Finite-Time Adaptive Quantized Motion Control for Hysteretic Systems With Application to Piezoelectric-Driven Micropositioning Stage
Author:
Affiliation:
1. Department of Control Science and Engineering, Jilin University, Changchun, China
Funder
National Natural Science Foundation of China
Program of Science and Technology Development Plan of Jilin Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/3516/10287648/10066155.pdf?arnumber=10066155
Reference42 articles.
1. Hysteresis inverse compensation-based model reference adaptive control for a piezoelectric micro-positioning platform
2. Approximation-Based Adaptive Tracking Control of Pure-Feedback Nonlinear Systems With Multiple Unknown Time-Varying Delays
3. Neural Network-based Iterative Learning Control for Hysteresis in Magnetic Shape Memory Alloy Actuator
4. Fuzzy Adaptive Quantized Control for a Class of Stochastic Nonlinear Uncertain Systems
5. Adaptive Implicit Inverse Control for a Class of Discrete-Time Hysteretic Nonlinear Systems and Its Application
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1. Observer-Based Finite-Time Adaptive Motion Control for Nonlinear Asymmetric Hysteresis Systems in Pure-Feedback Form;IEEE Transactions on Industrial Electronics;2024-10
2. Duhem model and inverse compensation controller for trajectory tracking in piezo-actuated micropositioning stage based on neural network;Sensors and Actuators A: Physical;2024-10
3. Hysteresis Inverse-Based Tracking Control of a Class of Hysteretic Nonlinear Systems With Input and Output Delays;IEEE Transactions on Industrial Electronics;2024-10
4. Event-Triggered Adaptive Trajectory Tracking Control for Hysteretic Nonlinear Systems With Fixed-Time Performance;IEEE Transactions on Systems, Man, and Cybernetics: Systems;2024-09
5. 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
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