Backstepping Dynamic Surface Control of an SMA Actuator Based on Adaptive Neural Network
Author:
Affiliation:
1. Sichuan University,College of Electrical Engineering,Chengdu,P.R. China
2. Sichuan University,West China Biomedical Big Data Center West China Hospital,Chengdu,P.R. China
Funder
National Natural Science Foundation of China
Sichuan University
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10145915/10145813/10145965.pdf?arnumber=10145965
Reference27 articles.
1. Indirect Intelligent Sliding Mode Control of Antagonistic Shape Memory Alloy Actuators Using Hysteretic Recurrent Neural Networks
2. Position control of shape memory alloy actuator based on the generalized Prandtl–Ishlinskii inverse model
3. Performance-based data-driven optimal tracking control of shape memory alloy actuated manipulator through reinforcement learning
4. Output-Feedback Adaptive Neural Control of a Compliant Differential SMA Actuator
5. Feedforward Control of Shape Memory Alloy Actuators Using Fuzzy-Based Inverse Preisach Model
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