Title
Notice of Retraction Electro-Hydraulic Proportional Self-Adaptive Controller Based on LSVM Intelligent Algorithm
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.
Year
DOI
Venue
2008
10.1109/ICNC.2008.312
ICNC
Keywords
DocType
Volume
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,Composite strategy electro-hydraulic proportional PID controller,Electro-hydraulic proportional system,Self-adaptive PID control,Support vector machine algorithm
Conference
3
ISBN
Citations 
PageRank 
978-0-7695-3304-9
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Yi Wan120.74
Wu, Cheng-Wen21843170.44
Yangu Zhang322.40