RBFNNBA Control of Electromechanical Servo System Based on the LuGre Model
Author:
Affiliation:
1. Tongling University,Department of Electrical Engineering,Tongling,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10079708/10079728/10079750.pdf?arnumber=10079750
Reference40 articles.
1. Extended-state-observer-based output feedback adaptive control of hydraulic system with continuous friction compensation;c;J Franklin Inst,2019
2. Robust RBF neural network-based backstepping controller for implantable cardiac pacemakers
3. High precision tracking control of a servo gantry with dynamic friction compensation
4. Neural minimal learning backstepping control of stochastic active suspension systems with hydraulic actuator saturation
5. Adaptive fuzzy control for the servo system with LuGre friction;du;Control and Decision,2013
Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. RBF Neural Network-Based Output Constrained Control of Servo System with LuGre Friction;2023 6th International Conference on Robotics, Control and Automation Engineering (RCAE);2023-11-03
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