DocumentCode
2791394
Title
The analysis of fuzzy knowledge-based systems using cell-to-cell mapping
Author
Fei, Jian ; Isik, Can
Author_Institution
Dept. of Electr. & Comput. Eng., Syracuse Univ., NY, USA
fYear
1990
fDate
5-7 Sep 1990
Firstpage
633
Abstract
A cell-to-cell mapping method is introduced and applied to the analysis of a fuzzy-knowledge-based mobile robot motion control system. The cell-to-cell mapping was originally used in nonlinear system analysis. This method is found to be very compatible with the fuzzy-knowledge-based system. By dividing the state space into cell state space, the multi-image fuzzy mapping is transformed to a fuzzy cell-to-cell mapping. The periodic solutions of the fuzzy dynamic system are located by using an algorithm. The global behavior of the fuzzy mapping is described by finding the domain of attraction of a periodic solution
Keywords
fuzzy logic; knowledge based systems; mobile robots; position control; cell-to-cell mapping; fuzzy knowledge-based systems; global behavior; mobile robot motion control; nonlinear system analysis; Control system analysis; Fuzzy control; Fuzzy sets; Fuzzy systems; Knowledge based systems; Mobile robots; Nonlinear dynamical systems; Nonlinear systems; State-space methods; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control, 1990. Proceedings., 5th IEEE International Symposium on
Conference_Location
Philadelphia, PA
ISSN
2158-9860
Print_ISBN
0-8186-2108-7
Type
conf
DOI
10.1109/ISIC.1990.128523
Filename
128523
Link To Document