DocumentCode :
2323051
Title :
A New Method Based on Kalman Filtering Theory for Solving Two Point Boundary Value Problems
Author :
Dang, Zhaohui ; Zhang, Yulin
Author_Institution :
Coll. of Aerosp. & Mater. Eng., Nat. Univ. of Defense Technol., Changsha, China
fYear :
2011
fDate :
10-12 Oct. 2011
Firstpage :
309
Lastpage :
312
Abstract :
This paper describes a simple and efficient approach to the two point boundary value problem. This approach based on the Kalman filtering theory has an ingenious iteration form. The calculated results are in excellent agreement with exact solutions. Some examples indicate that the new method has higher precision than Simple Shooting method.
Keywords :
Kalman filters; boundary-value problems; iterative methods; Kalman filtering theory; ingenious iteration form; simple shooting method; two point boundary value problems; Distributed computing; Kalman filtering theory; Simple Shooting method; iteration method; two point boundary value problem;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), 2011 International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4577-1827-4
Type :
conf
DOI :
10.1109/CyberC.2011.57
Filename :
6079448
Link To Document :
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