Command Filtered Adaptive Fuzzy Control for Induction Motors With Iron Losses and Stochastic Disturbances via Reduced-Order Observer
Author:
Affiliation:
1. School of Automation, Qingdao University, Qingdao, China
2. Institute of Artificial Intelligence and Future Networks, Beijing Normal University, Zhuhai, China
3. School of Rushan No. 2 Middle School, Rushan, China
Funder
National Natural Science Foundation of China
Major Innovation Project of Shandong Province
Qingdao Key Research and Development Special Project
Taishan Scholar Special Project Fund
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/8920/10083009/09951383.pdf?arnumber=9951383
Reference13 articles.
1. Observer-Based Adaptive Fuzzy Backstepping Control for a Class of Stochastic Nonlinear Strict-Feedback Systems
2. Adaptive fuzzy dynamic surface control for induction motors with iron losses in electric vehicle drive systems via backstepping
3. Finite‐time adaptive fuzzy control for induction motors with input saturation based on command filtering
4. Observer-Based Finite-Time Adaptive Fuzzy Control with Prescribed Performance for Nonstrict-Feedback Nonlinear Systems
5. Fast Method for the Iron Loss Prediction in Inverter-Fed Induction Motors
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