DocumentCode
478178
Title
Notice of Retraction
Electro-Hydraulic Proportional Self-Adaptive Controller Based on LSVM Intelligent Algorithm
Author
Yi Wan ; Chengwen Wu ; Yangu Zhang
Author_Institution
Coll. of Comput. Sci. & Eng., Wenzhou Univ., Wenzhou
Volume
3
fYear
2008
fDate
18-20 Oct. 2008
Firstpage
175
Lastpage
179
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
In this paper, identification control optimized algorithm is proposed based on the least squares support vector machine (LSVM), and a new composite strategy electro-hydraulic proportional PID controller is constructed by it, this controller used the LSVM PID online parameters adjustment and LSVM online identification for controlled object, LSVM electro-hydraulic proportional control system is formed by them. The simulation result shows control capability of the control algorithm is superior to control capability of traditional control algorithm and fuzzy self-adaptive PID control algorithm, it provides a new method for strong non-linear electro-hydraulic proportional system.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
In this paper, identification control optimized algorithm is proposed based on the least squares support vector machine (LSVM), and a new composite strategy electro-hydraulic proportional PID controller is constructed by it, this controller used the LSVM PID online parameters adjustment and LSVM online identification for controlled object, LSVM electro-hydraulic proportional control system is formed by them. The simulation result shows control capability of the control algorithm is superior to control capability of traditional control algorithm and fuzzy self-adaptive PID control algorithm, it provides a new method for strong non-linear electro-hydraulic proportional system.
Keywords
adaptive control; electrohydraulic control equipment; fuzzy control; identification; least squares approximations; support vector machines; three-term control; LSVM PID online parameters adjustment; LSVM intelligent algorithm; composite strategy electro-hydraulic proportional PID controller; electro-hydraulic proportional self-adaptive controller; fuzzy self-adaptive PID control algorithm; identification control optimized algorithm; least squares support vector machine; Automatic control; Control systems; Equations; Handwriting recognition; Least squares methods; Nonlinear control systems; Optimal control; Proportional control; Support vector machines; Three-term control; Composite strategy electro-hydraulic proportional PID controller; Electro-hydraulic proportional system; Self-adaptive PID control; Support vector machine algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation, 2008. ICNC '08. Fourth International Conference on
Conference_Location
Jinan
Print_ISBN
978-0-7695-3304-9
Type
conf
DOI
10.1109/ICNC.2008.312
Filename
4667125
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