Modeling and Control of Magnetic Fluid Deformable Mirrors for Adaptive Optics Systems is popular PDF and ePub book, written by Zhizheng Wu in 2012-10-22, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Modeling and Control of Magnetic Fluid Deformable Mirrors for Adaptive Optics Systems can be Read Online from any device for your convenience.

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

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.

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

Modeling and Control of Magnetic Fluid Deformable Mirrors for Adaptive Optics Systems
  • Author : Zhizheng Wu
  • Release : 22 October 2012
  • Publisher : Springer Science & Business Media
  • ISBN : 9783642322297
  • Genre : Technology & Engineering
  • Total Page : 323 pages
  • Language : English
  • PDF File Size : 8,9 Mb

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