DocumentCode
3049436
Title
Theoretical Analysis of Stochastic Parallel Gradient Descent Control Algorithm in Adaptive Optics
Author
Yang, Huizhen ; Li, Xinyang
Author_Institution
Sch. of Electron. Eng., Huaihai Inst. of Technol., Lianyungang, China
Volume
2
fYear
2009
fDate
19-21 May 2009
Firstpage
338
Lastpage
342
Abstract
We generalize the convergence, the stability and the averaged converging rate of stochastic parallel gradient descent algorithm when it is used as control algorithm for adaptive optics system in theory. Analysis results show the adaptive optics system can obtain convergence, stability and a factor of n /square root (n is the number of control parameters) speeding compared with sequential gradient descent techniques on making use of stochastic parallel gradient descent to control adaptive optics systems.
Keywords
adaptive optics; gradient methods; stability; stochastic systems; adaptive optics systems; sequential gradient descent techniques; stochastic parallel gradient descent control algorithm; Adaptive optics; Algorithm design and analysis; Control systems; Optical control; Optical distortion; Optical refraction; Optical sensors; Stability; Stochastic processes; Stochastic systems; adaptive optics; convergence; stability; stochastic parallel gradient descent;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems, 2009. GCIS '09. WRI Global Congress on
Conference_Location
Xiamen
Print_ISBN
978-0-7695-3571-5
Type
conf
DOI
10.1109/GCIS.2009.383
Filename
5209416
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