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
Link To Document :
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