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A basal ganglia inspired soft switching approach to the motion control of a car-like autonomous vehicle

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4 Scopus citations

Abstract

This paper presents a new brain-inspired, switching control approach for a car-like autonomous vehicle using a basal ganglia (BG) model as an action selection mechanism. The problem domain has challenging nonholonomic and state constraints which imply no single stabilizing controller solution is possible by time-invariant smooth state feedback. To allow the BG make the correct controller selection from a family of candidate motion controllers, a fuzzy logic-based salience model using reference and tracking error only is developed, and applied in a soft switching control mechanism. To demonstrate the effectiveness of our approach for motion tracking control, we show effective control for a circular trajectory tracking application. The performance and advantages of the proposed fuzzy salience model and the BG-based soft switching control scheme against a traditional single control method are compared.

Original languageEnglish
Title of host publicationAdvances in Brain Inspired Cognitive Systems - 6th International Conference, BICS 2013, Proceedings
Pages245-254
Number of pages10
DOIs
StatePublished - 2013
Externally publishedYes
Event6th International Conference on Brain Inspired Cognitive Systems, BICS 2013 - Beijing, China
Duration: 9 Jun 201311 Jun 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7888 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th International Conference on Brain Inspired Cognitive Systems, BICS 2013
Country/TerritoryChina
CityBeijing
Period9/06/1311/06/13

Keywords

  • Brain-inspired computing
  • action selection
  • autonomous vehicles
  • basal ganglia
  • cognitive computation
  • fuzzy logic
  • motion control
  • multiple controller systems
  • soft switching

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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