A neural-network-based hysteresis model for piezoelectric actuators-Reference-Cited by-同舟云学术

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A neural-network-based hysteresis model for piezoelectric actuators

Published:2020-01-01 Issue:1 Volume:91 Page:015002
ISSN:0034-6748
Container-title:Review of Scientific Instruments
language:en
Short-container-title:Review of Scientific Instruments

Author:

Ma Lianwei¹^ORCID,Shen Yu²^ORCID,Li Jinrong³^ORCID

Affiliation:

1. School of Information Science and Engineering, Ningbo Institute of Technology, Zhejiang University, Ningbo 315100, China

2. Department of Applied Physics, Zhejiang University of Science and Technology, Hangzhou 310023, China

3. Department of Automation, Zhejiang University of Science and Technology, Hangzhou 310023, China

Funder

Natural Science Foundation of Zhejiang Province

National Natural Science Foundation of China

Publisher

AIP Publishing

Subject

Instrumentation

Link

http://aip.scitation.org/doi/pdf/10.1063/1.5121471

Reference57 articles.

1. Inverse Compensation Based Synchronization Control of the Piezo-Actuated Fabry–Perot Spectrometer

2. Adaptive Estimated Inverse Output-Feedback Quantized Control for Piezoelectric Positioning Stage

3. A method to correct hysteresis of scanning probe microscope images based on a sinusoidal model

4. Sliding Mode Tracking Control With Perturbation Estimation for Hysteresis Nonlinearity of Piezo-Actuated Stages

5. Exact tracking control of nonlinear systems with time delays and dead-zone input

Cited by 6 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. Modeling and Control of a Linear Piezoelectric Actuator;Actuators;2024-01-31

3. Identification of structured nonlinear state–space models for hysteretic systems using neural network hysteresis operators;Measurement;2024-01

4. Fuzzy sliding mode control of piezo-driven stage;Review of Scientific Instruments;2022-01-01

5. High-Bandwidth Hysteresis Compensation of Piezoelectric Actuators via Multilayer Feedforward Neural Network Based Inverse Hysteresis Modeling;Micromachines;2021-10-28

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