Robotics & Machine Learning Daily News2024,Issue(MAY.1) :34-35.

Researchers from Jiangsu University Report on Findings in Support Vector Machine s (Decoupling Control of Six-pole Radial Hybrid Magnetic Bearing Based On Least Square Support Vector Machine Inverse System)

Robotics & Machine Learning Daily News2024,Issue(MAY.1) :34-35.

Researchers from Jiangsu University Report on Findings in Support Vector Machine s (Decoupling Control of Six-pole Radial Hybrid Magnetic Bearing Based On Least Square Support Vector Machine Inverse System)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Current study results on Support Vector Machines have been published. According to newsreporting from Zhenjiang, People’s Republ ic of China, by NewsRx journalists, research stated, “In orderto solve the prob lems of the influence of nonlinearity and strong coupling on the control perform anceof six-pole radial hybrid magnetic bearing (HMB) system, a decoupling contr ol strategy based on leastsquare support vector machine (LSSVM) inverse system is proposed. The structure and operation principleof six-pole radial HMB are in troduced, the mathematical model of its suspension force is deduced, andthe rev ersibility of mathematical model is proved.”

Key words

Zhenjiang/People’s Republic of China/A sia/Emerging Technologies/Machine Learning/Mathematics/Support Vector Machin es/Vector Machines/Jiangsu University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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