INTELLIGENT CONTROL FOR AUTONOMOUS SYSTEMS

This paper explores the construction of of intelligent autonomous systems by using both intelligent and conventional control concepts. Examples of the latter include adaptive control, fuzzy learning control, knowledge- based control, neural network-based control and genetic algorithms. Each may be used either in the execution layer coordination layer or management layer of the autonomous system. An application of this approach to intelligent vehicle-highway systems is also explored.

• Supplemental Notes:
  • Publication Date: June 1995
• Authors:
  • Passino, Kevin M
• Publication Date: 1995

Language

• English

Media Info

• Pagination: p. 55-62
• Serial:
  • IEEE spectrum. Vol. 32, no. 6

Subject/Index Terms

• TRT Terms: Advanced vehicle control systems; Fuzzy logic; Fuzzy systems; Intelligent transportation systems; Neural networks
• Subject Areas: Operations and Traffic Management;

Filing Info

• Accession Number: 00774112
• Record Type: Publication
• Source Agency: UC Berkeley Transportation Library
• Files: PATH
• Created Date: Nov 17 1999 12:00AM