Vibration control of semi-active suspension by the neural network that learned the optimal preview control of MLD model-Reference-Cited by-同舟云学术

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Vibration control of semi-active suspension by the neural network that learned the optimal preview control of MLD model

Published:2022 Issue:27 Volume:55 Page:515-520
ISSN:2405-8963
Container-title:IFAC-PapersOnLine
language:en
Short-container-title:IFAC-PapersOnLine

Author:

Sato Kaoru,Hiramoto Kazuhiko

Publisher

Elsevier BV

Subject

General Medicine

Reference17 articles.

1. Output feedback H ∞ /GH 2 preview control of active vehicle suspensions: a comparison study of LQG preview;Akbari;Vehicle System Dynamics,2010

2. Properties and numerical modeling of MR dampers;Barros,2012

3. Comparative Performance Analysis of Active and Semi-active Suspensions with Road Preview Control;Cvok,2020

4. Hybrid Model Predictive Control Application Towards Optimal Semi-Active Suspension;Giorgetti,2005

5. Gurobi Optimization, LLC. (2021). Gurobi 9.1. Available at https://www.gurobi.com (Accessd: 14 April 2021).

Cited by 2 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. Enhancing Comfort and Handling in Semi-Active Suspension Systems with Fuzzy Controller;2023 International Conference of Computer Science and Information Technology (ICOSNIKOM);2023-11-10

2. Research on Magnetic Characteristics and Fuzzy PID Control of Electromagnetic Suspension;Actuators;2023-05-17

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