中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Adaptive neural control for cooperative path following of marine surface vehicles: state and output feedback

文献类型:期刊论文

作者Wang H(王昊); Wang D(王丹); Peng ZH(彭周华)
刊名International Journal of Systems Science
出版日期2016
卷号47期号:2页码:343–359
关键词cooperative path following marine surface vehicles neural networks observer uncertainties
ISSN号0020-7721
产权排序1
通讯作者王丹
中文摘要This paper addresses the cooperative path-following problem of multiple marine surface vehicles subject to dynamical uncertainties and ocean disturbances induced by unknown wind, wave and ocean current. The control design falls neatly into two parts. One is to steer individual marine surface vehicle to track a predefined path and the other is to synchronise the along-path speed and path variables under the constraints of an underlying communication network. Within these two formulations, a robust adaptive path-following controller is first designed for individual vehicles based on backstepping and neural network techniques. Then, a decentralised synchronisation control law is derived by means of consensus on along-path speed and path variables based on graph theory. The distinct feature of this design lies in that synchronised path following can be reached for any undirected connected communication graphs without accurate knowledge of the model. This result is further extended to the output feedback case, where an observer-based cooperative path-following controller is developed without measuring the velocity of each vehicle. For both designs, rigorous theoretical analysis demonstrate that all signals in the closed-loop system are semi-global uniformly ultimately bounded. Simulation results validate the performance and robustness improvement of the proposed strategy.
WOS标题词Science & Technology ; Technology
类目[WOS]Automation & Control Systems ; Computer Science, Theory & Methods ; Operations Research & Management Science
研究领域[WOS]Automation & Control Systems ; Computer Science ; Operations Research & Management Science
关键词[WOS]UNCERTAIN NONLINEAR-SYSTEMS ; MODEL UNCERTAINTY ; VESSELS ; TRACKING ; FORM
收录类别SCI ; EI
语种英语
WOS记录号WOS:000360553200006
源URL[http://ir.sia.cn/handle/173321/16466]  
专题沈阳自动化研究所_水下机器人研究室
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Wang H,Wang D,Peng ZH. Adaptive neural control for cooperative path following of marine surface vehicles: state and output feedback[J]. International Journal of Systems Science,2016,47(2):343–359.
APA Wang H,Wang D,&Peng ZH.(2016).Adaptive neural control for cooperative path following of marine surface vehicles: state and output feedback.International Journal of Systems Science,47(2),343–359.
MLA Wang H,et al."Adaptive neural control for cooperative path following of marine surface vehicles: state and output feedback".International Journal of Systems Science 47.2(2016):343–359.

入库方式: OAI收割

来源:沈阳自动化研究所

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