Results 181 to 190 of about 47,257 (241)
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Neuro Fuzzy Temperature Controller
2007 International Conference on Mechatronics and Automation, 2007In 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 +3 more
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Neuro-fuzzy techniques for traffic control
Control Engineering Practice, 1997Abstract Intersection stage control using Forward Dynamic Programming (FDP) with a sample time of five seconds is already effective on the field. Neuro-fuzzy techniques are proposed here for controlling each light each second. Rules, fuzzyfication and inference are modeled by a neural network.
J.J. Henry, J.L. Farges, J.L. Gallego
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INDEPENDENT NEURO-FUZZY CONTROL SYSTEM
IFAC Proceedings Volumes, 2005Abstract The neuro fuzzy system based on two independent structures is described, the first a neuro-observer system developed by use of dynamical neural networks, and the second as the control system based on fuzzy logic system. These structures are described by independent way and their properties are analyzed.
Agustín I. Cabrera +2 more
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Intelligent Automation & Soft Computing, 1999
ABSTRACTIn this paper, a new analog neuro-fuzzy controller is presented. Standard CMOS technology was used for implementation of the building blocks. Internal architecture provides the trade-off between speed and the number of fuzzy rules and/or number of antecedents. Although the input signals, output signals and the processor circuits are all analog,
Nasser Sadati, Hoorman Mohseni
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ABSTRACTIn this paper, a new analog neuro-fuzzy controller is presented. Standard CMOS technology was used for implementation of the building blocks. Internal architecture provides the trade-off between speed and the number of fuzzy rules and/or number of antecedents. Although the input signals, output signals and the processor circuits are all analog,
Nasser Sadati, Hoorman Mohseni
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Neuro-Fuzzy Identifiers and Controllers
Journal of Intelligent & Fuzzy Systems, 1994A neuro-fuzzy identifier for fuzzy modeling of a system is explained, and a control structure using this neurofuzzy identifier is proposed. The neuro-fuzzy identifier contains not only an adaptive clustering process for determining center points of the input and virtual output membership functions but also an adaptive process for deciding the shapes of
M.Lee +2 more
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A neuro-fuzzy systems for control applications
1st International Symposium on Neuro-Fuzzy Systems, AT '96. Conference Report, 2002This paper describes DANIELA a neuro-fuzzy system for control applications. The system is based on a custom neural device that can implement either multilayer perceptrons, radial basis functions or fuzzy paradigms. The system implements intelligent control algorithms mixing neuro-fuzzy paradigms with finite state automata and is used to control a ...
F. BERARDI +3 more
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Neuro-fuzzy controller for helicopter motion control
10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297), 2005This paper presents a neuro-fuzzy controller to control a non-linear system such as the flight of a helicopter in the hover and forward flight mode positions. Hovering is a formidable stability problem, where helicopter pilots typically train for weeks before managing to do it manually.
T.G.B. Amaral, M.M. Crisotomo
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Neuro-Fuzzy Models and Tobacco Control
2009The 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 +1 more
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Neuro-fuzzy control in ATM networks
IEEE Communications Magazine, 1997The 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 ...
C. Douligeris, G. Develekos
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Adaptive neuro-fuzzy wheel slip control
Expert Systems with Applications, 2013Abstract Due to complex and nonlinear dynamics of a braking process and complexity in the tire–road interaction, the control of automotive braking systems performance simultaneously with the wheel slip represents a challenging problem. The non-optimal wheel slip level during braking, causing inability to achieve the desired tire–road friction force ...
Ćirović, Velimir, Aleksendrić, Dragan
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