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Virtual Structure Formation Control via Sliding Mode Control and Neural Networks
Qin, Qi; Li, Tie-Shan; Liu, Cheng; Chen, C. L. Philip; Han, Min; Cong, F; Leung, A; Wei, Q
2017
Conference NameADVANCES IN NEURAL NETWORKS, PT II
Volume10262
Pages101-108
Conference DateJUN 21-26, 2017
Conference PlaceJAPAN
Publication PlaceGEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
PublisherSPRINGER INTERNATIONAL PUBLISHING AG
Abstract

In this paper, a sliding mode controller is presented for the trajectory tracking by a group of ships with an established formation along a given parametrized path via neural network and sliding mode control technique. The control objective for each ship is to keep its relative positon in the formation while a virtual Formation Reference Point (FRP) tracks a predefined path. We first solve the virtual structure formation problems via sliding mode control method due to its excellent adaptability to external disturbance and system perturbation. Moreover, a radial basis function NN is considered in the design of the controller to approximate the unknown uncertainties efficiently. Some simulations are given to verify the theoretical results in this paper.

KeywordFormation Control Virtual Structure Sliding Mode Control Neural Networks
DOI10.1007/978-3-319-59081-3_13
URLView the original
Language英語English
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Theory & Methods
WOS IDWOS:000439964300013
The Source to ArticleWOS
Scopus ID2-s2.0-85021706842
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Citation statistics
Document TypeConference paper
CollectionUniversity of Macau
Recommended Citation
GB/T 7714
Qin, Qi,Li, Tie-Shan,Liu, Cheng,et al. Virtual Structure Formation Control via Sliding Mode Control and Neural Networks[C], GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND:SPRINGER INTERNATIONAL PUBLISHING AG, 2017, 101-108.
APA Qin, Qi., Li, Tie-Shan., Liu, Cheng., Chen, C. L. Philip., Han, Min., Cong, F., Leung, A., & Wei, Q (2017). Virtual Structure Formation Control via Sliding Mode Control and Neural Networks. , 10262, 101-108.
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