Adaptive neural torsional vibration suppression of the rolling mill main drive system subject to state and input constraints with sensor errors-Reference-Cited by-同舟云学术

Adaptive neural torsional vibration suppression of the rolling mill main drive system subject to state and input constraints with sensor errors

Published:2020-11 Issue:17 Volume:357 Page:12886-12903
ISSN:0016-0032
Container-title:Journal of the Franklin Institute
language:en
Short-container-title:Journal of the Franklin Institute

Author:

Qian Cheng,Hua Changchun,Zhang Liuliu,Bai Zhenhua

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Applied Mathematics,Computer Networks and Communications,Signal Processing,Control and Systems Engineering

Reference38 articles.

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2. Unstable vibration of roller mills;Fujita;J. Sound Vib.,2006

3. A dynamically generated fuzzy neural network and its application to torsional vibration control of tandem cold rolling mill spindles;Wang;Neurocomputing,2002

4. Development and evaluation of friction models for chatter simulation in cold strip rolling;Heidari;Int. J. Adv. Manuf.,2018

5. Adaptive dynamic surface control based on fuzzy disturbance observer for drive system with elastic coupling;Wang;J. Frankl. Inst.,2016

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