首页 /研究 /ADAPTIVE ROBUST BACKSTEPPING SLIDING MODE CONTROL OF A DE-ICING INDUSTRIAL ROBOT MANIPULATOR USING NEURAL NETWORK WITH DEAD ZONE
MANIPULATION

ADAPTIVE ROBUST BACKSTEPPING SLIDING MODE CONTROL OF A DE-ICING INDUSTRIAL ROBOT MANIPULATOR USING NEURAL NETWORK WITH DEAD ZONE

Van T. La, Shoudao Huang, Thi Diep Tran, Duc Ha Vu

发表年份
2021
引用次数
3

摘要

In this study, a combination of backstepping technique, neural net-work (NN), adaptive sliding mode control (ASMC) and adaptiveproportional integral (API) control with dead zone is introduced tothe industrial robot manipulator (IRM).

关键词

BacksteppingDead zoneControl theory (sociology)Artificial neural networkSliding mode controlComputer scienceControl engineeringRobot manipulatorRobotEngineering

相关论文

查看 MANIPULATION 分类全部论文