Supercavitating vehicle LSSVM multiple intelligent control

Jia Song; Xiao Qiang Qi

doi:10.4028/www.scientific.net/AMM.138-139.93

Supercavitating vehicle LSSVM multiple intelligent control

Jia Song^*
, Xiao Qiang Qi

^*Corresponding author for this work

School of Astronautics

CAS - Institute of Mechanics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

According to the conditions of supercavitating vehicle stable control problems, the massive uncertain factors caused by reactions between the vehicle and cavity, and the control system real-time request, the paper presents a supercavitating vehicle stable navigation least squares support vector multiple intelligent control scheme. The scheme makes full use of the nonlinear mapping ability, self-learning adaptability and parallel information processing of the least squares support vector machine. Combining with fuzzy control method, complementary advantages, the closed-loop control has been formed. The simulation shows that the control system has good adaptive ability and robustness. The supercavitating movement stability and precise control realizes even in the situation that difficult to obtain an accurate model.

Original language	English
Title of host publication	Applied Mechanics and Mechanical Engineering II
Publisher	Trans Tech Publications Ltd
Pages	93-98
Number of pages	6
ISBN (Print)	9783037852965
DOIs	https://doi.org/10.4028/www.scientific.net/AMM.138-139.93
State	Published - 2012
Event	2011 2nd International Conference on Applied Mechanics and Mechanical Engineering, ICAMME 2011 - Sanya, China Duration: 8 Oct 2011 → 9 Oct 2011

Publication series

Name	Applied Mechanics and Materials
Volume	138-139
ISSN (Print)	1660-9336
ISSN (Electronic)	1662-7482

Conference

Conference	2011 2nd International Conference on Applied Mechanics and Mechanical Engineering, ICAMME 2011
Country/Territory	China
City	Sanya
Period	8/10/11 → 9/10/11

Keywords

Least squares support vector machines
Multiple intelligent control
Supercavitating vehicle

Access to Document

10.4028/www.scientific.net/AMM.138-139.93

Cite this

@inproceedings{5588e8998579415499b09f277cbfc05c,

title = "Supercavitating vehicle LSSVM multiple intelligent control",

abstract = "According to the conditions of supercavitating vehicle stable control problems, the massive uncertain factors caused by reactions between the vehicle and cavity, and the control system real-time request, the paper presents a supercavitating vehicle stable navigation least squares support vector multiple intelligent control scheme. The scheme makes full use of the nonlinear mapping ability, self-learning adaptability and parallel information processing of the least squares support vector machine. Combining with fuzzy control method, complementary advantages, the closed-loop control has been formed. The simulation shows that the control system has good adaptive ability and robustness. The supercavitating movement stability and precise control realizes even in the situation that difficult to obtain an accurate model.",

keywords = "Least squares support vector machines, Multiple intelligent control, Supercavitating vehicle",

author = "Jia Song and Qi, \{Xiao Qiang\}",

year = "2012",

doi = "10.4028/www.scientific.net/AMM.138-139.93",

language = "英语",

isbn = "9783037852965",

series = "Applied Mechanics and Materials",

publisher = "Trans Tech Publications Ltd",

pages = "93--98",

booktitle = "Applied Mechanics and Mechanical Engineering II",

address = "瑞士",

note = "2011 2nd International Conference on Applied Mechanics and Mechanical Engineering, ICAMME 2011 ; Conference date: 08-10-2011 Through 09-10-2011",

}

Song, J & Qi, XQ 2012, Supercavitating vehicle LSSVM multiple intelligent control. in Applied Mechanics and Mechanical Engineering II. Applied Mechanics and Materials, vol. 138-139, Trans Tech Publications Ltd, pp. 93-98, 2011 2nd International Conference on Applied Mechanics and Mechanical Engineering, ICAMME 2011, Sanya, China, 8/10/11. https://doi.org/10.4028/www.scientific.net/AMM.138-139.93

TY - GEN

T1 - Supercavitating vehicle LSSVM multiple intelligent control

AU - Song, Jia

AU - Qi, Xiao Qiang

PY - 2012

Y1 - 2012

N2 - According to the conditions of supercavitating vehicle stable control problems, the massive uncertain factors caused by reactions between the vehicle and cavity, and the control system real-time request, the paper presents a supercavitating vehicle stable navigation least squares support vector multiple intelligent control scheme. The scheme makes full use of the nonlinear mapping ability, self-learning adaptability and parallel information processing of the least squares support vector machine. Combining with fuzzy control method, complementary advantages, the closed-loop control has been formed. The simulation shows that the control system has good adaptive ability and robustness. The supercavitating movement stability and precise control realizes even in the situation that difficult to obtain an accurate model.

AB - According to the conditions of supercavitating vehicle stable control problems, the massive uncertain factors caused by reactions between the vehicle and cavity, and the control system real-time request, the paper presents a supercavitating vehicle stable navigation least squares support vector multiple intelligent control scheme. The scheme makes full use of the nonlinear mapping ability, self-learning adaptability and parallel information processing of the least squares support vector machine. Combining with fuzzy control method, complementary advantages, the closed-loop control has been formed. The simulation shows that the control system has good adaptive ability and robustness. The supercavitating movement stability and precise control realizes even in the situation that difficult to obtain an accurate model.

KW - Least squares support vector machines

KW - Multiple intelligent control

KW - Supercavitating vehicle

UR - https://www.scopus.com/pages/publications/82355164271

U2 - 10.4028/www.scientific.net/AMM.138-139.93

DO - 10.4028/www.scientific.net/AMM.138-139.93

M3 - 会议稿件

AN - SCOPUS:82355164271

SN - 9783037852965

T3 - Applied Mechanics and Materials

SP - 93

EP - 98

BT - Applied Mechanics and Mechanical Engineering II

PB - Trans Tech Publications Ltd

T2 - 2011 2nd International Conference on Applied Mechanics and Mechanical Engineering, ICAMME 2011

Y2 - 8 October 2011 through 9 October 2011

ER -

Supercavitating vehicle LSSVM multiple intelligent control

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this