Title
Motion planning and adaptive neural sliding mode tracking control for positioning of uncertain planar underactuated manipulator.
Abstract
•Adaptive fast terminal sliding mode controllers based on an improved RBF neural network are designed for precisely and quickly tracking the planned trajectories.•An online iteration algorithm is presented to correct the angular deviations caused by the parameter perturbation.•An effective robust control scheme is developed for positioning of a class of uncertain planar underactuated manipulator.
Year
DOI
Venue
2019
10.1016/j.neucom.2019.01.026
Neurocomputing
Keywords
Field
DocType
Planar underactuated manipulator,Robust control,Motion planning and tracking,RBF neural network,Adaptive terminal sliding mode control,Differential evolution algorithm
Motion planning,Convergence (routing),Pattern recognition,Control theory,Equilibrium point,Tracking system,Artificial intelligence,Terminal sliding mode,Underactuation,Robust control,Mathematics,Actuator
Journal
Volume
ISSN
Citations 
334
0925-2312
1
PageRank 
References 
Authors
0.37
18
4
Name
Order
Citations
PageRank
Pan Zhang1207.09
Xuzhi Lai28114.48
Yawu Wang352.50
Min Wu43582272.55