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

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

doi:10.1109/TITS.2008.928244

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 journal › Article › peer-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 language	English
Pages (from-to)	392-405
Number of pages	14
Journal	IEEE Transactions on Intelligent Transportation Systems
Volume	9
Issue number	3
DOIs	https://doi.org/10.1109/TITS.2008.928244
Publication status	Published - Sept 2008

Access to Document

10.1109/TITS.2008.928244

Cite this

@article{812a6cd812b84020bbf2a5a6f98feb88,

title = "State of the art in vehicle active suspension adaptive control systems based on intelligent methodologies",

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.",

author = "Jiangtao Cao and Honghai Liu and P. Li and Brown, {David J.}",

year = "2008",

month = sep,

doi = "10.1109/TITS.2008.928244",

language = "English",

volume = "9",

pages = "392--405",

journal = "IEEE Transactions on Intelligent Transportation Systems",

issn = "1524-9050",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "3",

}

TY - JOUR

T1 - State of the art in vehicle active suspension adaptive control systems based on intelligent methodologies

AU - Cao, Jiangtao

AU - Liu, Honghai

AU - Li, P.

AU - Brown, David J.

PY - 2008/9

Y1 - 2008/9

N2 - 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.

AB - 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.

U2 - 10.1109/TITS.2008.928244

DO - 10.1109/TITS.2008.928244

M3 - Article

SN - 1524-9050

VL - 9

SP - 392

EP - 405

JO - IEEE Transactions on Intelligent Transportation Systems

JF - IEEE Transactions on Intelligent Transportation Systems

IS - 3

ER -

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

Abstract

Access to Document

Fingerprint

Cite this