Bacterial-based control of two wheeled vehicles

Jhih Kai Chuang, Ping Yuan Lu, Yih Guang Leu, Yu Sheng Lin

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

2 Citations (Scopus)

Abstract

Our aim is to develop a bacterial-based swarm algorithm that adjusts the parameter values of a fuzzy model. The bacterial-based swarm algorithm is simplified in order to adjust the parameters of the fuzzy model. The procedure of the bacterial swarm algorithm simulates the movement of an E. coli bacterium through swimming and tumbling in problem search space in order to find the optimal solution. A bacterial-based swarm controller has been presented for a self-balancing two-wheeled vehicle. We utilize computer simulation and hardware implementation to verify applicability and effectiveness of the proposed method.

Original languageEnglish
Title of host publication11th IEEE International Conference on Control and Automation, IEEE ICCA 2014
PublisherIEEE Computer Society
Pages551-555
Number of pages5
ISBN (Print)9781479928378
DOIs
Publication statusPublished - 2014 Jan 1
Event11th IEEE International Conference on Control and Automation, IEEE ICCA 2014 - Taichung, Taiwan
Duration: 2014 Jun 182014 Jun 20

Publication series

NameIEEE International Conference on Control and Automation, ICCA
ISSN (Print)1948-3449
ISSN (Electronic)1948-3457

Other

Other11th IEEE International Conference on Control and Automation, IEEE ICCA 2014
CountryTaiwan
CityTaichung
Period14/6/1814/6/20

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Keywords

  • Bacterial foraging algorithm
  • controller
  • two-wheeled vehicles

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering

Cite this

Chuang, J. K., Lu, P. Y., Leu, Y. G., & Lin, Y. S. (2014). Bacterial-based control of two wheeled vehicles. In 11th IEEE International Conference on Control and Automation, IEEE ICCA 2014 (pp. 551-555). [6870979] (IEEE International Conference on Control and Automation, ICCA). IEEE Computer Society. https://doi.org/10.1109/ICCA.2014.6870979