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- Author: Andrei Dinu, Jeen Ghee Khor, Malcolm Mccormick, Marcian Cirstea
- Publisher: "Newnes"
- Released: 2002
- ISBN10: 0750655585
- ISBN13: 9780750655583
- Type: pdf
- Page count: 412
- Rating: 5/10
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Neural and Fuzzy Logic Control of Drives and Power Systems [Paperback]
- Introduces cuttingedge control systems to a wide readership of engineers and students *The first book on neurofuzzy control systems to take a practical The authors guide readers quickly and concisely through the complex topics of neural networks, fuzzy logic, mathematical modelling of electrical machines, power Neural and Fuzzy Logic Control of. Drives and Power Systems Neural and Fuzzy Logic Control of Drives and Power Systems M.N. Cirstea, A. Dinu, J.G. Khor, M. McCormick
Neural and Fuzzy Logic Control of Drives and Power Systems
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- Expert system, fuzzy logic, and neural network applications in power electronics and motion controlhardly touched the power electronics and machine drives
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?Neural Networks and Fuzzy Logic Control – ?Electrical Energy Generation Utilization and Conservation?Power System Analysis ?Solid State Drives Motorola M68hc12, Oxford University Press, ISBN 0195124693. Cirstea, MN, A Dinu, JG Khor, and M McCormick, Neural and Fuzzy Logic Control of Drives and Power Systems
Fuzzy control system - Wikipedia, the free encyclopedia
- detailed methodology for designing control systems, including neural and fuzzyJG Khor, and M McCormick, Neural and Fuzzy Logic Control of Drives and Power Systems [4] M. N. Cirstea, A. Dinu, J. G. Khor, and M. McCormick, Neural and Fuzzy Logic Control of Drives and Power Systems. Burlington, MA Elsevier, 2002.
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- fuzzy logic controldrive the generator and the governor is used to control the speed and the real power.control design of power system stabilizer using artificial neural motor drive is presented. By combining variable structure systems theory with fuzzy logic concept and neuralmotor, fuzzylogic control, neuralDrives Control, Power Download mp3 audio book. Fuzzy logic based tuning of neural network training parameters. Fuzzy logic criteria for increasing aNeural Fuzzy Systems A NeuroFuzzy Synergism to Intelligent Systems