Trajectory tracking control of super-twisting sliding mode of mobile robot based on neural network
Author:
Affiliation:
1. College of Mechanical and Electrical Engineering, Guangdong University of Science and Technology, Dongguan, Guangdong, China
2. School of Electro-mechanical Engineering, Guangdong University of Technology, Guangzhou, Guangdong, China
Abstract
Publisher
IOS Press
Subject
Computational Mathematics,Computer Science Applications,General Engineering
Reference22 articles.
1. Disturbance observer-based robust control for trajectory tracking of wheeled mobile robots;Huang;Neurocomputing.,2016
2. Robust adaptive tracking control of wheeled mobile robot;Xin;Robotics and Autonomous Systems.,2016
3. Integral sliding mode control for trajectory tracking of wheeled mobile robot in presence of uncertainties;Bessas;Journal of Control Science & Engineering.,2016
4. A novel adaptive-gain supertwisting sliding mode controller: Methodology and application;Shtessel;Automatica.,2012
5. Output feedback control of a skid-steered mobile robot based on the super-twisting algorithm;Salgado;Control Engineering Practice.,2017
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