Department Of Electromechanics 1

1. Control of Drum Shear Electric Drive Using Self-Learning Artificial Neural Networks
2. Fractional PI-PI^μD Controllers with Neural Network Adaptation in Control System of BLDC Motor Electric Drives
3. Improvement of human–machine interface of complex technical systems using fractional-order PI^λD^μ controllers
4. Forecasting the Power Generation of a Solar Power Plant Taking into Account the Statistical Characteristics of Meteorological Conditions
5. CREATING A CONCEPT AND AXIOMATIZATION OF THE APPLIED THEORY OF EFFICIENCY OF COMPLEX TECHNICAL SYSTEMS WITH DISTRIBUTED PARAMETERS OF INPUT AND OUTPUT PRODUCTS
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