Neural Networks in Active Power Filtering - Dubey, Satya Prakash
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Key Features -Covers research and development on the existing approaches of harmonic compensation techniques. -Includes the design and development of a simplified neural network model, training of the proposed model and simulation using MATLAB/Simulink. -Incorporates the real time implementation of neural network controller on Digital Signal Processor and performance evaluation under various load conditions. -Provides expanded coverage of development of hybrid active power filter circuit, mathematical modeling, and performance evaluation under various power system conditions (linear/nonlinear,…mehr

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Produktbeschreibung
Key Features -Covers research and development on the existing approaches of harmonic compensation techniques. -Includes the design and development of a simplified neural network model, training of the proposed model and simulation using MATLAB/Simulink. -Incorporates the real time implementation of neural network controller on Digital Signal Processor and performance evaluation under various load conditions. -Provides expanded coverage of development of hybrid active power filter circuit, mathematical modeling, and performance evaluation under various power system conditions (linear/nonlinear, balanced/unbalanced source and load conditions) by means of simulation.
Autorenporträt
Satya Prakash Dubey is a professor and Dean (Research & Development) at Rungta College of Engineering and Technology, Bhilai, India. He received his Ph.D. in electrical engineering form Birla Institute of Technology & Sciences (BITS), Pilani and his master in electrical engineering from Indian Institute of Technology, Roorkee.