State of the Art in Vehicle Active Suspension Adaptive Control Systems Based on Intelligent Methodologies

This paper presents a review of intelligent control approaches for active vehicle suspension control systems. It first gives an overview of active suspension systems. This is followed by a discussion on adaptive fuzzy control methods, current fuzzy inference systems, neural networks, genetic algorithms, and suspension control issues.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/41297384
• Authors:
  • Cao, Jiangtao
  • Liu, Honghai
  • Li, Ping
  • Brown, David J
• Publication Date: 2008-9

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References; Tables;
• Pagination: pp 392-405
• Serial:
  • IEEE Transactions on Intelligent Transportation Systems
  • Volume: 9
  • Issue Number: 3
  • Publisher: Institute of Electrical and Electronics Engineers (IEEE)
  • ISSN: 1524-9050
  • Serial URL: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6979

Subject/Index Terms

• TRT Terms: Active suspension systems; Adaptive control; Fuzzy controllers; Intelligent control systems; Neural networks
• Subject Areas: Highways; Vehicles and Equipment; I90: Vehicles;

Filing Info

• Accession Number: 01120208
• Record Type: Publication
• Source Agency: UC Berkeley Transportation Library
• Files: BTRIS, TRIS
• Created Date: Jan 30 2009 7:38AM