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Zermelo의 항해문제를 위한 신경회로망 최적제어open accessOptimal Control Using Neural Networks for Zermelo’s Navigation Problem

Other Titles
Optimal Control Using Neural Networks for Zermelo’s Navigation Problem
Authors
배준경박진현
Issue Date
2015
Publisher
한국기계기술학회
Keywords
Zermelo’s navigation problem(Zermelo의 항해문제); minimum-time control(최소시간제어); neural network(신경회로망)
Citation
한국기계기술학회지, v.17, no.4, pp 691 - 697
Pages
7
Indexed
KCI
Journal Title
한국기계기술학회지
Volume
17
Number
4
Start Page
691
End Page
697
URI
https://scholarworks.gnu.ac.kr/handle/sw.gnu/17620
DOI
10.17958/ksmt.17.4.201508.691
ISSN
1229-604X
2508-3805
Abstract
Zermelo's navigation problem is that the ship reaches a particular target point in the minimum-time when it travels with a constant speed in a region of strong currents and its heading angle is the control variable. Its approximate solution for the minimum-time control may be found using the calculus of variation. However, the accuracy of its approximate solution is low since the solution is based on graph or table form from a complicated nonlinear equations. To improve the accuracy, we use a neural network. Through the computer simulation study we have found that the proposed method is superior to the conventional ones.
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융합기술공과대학 > Division of Mechatronics Engineering > Journal Articles

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Park, Jin Hyun
IT공과대학 (메카트로닉스공학부)
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