State of the art in vehicle active suspension adaptive control systems based on intelligent methodologies

Jiangtao Cao, Honghai Liu, P. Li, David J. Brown

Research output: Contribution to journalArticlepeer-review

Abstract

This paper reviews computational-intelligence-involved approaches in active vehicle suspension control systems with a focus on the problems raised in practical implementations by their nonlinear and uncertain properties. After a brief introduction on active suspension models, the paper explores the state of the art in fuzzy inference systems, neural networks, genetic algorithms, and their combination for suspension control issues. Discussions and comments are provided based on the reviewed simulation and experimental results. The paper is concluded with remarks and future directions.
Original languageEnglish
Pages (from-to)392-405
Number of pages14
JournalIEEE Transactions on Intelligent Transportation Systems
Volume9
Issue number3
DOIs
Publication statusPublished - Sep 2008

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