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15 April 2010

Simplifying fuzzy rule base of multiple input multiple output systems by constructing multi-layer fuzzy controller

Rohmanuddin, M. , Houw-Liong The , Ahmad, A.S. Nazaruddin, Y.Y.
Institute Technology Bandung

This paper appears in: Systems, Man, and Cybernetics, 2000 IEEE International Conference
Publication Date: 2000
Volume: 5
On page(s): 3728 - 3733 vol.5
Location: Nashville, TN
ISSN: 1062-922X
Print ISBN: 0-7803-6583-6
INSPEC Accession Number: 6778241
Digital Object Identifier: 10.1109/ICSMC.2000.886590
Date of Current Version: 06 August 2002

In conventional rule based fuzzy control systems, the rules have the form of “IF THEN .” The number of rules increases exponentially as the number of system variables, upon which the fuzzy rules are based, is increased. Some papers have showed that, by structuring the rules in a hierarchical way, the total numbers of rules was a linear function of the system variables. In this paper, it was shown that the number of rules could still be reduced to minimum numbers by employing the same fuzzy rule set at every level

Index Terms
Controlled Indexing
MIMO systems , MIMO systems , fuzzy control , fuzzy logic
Non Controlled Indexing
fuzzy rule base , fuzzy rule base , fuzzy rule set , linear function , multi-layer fuzzy controller , multiple input multiple output systems

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