Adaptive Control of Hydraulic Systems with MML Inferred RBF Networks

Proceedings of the 2005 IEEE International Conference on Robotics and Automation ◽

10.1109/robot.2005.1570467 ◽

2006 ◽

Author(s):

D.F. Schmidt ◽

A.P. Paplinski ◽

G.S. Lowe

Keyword(s):

Adaptive Control ◽

Hydraulic Systems ◽

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RBF Networks-Based Weighted Multi-Model Adaptive Control for a Category of Nonlinear Systems With Jumping Parameters

IEEE Access ◽

10.1109/access.2019.2924478 ◽

2019 ◽

Vol 7 ◽

pp. 84929-84937

Author(s):

Qing Li ◽

Yuhang Yang ◽

Yuzhen Zhang ◽

Yukun Liu ◽

Weicun Zhang ◽

...

Keyword(s):

Adaptive Control ◽

Nonlinear Systems ◽

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Adaptive control of limit cycle for unknown nonlinear hysteretic system using dynamic recurrent RBF networks

Proceedings of the IEEE Internatinal Symposium on Intelligent Control ◽

10.1109/isic.2002.1157775 ◽

2003 ◽

Author(s):

S.B.L. Kooi

Keyword(s):

Adaptive Control ◽

Limit Cycle ◽

Rbf Networks ◽

Hysteretic System ◽

Nonlinear Hysteretic System

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RISE-Based Adaptive Control of Hydraulic Systems With Asymptotic Tracking

IEEE Transactions on Automation Science and Engineering ◽

10.1109/tase.2015.2434393 ◽

2017 ◽

Vol 14 (3) ◽

pp. 1524-1531 ◽

Author(s):

Jianyong Yao ◽

Wenxiang Deng ◽

Zongxia Jiao

Keyword(s):

Adaptive Control ◽

Hydraulic Systems ◽

Asymptotic Tracking

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Adaptive control for improved efficiency of hydraulic systems for high-speed tilting trains

Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit ◽

10.1177/0954409711420038 ◽

2011 ◽

Vol 226 (3) ◽

pp. 272-283 ◽

Author(s):

G Jacazio ◽

D Risso ◽

M Sorli ◽

L Tomassini

Keyword(s):

Adaptive Control ◽

Hydraulic Systems

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Stable Adaptive Control of A Class of Nonlinear Dynamic Systems Using RBF Networks

Intelligent Automation & Soft Computing ◽

10.1080/10798587.1996.10750652 ◽

1996 ◽

Vol 2 (1) ◽

pp. 15-26

Author(s):

G. Feng ◽

N. Zhang ◽

C.K. Chak ◽

Z.X. Han

Keyword(s):

Adaptive Control ◽

Dynamic Systems ◽

Nonlinear Dynamic ◽

Nonlinear Dynamic Systems ◽

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Training RBF networks using a DE algorithm with adaptive control

17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05) ◽

10.1109/ictai.2005.123 ◽

2005 ◽

Author(s):

Junhong Liu ◽

J. Mattila ◽

J. Lampinen

Keyword(s):

Adaptive Control ◽

Rbf Networks ◽

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Nonlinear adaptive control based on RBF networks and multi-model method

Proceedings of the 1997 American Control Conference (Cat. No.97CH36041) ◽

10.1109/acc.1997.610831 ◽

1997 ◽

Author(s):

Chen Xiaohong ◽

Gao Feng ◽

Qian Jixin

Keyword(s):

Adaptive Control ◽

Rbf Networks ◽

Nonlinear Adaptive Control ◽

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Adaptive control based on RBF networks

Proceedings of 35th IEEE Conference on Decision and Control ◽

10.1109/cdc.1996.577244 ◽

2002 ◽

Author(s):

Chen Xiaohong ◽

Gao Feng ◽

Qian Jixin

Keyword(s):

Adaptive Control ◽

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Model reference adaptive control for time varying hydraulic systems

2008 International Conference on Machine Learning and Cybernetics ◽

10.1109/icmlc.2008.4620740 ◽

2008 ◽

Author(s):

Dong Liu ◽

Jie Ma

Keyword(s):

Adaptive Control ◽

Model Reference Adaptive Control ◽

Time Varying ◽

Hydraulic Systems ◽

Model Reference ◽

Model Reference Adaptive

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Nichtlineare adaptive Regelung von Hammerstein-Systemen mittels RBF-Netze (Adaptive Control of Hammerstein Systems using RBF Networks)

at - Automatisierungstechnik ◽

10.1524/auto.2000.48.11.547 ◽

2000 ◽

Vol 48 (11/2000) ◽

Author(s):

T. Knohl ◽

H. Unbehauen

Keyword(s):

Adaptive Control ◽

Rbf Networks ◽

Hammerstein Systems

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