Neural Network Adaptive Control of Magnetic Shape Memory Alloy Actuator With Time Delay Based on Composite NARMAX Model
Author:
Affiliation:
1. College of Communication Engineering, Jilin University, Changchun, China
2. College of Computer Sciences and Technology, Jilin University, Changchun, China
Funder
National Natural Science Foundation of China
Program of Science and Technology Development Plan of Jilin Province of China
National Natural Science Foundation of Chongqing City of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Hardware and Architecture
Link
http://xplorestaging.ieee.org/ielx7/8919/10196078/10143366.pdf?arnumber=10143366
Reference47 articles.
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3. Design, modelling and control of a micro-positioning actuator based on magnetic shape memory alloys
4. Adaptive neural control for a class of nonlinear time-varying delay systems with unknown hysteresis;liu;IEEE Trans Neural Netw Learn Syst,2014
5. Nonlinear hysteresis identification and compensation based on the discrete Preisach model of an aircraft morphing wing device manipulated by an SMA actuator
Cited by 3 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. Neural Network Based Iterative Learning Control for Dynamic Hysteresis and Uncertainties in Magnetic Shape Memory Alloy Actuator;IEEE Transactions on Circuits and Systems I: Regular Papers;2024-06
2. Sliding Mode Iterative Learning Control With Iteration-Dependent Parameter Learning Mechanism for Nonlinear Systems and Its Application;IEEE Transactions on Automation Science and Engineering;2023
3. Data-Driven Adaptive Control With Hopfield Neural Network–Based Estimator for Piezo-Actuated Stage With Unknown Hysteresis Input;IEEE Transactions on Instrumentation and Measurement;2023
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