Results 201 to 210 of about 17,567 (257)

A hybrid neuro-fuzzy PID controller

Fuzzy Sets and Systems, 1998
A hybrid neuro-fuzzy control strategy and its corresponding rule generating approach is proposed. According to this approach, the fuzzy control rules can be generated automatically via fuzzy inputs, and then the appropriate control action can be deduced efficiently by a simplified fuzzy inference engine.
Min-You Chen, Derek A. Linkens
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Neuro-fuzzy control in ATM networks

IEEE Communications Magazine, 1997
The aynchronous transfer mode (ATM) has been deemed the transfer technique of choice in an integrated environment supporting multimedia services. The authors present an extensive review of fuzzy-logic-based and artificial-neural-network-based traffic control mechanisms that have been proposed in the field of asynchronous transfer mode networking ...
Christos Douligeris, George Develekos
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Neuro-fuzzy control of a mobile robot

Neurocomputing, 1999
Abstract Fuzzy systems are able to treat uncertain and imprecise information; they make use of knowledge in the form of linguistic rules. Their drawbacks are caused mainly by the difficulty of defining accurate membership functions and lack of a systematic procedure for the transformation of expert knowledge into the rule base.
Jelena Godjevac, Nigel Steele
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Neuro-fuzzy identification and control of a chain of oscillators

ICECS'99. Proceedings of ICECS '99. 6th IEEE International Conference on Electronics, Circuits and Systems (Cat. No.99EX357), 2003
During the last few years a very common question in the field of nonlinear complex systems mainly concerned how their dynamics can be detected, characterised, and particularly controlled. In this paper a fuzzy model of a forced damped nonlinear pendulum, identified by using the innovative soft-computing techniques, is proposed.
BUCOLO, MAIDE ANGELA RITA, Fortuna L, GRAZIANI, Salvatore, Rizzo A.   +3 more
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Neuro Fuzzy Temperature Controller

2007 International Conference on Mechatronics and Automation, 2007
In this paper a neural fuzzy hybrid technique based an experimental application is studied. Experiments were conducted on a water temperature control system. The control techniques are tested under normal environmental conditions with respect to set-point regulation and load disturbance regulation in real time.
P. P. Bhogle, B. M. Patre, L. M. Waghmare, V. M. Panchade   +3 more
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Design of a neuro-fuzzy controller

1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation, 2002
The essence of fuzzy control is to build a model of human expert who is capable of controlling the plant without thinking in terms of mathematical model. The transformation of expert's knowledge in terms of control rules to fuzzy framework has not been formalized and arbitrary choices concerning, for example, the shape of membership functions have to ...
G.S. Sandhu, K.S. Rattan
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Adaptive Neuro Fuzzy Controller for Process Control System

2008 IEEE Region 10 and the Third international Conference on Industrial and Information Systems, 2008
The generation of membership function for fuzzy system is a challenging problem. The response of fuzzy controller is highly dependent on the membership function which is one of the design parameter in fuzzy system. The optimization of membership function can be viewed as identification problem for a nonlinear dynamic system.
Ajay B. Patil, Amit V. Salunkhe
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On some idea of a neuro-fuzzy controller

Information Sciences, 1999
Abstract The paper presents a neuro-fuzzy technique for the design of controllers. This technique can effectively deal with two main types of knowledge which usually describe the control strategy for complex systems, that is, a qualitative , linguistic, fuzzy knowledge usually expressed in the form of linguistic rules, and a quantitative , nonfuzzy
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Neuro-Fuzzy Models and Tobacco Control

2009
The paper presents neuro-fuzzy models' application appropriate for tobacco control: the fuzzy control model, Adaptive Network Based Fuzzy Inference System, Evolving Fuzzy Neural Network models, and EVOlving POLicies. We propose further the use of Fuzzy Casual Networks to help tobacco control decision makers develop policies and measure their impact on ...
Petrovic-Lazarevic, Sonja, Zhang, Jian Ying   +1 more
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Neuro-Fuzzy Controller for a XY Positioning Table

Intelligent Automation & Soft Computing, 2007
This paper presents control designs using an neuro-fuzzy network. (NFN) for il XY positioning table. The neuro-furzy controller is composed of an outer PD tracking loop for stabilization of the fast flexible mode dynamics and an NFN inner loop used to compensate for the system nonlinearities.
Jun Oh Jang, Hee-Tae Chung, Gi Joon Jeon
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