Sliding mode control of robot manipulators via an improved recurrent neural network and barrier functions
Robotic manipulators are subject to parametric uncertainties and external disturbances, which complicate accurate trajectory tracking. Existing approaches may require accurate dynamic models, multiple adaptive networks, or conservative fixed switching gains. To address these issues, an adaptive terminal sliding-mode co...