Vehicle suspension vibration control using recurrent neural networks

Huawei Guan, Xinyi Le, Jun Wang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

This paper presents an application of vibration control to a half-car model using recurrent neural networks. The robust vibration control is formulated as equality constrained optimization problem. Simulation results show that the close-loop system has good response performance in the presence of disturbances generated by an isolated bump. The study shows potential in using neural networks for the active vibration control in precision machine design.

Original languageEnglish
Title of host publication5th International Conference on Intelligent Control and Information Processing, ICICIP 2014 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages435-440
Number of pages6
ISBN (Electronic)9781479936489
DOIs
Publication statusPublished - 14 Jan 2015
Externally publishedYes
Event5th International Conference on Intelligent Control and Information Processing, ICICIP 2014 - Dalian, Liaoning, China
Duration: 18 Aug 201420 Aug 2014

Publication series

Name5th International Conference on Intelligent Control and Information Processing, ICICIP 2014 - Proceedings

Conference

Conference5th International Conference on Intelligent Control and Information Processing, ICICIP 2014
Country/TerritoryChina
CityDalian, Liaoning
Period18/08/1420/08/14

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