DocumentCode
300858
Title
A formal approach to fuzzy modeling
Author
Lygeros, John
Author_Institution
Intelligent Machines & Robotics Lab., California Univ., Berkeley, CA, USA
Volume
5
fYear
1995
fDate
21-23 Jun 1995
Firstpage
3740
Abstract
A formalism for coding fuzzy models of dynamical systems is presented. It is shown that the set of models consistent with this formalism contains models that are capable of duplicating the trajectories of an arbitrary conventional discrete time dynamical system, whose one step maps are polynomials with rational coefficients. The formalism also illustrates similarities between fuzzy systems and hybrid control systems that we hope to be able to exploit by extending results from the area of hybrid systems to the fuzzy domain and vice versa
Keywords
discrete time systems; formal specification; fuzzy control; fuzzy systems; modelling; discrete time systems; dynamical systems; formalism; fuzzy control; fuzzy modeling; fuzzy systems; Fuzzy control; Fuzzy logic; Fuzzy sets; Fuzzy systems; Intelligent robots; Laboratories; Machine intelligence; Polynomials; Power system modeling; Trajectory;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, Proceedings of the 1995
Conference_Location
Seattle, WA
Print_ISBN
0-7803-2445-5
Type
conf
DOI
10.1109/ACC.1995.533837
Filename
533837
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