IEEE - Institute of Electrical and Electronics Engineers, Inc. - Application of Neural Network Minimum Parameter Learning Algorithm in Ship's Heading Tracking Control

2016 9th International Symposium on Computational Intelligence and Design (ISCID)

Author(s): Wang Renqiang ; Zhao Yuelin ; Miao Keyin
Sponsor(s): IEEE Nanjing Comput. Intell. Chapter
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 December 2016
Conference Location: Hangzhou, China
Conference Date: 10 December 2016
Volume: 1
Page(s): 135 - 139
ISBN (Electronic): 978-1-5090-3558-8
ISSN (Electronic): 2473-3547
DOI: 10.1109/ISCID.2016.1039
Regular:

Ship heading sliding mode tracking control algorithm was investigated based on the minimum parameter learning algorithm of Radial Basis Function (RBF) neural network. RBF neural network has been... View More

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