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IJNS
2000
80views more  IJNS 2000»
10 years 2 months ago
VLSI Implementation of Neural Networks
Currently, fuzzy controllers are the most popular choice for hardware implementation of complex control surfaces because they are easy to design. Neural controllers are more compl...
Bogdan M. Wilamowski, J. Binfet, M. O. Kaynak
INFORMATICALT
2006
87views more  INFORMATICALT 2006»
10 years 2 months ago
Variable Gain Takagi-Sugeno Fuzzy Logic Controllers
Most of the Takagi
Reghunadhan Rajesh, M. Ramachandra Kaimal
EUSFLAT
2003
116views Fuzzy Logic» more  EUSFLAT 2003»
10 years 3 months ago
Fuzzy logic and the Pittsburgh classifier system for mobile robot control
We report on experiments designed to highlight the strengths and weaknesses of an autonomous rule acquisition algorithm for the fuzzy controller of a simulated mobile robot. The a...
Anthony G. Pipe, Brian Carse
EUSFLAT
2001
104views Fuzzy Logic» more  EUSFLAT 2001»
10 years 3 months ago
Iterative learning fuzzy control
In this paper an iterative learning control design method is depicted, leading to a feedforward controller minimizing tracking error of repetitive trajectories. The approach is ex...
Manuel Olivares, Pedro Albertos, Antonio Sala
ICRA
2002
IEEE
132views Robotics» more  ICRA 2002»
10 years 7 months ago
Fuzzy Logic Based Autonomous Skid Steering Vehicle Navigation
– A two-layer fuzzy logic controller has been designed for 2-D autonomous navigation of a skid steering vehicle in an obstacle filled environment. The first layer of the fuzzy co...
Lefteris Doitsidis, Kimon P. Valavanis, Nikos Tsou...
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