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Search results for: fuzzy network
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Year: 2010, Volume: 10, Issue: 3
... or methods under various torque demands without employing a sensor. including Kalman filters, fuzzy logic, and neural network The proposed system performs very well for a sensorless ... to obtain the rotor position angle [10], [11]. operation and effectively eliminates the harmonics due to the LP filter. Recently, researchers have ...
Year: 2008, Volume: 8, Issue: 1
... logical rules, decision fields that are the inputs to the models and trees, fuzzy rules, Bayesian belief networks, and artificial specifies the type and value range ... each field. neural networks. The ways in which the knowledge can be formulated are called models (and sometimes classifiers or • Mining Schema. Each model contains ...
Year: 2009, Volume: 9, Issue: 2
... of Switched techniques give almost similarly results. However, if the Reluctance Motor Using Fuzzying Sliding Mode," Advances in output frequency is lower than the supply network ... and Computer Engineering, vol. 8, no. 1, 2008, pp. 21-25. frequency, the choice is for the Venturini strategy and if the ...
Year: 2022, Volume: 22, Number: 3
... GFLC is based control (PBC), sliding mode control (SMC), fuzzy studied. The contributions of this work are: a) to present a ... achieved, also ï€1  ua  1 for each time interval, with Grids Networks, vol. 27, p. 100496, Sep. 2021. doi ...
Year: 2010, Volume: 10, Issue: 3
... C. DiniÅŸ, and I. Popa, "Comparative Study Reluctance Motor Using Fuzzy Sliding Mode", Advances in Electrical of the Methods for Starting-Up the Induction ... widely in industrial applications and power characteristic the influence of the initial voltage was also network systems have caused significant inherent problems, evaluated. such as generation of reactive ...
Year: 2014, Volume: 14, Number: 3
... [17] M.C. Shin, C.W. Park, J.H. Kim, Fuzzy logic based relaying for large between high-impedance and low-impedance restricted earth-fault power transformer protection ... using neural transformers," IEEE Special Publication 76 CH 1130-4 PWR, Jan. network Principal Component Analysis and Radial Basis Function 1976. [Online]. Available ...
Year: 2014, Volume: 14, Number: 2
... 2010. [23] D. Kairous and R. Wamkeue, "DFIG-based fuzzy sliding-mode control of WECS with a flywheel energy storage," Electric power REFERENCES ... 7] D. Aouzellag, K. Ghedamsi and E.M. Berkouk, "Network power flux control of a wind generator," Renewable energy J 2009, ...
Year: 2020, Volume: 20, Number: 4
... 24] for the MEED II. ECONOMIC AND EMISSION DISPATCH PROBLEM problem. A fuzzy clustering-based Particle Swarm (FCPSO) FORMULATION algorithm, which handles the size of ... Syst., vol. 25, pp. 1064 – 1077, 2010. Networks Perth, WA, Australia, pp. 1942-1948, 1995. doi: ...
Year: 2021, Volume: 21, Number: 1
... influence (MFTCI) has been addressed in [10] by graph-theoretic, and fuzzy techniques in recommender representing students and courses in a latent knowledge systems. However ... E. Gallopoulos, J. D. Garofalakis of using Long Short Term Memory networks in adaptive "EigenRec: generalizing PureSVD for effective and efficient top-N recommendations, ...
Year: 2011, Volume: 11, Number: 4
... but might present dimensioning for a proper functioning. oscillations around the MPP, while fuzzy control, genetic algorithms or neural network prediction are more precise but Index Terms ... photovoltaic systems, dc-dc power converters, also more complex, requiring more processing time and nonlinear dynamical systems, bifurcation, chaos, monodromy matrix, saltation matrix. ...
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