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A novel LS-SVM control for unknown nonlinear systems with application to complex forging process

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成果类型:
期刊论文
作者:
Fan Bin;Lu Xin-jiang*;Huang Ming-hui
通讯作者:
Lu Xin-jiang
作者机构:
[Lu Xin-jiang; Huang Ming-hui; Fan Bin] Cent S Univ, Sch Mech & Elect Engn, Changsha 410083, Hunan, Peoples R China.
[Fan Bin] Hunan City Univ, Coll Mech & Elect Engn, Yiyang 413002, Peoples R China.
通讯机构:
[Lu Xin-jiang] C
Cent S Univ, Sch Mech & Elect Engn, Changsha 410083, Hunan, Peoples R China.
语种:
英文
关键词:
unknown system;inverse control;input/output approximation;LS-SVM control;linear kernel
期刊:
中南大学学报(英文版)
ISSN:
2095-2899
年:
2017
卷:
24
期:
11
页码:
2524-2531
基金类别:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [51205420]; Program for New Century Excellent Talents in University, ChinaProgram for New Century Excellent Talents in University (NCET) [NCET-13-0593]; Research Foundation of Education Bureau of Hunan Province, China [14C0208]
机构署名:
本校为其他机构
院系归属:
机械与电气工程学院
摘要:
A novel LS-SVM control method is proposed for general unknown nonlinear systems. A linear kernel LS-SVM model is firstly developed for input/output (I/O) approximation. The LS-SVM control law is then derived directly from this developed model without any approximation and assumption. It further proves that the control error is fully equal to the LS-SVM modeling error. This means that a desirable control performance can be achieved because the LS-SVM has been proven to have an outstanding modeling ability in the previous studies. Case studies finally ...

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