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Modeling and Control of Magnetic Fluid Deformable Mirrors for Adaptive Optics Systems

Modeling and Control of Magnetic Fluid Deformable Mirrors for Adaptive Optics Systems presents a novel design of wavefront correctors based on magnetic fluid deformable mirrors (MFDM) as well as corresponding control algorithms. The presented wavefront correctors are characterized by their linear, d...

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Detalles Bibliográficos
Autores principales: Wu, Zhizheng, Iqbal, Azhar, Ben Amara, Foued
Lenguaje:eng
Publicado: Springer 2013
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-642-32229-7
http://cds.cern.ch/record/1500358
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author Wu, Zhizheng
Iqbal, Azhar
Ben Amara, Foued
author_facet Wu, Zhizheng
Iqbal, Azhar
Ben Amara, Foued
author_sort Wu, Zhizheng
collection CERN
description Modeling and Control of Magnetic Fluid Deformable Mirrors for Adaptive Optics Systems presents a novel design of wavefront correctors based on magnetic fluid deformable mirrors (MFDM) as well as corresponding control algorithms. The presented wavefront correctors are characterized by their linear, dynamic response. Various mirror surface shape control algorithms are presented along with experimental evaluations of the performance of the resulting adaptive optics systems. Adaptive optics (AO) systems are used in various fields of application to enhance the performance of optical systems, such as imaging, laser, free space optical communication systems, etc. This book is intended for undergraduate and graduate students, professors, engineers, scientists and researchers working on the design of adaptive optics systems and their various emerging fields of application. Zhizheng Wu is an associate professor at Shanghai University, China. Azhar Iqbal is a research associate at the University of Toronto, Canada. Foued Ben Amara is an assistant professor at the University of Toronto, Canada.
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institution Organización Europea para la Investigación Nuclear
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publishDate 2013
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spelling cern-15003582021-04-22T00:01:11Zdoi:10.1007/978-3-642-32229-7http://cds.cern.ch/record/1500358engWu, ZhizhengIqbal, AzharBen Amara, FouedModeling and Control of Magnetic Fluid Deformable Mirrors for Adaptive Optics SystemsEngineeringModeling and Control of Magnetic Fluid Deformable Mirrors for Adaptive Optics Systems presents a novel design of wavefront correctors based on magnetic fluid deformable mirrors (MFDM) as well as corresponding control algorithms. The presented wavefront correctors are characterized by their linear, dynamic response. Various mirror surface shape control algorithms are presented along with experimental evaluations of the performance of the resulting adaptive optics systems. Adaptive optics (AO) systems are used in various fields of application to enhance the performance of optical systems, such as imaging, laser, free space optical communication systems, etc. This book is intended for undergraduate and graduate students, professors, engineers, scientists and researchers working on the design of adaptive optics systems and their various emerging fields of application. Zhizheng Wu is an associate professor at Shanghai University, China. Azhar Iqbal is a research associate at the University of Toronto, Canada. Foued Ben Amara is an assistant professor at the University of Toronto, Canada.Springeroai:cds.cern.ch:15003582013
spellingShingle Engineering
Wu, Zhizheng
Iqbal, Azhar
Ben Amara, Foued
Modeling and Control of Magnetic Fluid Deformable Mirrors for Adaptive Optics Systems
title Modeling and Control of Magnetic Fluid Deformable Mirrors for Adaptive Optics Systems
title_full Modeling and Control of Magnetic Fluid Deformable Mirrors for Adaptive Optics Systems
title_fullStr Modeling and Control of Magnetic Fluid Deformable Mirrors for Adaptive Optics Systems
title_full_unstemmed Modeling and Control of Magnetic Fluid Deformable Mirrors for Adaptive Optics Systems
title_short Modeling and Control of Magnetic Fluid Deformable Mirrors for Adaptive Optics Systems
title_sort modeling and control of magnetic fluid deformable mirrors for adaptive optics systems
topic Engineering
url https://dx.doi.org/10.1007/978-3-642-32229-7
http://cds.cern.ch/record/1500358
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