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- W2030651570 abstract "Optimized machine learning algorithm is applied to control modeling of high-speed electric-hydraulic proportional system of high nonlinear in this paper, a identification model of high-speed electric-hydraulic proportional system is built based on support vector machines, fusion intelligent method of dynamic self-adaptive internal model control and predictive control is realized for high-speed electric-hydraulic proportional control system. Internal model and inverse controller model are online adjusted together. Simulation shows the satisfactory tracking effect by intelligent technology of dynamic self-adaptive internal control and predictive control based on the support vector machine, the dynamic characteristic is greatly improved by the intelligent control strategy for high-speed electric-hydraulic proportional control system, good tracking and control effect is reached in condition of high frequency response. It provides a new intelligent control method for high-speed electric-hydraulic proportional system." @default.
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- W2030651570 date "2012-10-01" @default.
- W2030651570 modified "2023-09-27" @default.
- W2030651570 title "The Research on Intelligent Control Method for EHP System" @default.
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- W2030651570 doi "https://doi.org/10.4028/www.scientific.net/amr.580.12" @default.
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