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>Research from Qingdao University Provides New Data on Actuator Research (Smooth-Switching Gain Based Adaptive Neural Network Control of n-Joint Manipulator with Multiple Constraints)
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Research from Qingdao University Provides New Data on Actuator Research (Smooth-Switching Gain Based Adaptive Neural Network Control of n-Joint Manipulator with Multiple Constraints)
By a News Reporter-Staff News Editor at Network Daily News – Investigators publish new report on actuator research. According to news reporting originating from Qingdao, People’s Republic of China, by NewsRx correspondents, research stated, “Modeling errors, external loads and output constraints will affect the tracking control of the n-joint manipulator driven by the permanent magnet synchronous motor.”
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