Advanced intelligent trajectory tracking design for vehicle systems under the effects of uncertain disturbances

Nai Ren Guo, Yung-Yu Chen, Tzong Jiy Tsai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

An intelligent control of the automated highway system for the guidance of four wheeled vehicles is proposed. The control objective is to find one control law that can automatically guide the new-generation smart vehicles when driving in the highway under the effects of uncertain disturbance as wind gust, etc. We successfully propose one control law for designing the intelligent control of four wheeled vehicles based on concepts of GPS, fuzzy control, and robust control.

Original languageEnglish
Title of host publicationProceedings - 1st International Conference on Robot, Vision and Signal Processing, RVSP 2011
Pages292-295
Number of pages4
DOIs
Publication statusPublished - 2011
Event1st International Conference on Robot, Vision and Signal Processing, RVSP 2011 - Kaohsiung, Taiwan
Duration: 2011 Nov 212011 Nov 23

Other

Other1st International Conference on Robot, Vision and Signal Processing, RVSP 2011
CountryTaiwan
CityKaohsiung
Period11-11-2111-11-23

Fingerprint

Intelligent control
Trajectories
Intelligent vehicle highway systems
Highway systems
Robust control
Fuzzy control
Global positioning system

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Signal Processing

Cite this

Guo, N. R., Chen, Y-Y., & Tsai, T. J. (2011). Advanced intelligent trajectory tracking design for vehicle systems under the effects of uncertain disturbances. In Proceedings - 1st International Conference on Robot, Vision and Signal Processing, RVSP 2011 (pp. 292-295). [6115005] https://doi.org/10.1109/RVSP.2011.36
Guo, Nai Ren ; Chen, Yung-Yu ; Tsai, Tzong Jiy. / Advanced intelligent trajectory tracking design for vehicle systems under the effects of uncertain disturbances. Proceedings - 1st International Conference on Robot, Vision and Signal Processing, RVSP 2011. 2011. pp. 292-295
@inproceedings{d0480f3f7552455f808474aece61bc8e,
title = "Advanced intelligent trajectory tracking design for vehicle systems under the effects of uncertain disturbances",
abstract = "An intelligent control of the automated highway system for the guidance of four wheeled vehicles is proposed. The control objective is to find one control law that can automatically guide the new-generation smart vehicles when driving in the highway under the effects of uncertain disturbance as wind gust, etc. We successfully propose one control law for designing the intelligent control of four wheeled vehicles based on concepts of GPS, fuzzy control, and robust control.",
author = "Guo, {Nai Ren} and Yung-Yu Chen and Tsai, {Tzong Jiy}",
year = "2011",
doi = "10.1109/RVSP.2011.36",
language = "English",
isbn = "9780769545813",
pages = "292--295",
booktitle = "Proceedings - 1st International Conference on Robot, Vision and Signal Processing, RVSP 2011",

}

Guo, NR, Chen, Y-Y & Tsai, TJ 2011, Advanced intelligent trajectory tracking design for vehicle systems under the effects of uncertain disturbances. in Proceedings - 1st International Conference on Robot, Vision and Signal Processing, RVSP 2011., 6115005, pp. 292-295, 1st International Conference on Robot, Vision and Signal Processing, RVSP 2011, Kaohsiung, Taiwan, 11-11-21. https://doi.org/10.1109/RVSP.2011.36

Advanced intelligent trajectory tracking design for vehicle systems under the effects of uncertain disturbances. / Guo, Nai Ren; Chen, Yung-Yu; Tsai, Tzong Jiy.

Proceedings - 1st International Conference on Robot, Vision and Signal Processing, RVSP 2011. 2011. p. 292-295 6115005.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Advanced intelligent trajectory tracking design for vehicle systems under the effects of uncertain disturbances

AU - Guo, Nai Ren

AU - Chen, Yung-Yu

AU - Tsai, Tzong Jiy

PY - 2011

Y1 - 2011

N2 - An intelligent control of the automated highway system for the guidance of four wheeled vehicles is proposed. The control objective is to find one control law that can automatically guide the new-generation smart vehicles when driving in the highway under the effects of uncertain disturbance as wind gust, etc. We successfully propose one control law for designing the intelligent control of four wheeled vehicles based on concepts of GPS, fuzzy control, and robust control.

AB - An intelligent control of the automated highway system for the guidance of four wheeled vehicles is proposed. The control objective is to find one control law that can automatically guide the new-generation smart vehicles when driving in the highway under the effects of uncertain disturbance as wind gust, etc. We successfully propose one control law for designing the intelligent control of four wheeled vehicles based on concepts of GPS, fuzzy control, and robust control.

UR - http://www.scopus.com/inward/record.url?scp=84863065916&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84863065916&partnerID=8YFLogxK

U2 - 10.1109/RVSP.2011.36

DO - 10.1109/RVSP.2011.36

M3 - Conference contribution

SN - 9780769545813

SP - 292

EP - 295

BT - Proceedings - 1st International Conference on Robot, Vision and Signal Processing, RVSP 2011

ER -

Guo NR, Chen Y-Y, Tsai TJ. Advanced intelligent trajectory tracking design for vehicle systems under the effects of uncertain disturbances. In Proceedings - 1st International Conference on Robot, Vision and Signal Processing, RVSP 2011. 2011. p. 292-295. 6115005 https://doi.org/10.1109/RVSP.2011.36