Neural based adaptive control of underwater vehicle

Z. W. Xing; Y. Zhang; K. Z. Liu; X. S. Feng

doi:10.1109/RISSP.2003.1285646

Neural based adaptive control of underwater vehicle

Z. W. Xing, Y. Zhang, K. Z. Liu, X. S. Feng

Chinese Academy of Sciences

Research output: Contribution to conference › Paper › peer-review

1 Citation (Scopus)

Abstract

A neural network based adaptive inverse control structure fit for the decoupling control of underwater vehicle is proposed. The process of decoupling does not depend on the dynamic model and coupling model of the plant. The coupling between the different variables is suppressed through a disturbance canceller. The validation of the scheme is verified by the simulation.

Original language	English
Pages	622-627
Number of pages	6
DOIs	https://doi.org/10.1109/RISSP.2003.1285646
Publication status	Published - 2003
Externally published	Yes
Event	IEEE International Conference on Robotics, Intelligent Systems and Signal Processing, RISSP 2003 - Changsha, Hunan, China Duration: 8 Oct 2003 → 13 Oct 2003

Conference

Conference	IEEE International Conference on Robotics, Intelligent Systems and Signal Processing, RISSP 2003
Country/Territory	China
City	Changsha, Hunan
Period	8/10/03 → 13/10/03

Access to Document

10.1109/RISSP.2003.1285646

Cite this

@conference{bd1b31948d3d4ddd8ed6870ba69b6058,

title = "Neural based adaptive control of underwater vehicle",

abstract = "A neural network based adaptive inverse control structure fit for the decoupling control of underwater vehicle is proposed. The process of decoupling does not depend on the dynamic model and coupling model of the plant. The coupling between the different variables is suppressed through a disturbance canceller. The validation of the scheme is verified by the simulation.",

author = "Xing, {Z. W.} and Y. Zhang and Liu, {K. Z.} and Feng, {X. S.}",

note = "Publisher Copyright: {\textcopyright} 2003 IEEE.; IEEE International Conference on Robotics, Intelligent Systems and Signal Processing, RISSP 2003 ; Conference date: 08-10-2003 Through 13-10-2003",

year = "2003",

doi = "10.1109/RISSP.2003.1285646",

language = "English",

pages = "622--627",

}

TY - CONF

T1 - Neural based adaptive control of underwater vehicle

AU - Xing, Z. W.

AU - Zhang, Y.

AU - Liu, K. Z.

AU - Feng, X. S.

PY - 2003

Y1 - 2003

N2 - A neural network based adaptive inverse control structure fit for the decoupling control of underwater vehicle is proposed. The process of decoupling does not depend on the dynamic model and coupling model of the plant. The coupling between the different variables is suppressed through a disturbance canceller. The validation of the scheme is verified by the simulation.

AB - A neural network based adaptive inverse control structure fit for the decoupling control of underwater vehicle is proposed. The process of decoupling does not depend on the dynamic model and coupling model of the plant. The coupling between the different variables is suppressed through a disturbance canceller. The validation of the scheme is verified by the simulation.

UR - http://www.scopus.com/inward/record.url?scp=84990935200&partnerID=8YFLogxK

U2 - 10.1109/RISSP.2003.1285646

DO - 10.1109/RISSP.2003.1285646

M3 - Paper

AN - SCOPUS:84990935200

SP - 622

EP - 627

T2 - IEEE International Conference on Robotics, Intelligent Systems and Signal Processing, RISSP 2003

Y2 - 8 October 2003 through 13 October 2003

ER -

Neural based adaptive control of underwater vehicle

Abstract

Conference

Access to Document

Other files and links

Fingerprint

Cite this