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AAIM
2007
Springer
142views Algorithms» more  AAIM 2007»
13 years 10 months ago
Design of a Fuzzy PI Controller to Guarantee Proportional Delay Differentiation on Web Servers
PI controller has attracted researchers in industrial control processes because of its simplicity and robust performance in a wide range of operating conditions. It has been used t...
Ka Ho Chan, Xiaowen Chu
GECCO
2005
Springer
162views Optimization» more  GECCO 2005»
14 years 3 days ago
Evolution of Voronoi based fuzzy recurrent controllers
A fuzzy controller is usually designed by formulating the knowledge of a human expert into a set of linguistic variables and fuzzy rules. Among the most successful methods to auto...
Carlos Kavka, Patricia Roggero, Marc Schoenauer
OGAI
1993
13 years 10 months ago
Combining Neural Networks and Fuzzy Controllers
Fuzzy controllers are designed to work with knowledge in the form of linguistic control rules. But the translation of these linguistic rules into the framework of fuzzy set theory ...
Detlef Nauck, Frank Klawonn, Rudolf Kruse
EUSFLAT
2001
119views Fuzzy Logic» more  EUSFLAT 2001»
13 years 8 months ago
Optimization of evolutionary strategies to achieve knowledge in faded temporal fuzzy logic controllers
In this document we cany out a comparative analysis of the reasoning strategies implemented in Fuzzy Logic Controllers (hereinafter FLCs) and Faded Temporal Fuzzy Logic Controller...
Manuel A. Gadeo Martos, Juan R. Velasco Pér...
GRC
2010
IEEE
13 years 6 months ago
Interval Type-2 Fuzzy PI Controllers: Why They are More Robust
Abstract—Many experiments have shown that interval type2 (IT2) fuzzy PI controllers are generally more robust than their type-1 (T1) counterparts, as they are better able to cope...
Dongrui Wu, Woei Wan Tan