A New Approach to Design of Fuzzy Controller

M. Sugeno and T. Takagi
Additional contact information
M. Sugeno: Tokyo Institute of Technology, Department of Systems Science
T. Takagi: Tokyo Institute of Technology, Department of Systems Science

A chapter in Advances in Fuzzy Sets, Possibility Theory, and Applications, 1983, pp 325-334 from Springer

Abstract: Abstract We have heuristically designed fuzzy controllers so far since we have lacked a fuzzy model of a system. The authors have recently developed a method of multi-dimensional fuzzy reasoning that enables one to build a dynamic model of a system just as we do in terms of differential equations. This paper presents a new idea of designing a fuzzy controller based on a fuzzy model of a system.

Date: 1983
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4613-3754-6_20

Ordering information: This item can be ordered from
http://www.springer.com/9781461337546

DOI: 10.1007/978-1-4613-3754-6_20

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().