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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
M. Sugeno and T. Takagi, Multi—dimensional fuzzy reasoning submitted to International Journal of Fuzzy Sets and Systems.
L. Zadeh, Fuzzy and approxiamate reasoning, Synthese, 30, 407/428, 1975.
Y. Tsukamoto, An Approach to Fuzzy Reasoning Method, in “Advances in Fuzzy Set Theory and Applications”, M. M. Gupta et al., ed., 1979.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1983 Plenum Press, New York
About this chapter
Cite this chapter
Sugeno, M., Takagi, T. (1983). A New Approach to Design of Fuzzy Controller. In: Wang, P.P. (eds) Advances in Fuzzy Sets, Possibility Theory, and Applications. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-3754-6_20
Download citation
DOI: https://doi.org/10.1007/978-1-4613-3754-6_20
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-3756-0
Online ISBN: 978-1-4613-3754-6
eBook Packages: Springer Book Archive