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
Link To Document :
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