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AEI
1999
110views more  AEI 1999»
13 years 5 months ago
Self-tuning fuzzy controller design using genetic optimisation and neural network modelling
This article describes a new adaptive fuzzy logic control scheme. The proposed scheme is based on the structure of the self-tuning regulator and employs neural network and genetic...
Duc Truong Pham, Dervis Karaboga
TFS
2008
157views more  TFS 2008»
13 years 4 months ago
Efficient Self-Evolving Evolutionary Learning for Neurofuzzy Inference Systems
Abstract--This study proposes an efficient self-evolving evolutionary learning algorithm (SEELA) for neurofuzzy inference systems (NFISs). The major feature of the proposed SEELA i...
Cheng-Jian Lin, Cheng-Hung Chen, Chin-Teng Lin
ICRA
2000
IEEE
236views Robotics» more  ICRA 2000»
13 years 9 months ago
A General Learning Approach to Multisensor Based Control using Statistic Indices
We propose a concept for integrating multiple sensors in real-time robot control. To increase the controller robustness under diverse uncertainties, the robot systematically gener...
Yorck von Collani, Markus Ferch, Jianwei Zhang, Al...
ENGL
2007
141views more  ENGL 2007»
13 years 5 months ago
A Novel Multi-Agent Controller for Dynamic Systems based on Supervisory Loop Approach
— This paper presents a new intelligent agent supervisory loop based approach for dynamic system control. The scheme consists of three software agents that work in an autonomous ...
Sukumar Kamalasadan
CDC
2009
IEEE
170views Control Systems» more  CDC 2009»
13 years 10 months ago
Adaptive constraint-filtering method and its application to GPS positioning
—To deal with the estimation problem for systems subject to constraints while the corresponding noise processes are not completely known, the adaptive constraint-filtering method...
Tsai-Hsin Chang, Li-Sheng Wang, Fan-Ren Chang