(НТУ "ХПИ", 2002) Клепиков, Владимир Борисович; Полянская, Ирина Сергеевна
A regulator implementation for a double-mass electromechanical system which provides required regulation performance is suggested in the form of a simplest-architecture neural network. A technique for analytical determination of the neural network weighting coefficients is given.
(НТУ "ХПИ", 2001) Клепиков, Владимир Борисович; Полянская, Ирина Сергеевна
Analytical expressions for determining feedback parameters of an initially unstable electromechanical system with negative viscous friction which guarantee the system stability and given control performance, are derived. The obtained expressions are applied for complete and reduced state vector control.
