17,109 resources related to Fuzzy systems
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2014 IEEE Congress on Evolutionary Computation (CEC)
IEEE Congress on Evolutionary Computation is the largest technical event in the field of evolutionary computation. In 2014, International Joint Conference on Neural Networks will be part of the 2104 IEEE World Congress on Computational Intelligence.
2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
IEEE International Conference on Fuzzy Systems is the largest technical event in the field of fuzzy systems. In 2014, International Joint Conference on Neural Networks will be part of the 2104 IEEE World Congress on Computational Intelligence.
2014 IEEE International Conference on Systems, Man and Cybernetics - SMC
SMC2014 targets advances in Systems Science and Engineering, Human-Machine Systems, and Cybernetics involving state-of-art technologies interacting with humans to provide an enriching experience and thereby improving the quality of lives including theories, methodologies, and emerging applications.
2014 IEEE World Congress on Computational Intelligence (WCCI)
IEEE World Congress on Computational Intelligence (IEEE WCCI) is the largest technical event in the field of computational intelligence. IEEE WCCI 2014 will host three conferences: The 2014 International Joint Conference on Neural Networks, the 2014 IEEE International Conference on Fuzzy Systems, and the 2014 IEEE Congress on Evolutionary Computation.
2013 IEEE 10th International Conference on Networking, Sensing and Control (ICNSC)
The main theme of the conference is Technology for efficient green networks . It will provide a remarkable opportunity for the academic and industrial communities to address new challenges and share solutions, and discuss future research directions.
The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...
Theory and application of fuzzy systems with emphasis on engineering systems and scientific applications. (6) (IEEE Guide for Authors) Representative applications areas include:fuzzy estimation, prediction and control; approximate reasoning; intelligent systems design; machine learning; image processing and machine vision;pattern recognition, fuzzy neurocomputing; electronic and photonic implementation; medical computing applications; robotics and motion control; constraint propagation and optimization; civil, chemical and ...
Systems engineering, including efforts that involve issue formnaulations, issue analysis and modeling, and decision making and issue interpretation at any of the life-cycle phases associated with the definition, development, and implementation of large systems. It will also include efforts that relate to systems management, systems engineering processes and a variety of systems engineering methods such as optimization, modeling and simulation. ...
The scope of the IEEE Transactions on Systems, Man and Cybernetics Part B: Cybernetics includes computational approaches to the field of cybernetics. Specifically, the transactions welcomes papers on communication and control across machines or between machines, humans, and organizations. The scope of Part B includes such areas as computational intelligence, computer vision, neural networks, genetic algorithms, machine learning, fuzzy systems, ...
Yiwang Wang Information and Computing Science, 2009. ICIC '09. Second International Conference on, 2009
There are serious nonlinear, variable strongly coupling characteristic in switched reluctance motor (SRM), and its electromagnetic relationship is hard to analyze. According to the nonlinear inductance model of SRM, a control system for SRM is carried out based on the variable universe fuzzy theory, which can modify universe according to the change of inputs. A complete simulation model of a ...
Wen-Shyong Yu; Chih-Jen Sun Fuzzy Systems, IEEE Transactions on, 2001
A fuzzy model based adaptive control algorithm for a class of continuous-time nonlinear dynamic systems is presented. The fuzzy model consisting of a set of linear fuzzy local models that are combined using a fuzzy inference mechanism is used to model a class of nonlinear systems. Each fuzzy local model represents a linearized model corresponding to the operating point of ...
Siddaiah, M.; Prasad, Nadipuram R.; Lieberman, M.A.; Hughs, S.E. Circuits and Systems, 1999. 42nd Midwest Symposium on, 1999
This paper discusses the use of soft computing techniques such as Fuzzy Logic and Neural Network based approaches in the identification of various types of trash (non-lint material/foreign matter), and the computation of trash content in ginned cotton. Lint is the cotton fiber; non-lint or foreign matter is essentially everything other than lint. Trash content is the percentage of sample ...
Daneshfar, F.; RavanJamjah, J.; Mansoori, F.; Bevrani, H.; Azami, Bahram Zahir Vehicular Technology Conference, 2009. VTC Spring 2009. IEEE 69th, 2009
The traffic congestion problem in urban areas is worsening since traditional traffic signal control systems cannot provide efficient traffic control. Therefore, dynamic traffic signal control in Intelligent Transportation System (ITS) recently has received increasing attention. This study devises an adaptive and cooperative multi-agent fuzzy system for a decentralized traffic signal control. To achieve this we have worked on a model ...
Wei Ba; Dabo Zhang Decision and Control, 2007 46th IEEE Conference on, 2007
In the context of least slack first scheduling, switching may frequently be caused. The extra overheads of preemptions among tasks debase the performance of soft real-time systems significantly. In this paper, we present a novel scheduling algorithm, named dynamic fuzzy threshold least slack first (DFTLSF) scheduling, which solved the switching problem when use least slack first scheduling algorithm in tasks. ...
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