Home /Research /Neural network-based adaptive hybrid impedance control for electrically driven flexible-joint robotic manipulators with input saturation
MANIPULATION

Neural network-based adaptive hybrid impedance control for electrically driven flexible-joint robotic manipulators with input saturation

Shuai Ding, Jinzhu Peng, Hui Zhang, Yaonan Wang

Year
2021
Citations
38

Keywords

Control theory (sociology)Impedance controlBacksteppingArtificial neural networkLyapunov functionComputer scienceElectrical impedancePosition (finance)Bounded functionAdaptive control

Related papers

Browse all MANIPULATION papers