Road profile input estimation using adaptive-neuro fuzzy inference system

Ye Chen Qin; Ji Fu Guan; Liang Gu; Yi Li; Rui Liu

doi:10.15918/j.tbit1001-0645.2015.05.009

Road profile input estimation using adaptive-neuro fuzzy inference system

Ye Chen Qin
, Ji Fu Guan
, Liang Gu^*
, Yi Li
, Rui Liu

^*此作品的通讯作者

机械与车辆学院

Beijing Institute of Technology
Inner Mongolia First Machinery Group Co. Ltd.

科研成果: 期刊稿件 › 文章 › 同行评审

11 引用（Scopus）

摘要

Based on adaptive neuro fuzzy inference system (ANFIS), a time domain estimation for road profile input was presented. Differential equations of quarter vehicle model were created, and white noise signal was employed to stimulate the model and the dynamic response was used to train the inverse dynamic model with ANFIS. In the simulation, different kinds of random excitations were used to verify the accuracy of ANFIS, and the effect of the number of membership function and combination of input data were also discussed. The result shows that ANFIS can be used for road estimation and its time domain reproduction.

源语言	英语
页（从-至）	481-484 and 489
期刊	Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
卷	35
期	5
DOI	https://doi.org/10.15918/j.tbit1001-0645.2015.05.009
出版状态	已出版 - 1 5月 2015

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title = "Road profile input estimation using adaptive-neuro fuzzy inference system",

abstract = "Based on adaptive neuro fuzzy inference system (ANFIS), a time domain estimation for road profile input was presented. Differential equations of quarter vehicle model were created, and white noise signal was employed to stimulate the model and the dynamic response was used to train the inverse dynamic model with ANFIS. In the simulation, different kinds of random excitations were used to verify the accuracy of ANFIS, and the effect of the number of membership function and combination of input data were also discussed. The result shows that ANFIS can be used for road estimation and its time domain reproduction.",

keywords = "Adaptive neuro fuzzy inference system (ANFIS), Road estimation, Road profile, Time domain estimation",

author = "Qin, \{Ye Chen\} and Guan, \{Ji Fu\} and Liang Gu and Yi Li and Rui Liu",

year = "2015",

month = may,

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doi = "10.15918/j.tbit1001-0645.2015.05.009",

language = "English",

volume = "35",

pages = "481--484 and 489",

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TY - JOUR

T1 - Road profile input estimation using adaptive-neuro fuzzy inference system

AU - Qin, Ye Chen

AU - Guan, Ji Fu

AU - Gu, Liang

AU - Li, Yi

AU - Liu, Rui

PY - 2015/5/1

Y1 - 2015/5/1

N2 - Based on adaptive neuro fuzzy inference system (ANFIS), a time domain estimation for road profile input was presented. Differential equations of quarter vehicle model were created, and white noise signal was employed to stimulate the model and the dynamic response was used to train the inverse dynamic model with ANFIS. In the simulation, different kinds of random excitations were used to verify the accuracy of ANFIS, and the effect of the number of membership function and combination of input data were also discussed. The result shows that ANFIS can be used for road estimation and its time domain reproduction.

AB - Based on adaptive neuro fuzzy inference system (ANFIS), a time domain estimation for road profile input was presented. Differential equations of quarter vehicle model were created, and white noise signal was employed to stimulate the model and the dynamic response was used to train the inverse dynamic model with ANFIS. In the simulation, different kinds of random excitations were used to verify the accuracy of ANFIS, and the effect of the number of membership function and combination of input data were also discussed. The result shows that ANFIS can be used for road estimation and its time domain reproduction.

KW - Adaptive neuro fuzzy inference system (ANFIS)

KW - Road estimation

KW - Road profile

KW - Time domain estimation

UR - https://www.scopus.com/pages/publications/84938083381

U2 - 10.15918/j.tbit1001-0645.2015.05.009

DO - 10.15918/j.tbit1001-0645.2015.05.009

M3 - Article

AN - SCOPUS:84938083381

SN - 1001-0645

VL - 35

SP - 481-484 and 489

JO - Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology

JF - Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology

IS - 5

ER -

Road profile input estimation using adaptive-neuro fuzzy inference system

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