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CIMCA
2006
IEEE
14 years 2 months ago
Direct Adaptive Fuzzy Control with Less Restrictions on the Control Gain
: In the adaptive fuzzy control field for affine nonlinear systems, there are two basic configurations: direct and indirect. It is well known that the direct configuration needs mo...
Phi Anh Phan, Timothy J. Gale
ICRA
2003
IEEE
124views Robotics» more  ICRA 2003»
14 years 1 months ago
Intelligent control of an experimental articulated leg for a galloping machine
Intelligent controllers are being used with increasing effectiveness on complex systems. This work verifies the effectiveness of fuzzy control, an intelligent method, on a sing...
Luther R. Palmer, David E. Orin, Duane W. Marhefka...
ACIIDS
2009
IEEE
159views Database» more  ACIIDS 2009»
13 years 6 months ago
Application to GA-Based Fuzzy Control for Nonlinear Systems with Uncertainty
In this study, we strive to combine the advantages of fuzzy theory, genetic algorithms (GA), H tracking control schemes, smooth control and adaptive laws to design an adaptive fuzz...
Po-Chen Chen, Ken Yeh, Cheng-Wu Chen, Chen-Yuan Ch...
ENGL
2006
110views more  ENGL 2006»
13 years 8 months ago
Intelligent Control of an Autonomous Mobile Robot using Type-2 Fuzzy Logic
We develop a tracking controller for the dynamic model of unicycle mobile robot by integrating a kinematic controller and a torque controller based on Fuzzy Logic Theory. Computer ...
Leslie Astudillo, Oscar Castillo, Patricia Melin, ...
IJNS
2000
80views more  IJNS 2000»
13 years 8 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