  

9781447160724


Pages:   518
Publication Date:   13 April 2014
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Model Predictive Vibration Control: Efficient Constrained MPC Vibration Control for Lightly Damped Mechanical Structures


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Author:   Gergely Takács ,  Boris Rohaľ-Ilkiv
Publisher:   Springer London Ltd
Imprint:   Springer London Ltd
Edition:   2012 ed.
Dimensions:   Width: 15.50cm , Height: 3.00cm , Length: 23.50cm
Weight:   0.842kg
ISBN:  

9781447160724


ISBN 10:   144716072
Pages:   518
Publication Date:   13 April 2014
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Gergely Takács is currently a junior research engineer at the Institute of Automation, Measurement and Applied Informatics of the Faculty of Mechanical Engineering of the Slovak University of Technology in Bratislava, where he received his PhD in mechatronics in 2009. His recent doctoral studies and academic career have been fully devoted to the application of computationally efficient model predictive controllers in the active vibration control of lightly damped structures. He has spent time as a visiting researcher in the Control Group of the Department of Engineering Science at the University of Oxford, where he has been studying efficient predictive control algorithms. His research interests include active vibration control, model predictive control and smart materials. Professor Boris Rohaľ-Ilkiv received his academic degrees from the Slovak University of Technology in Bratislava, the Faculty of Mechanical Engineering, where he currently works as a tenured professor. He has devoted the majority of his academic career to model predictive control, with special attention given to practical real-time controller implementation issues.

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