Neural network–based adaptive composite dynamic surface control for electro-hydraulic system with very low velocity
Author:
Affiliation:
1. School of Mechanical & Power Engineering, Shanghai Jiao Tong University, Shanghai, China
Publisher
SAGE Publications
Subject
Mechanical Engineering,Control and Systems Engineering
Link
http://journals.sagepub.com/doi/pdf/10.1177/0959651817731976
Reference38 articles.
1. Adaptive Backstepping Control of an Electrohydraulic Actuator
2. Jelali M, Kroll A. Hydraulic servo-systems: modelling, identification and control. London: Springer, 2012, p.1.
3. Adaptive sliding mode control of electro-hydraulic system with nonlinear unknown parameters
4. Revisiting the LuGre friction model
5. Adaptive Control of Hydraulic Actuators With LuGre Model-Based Friction Compensation
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