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The Development of Digital Computers in the Ukraine and Their Use in
Physical Realizability at Nonlinear Invariant Systems
71 other sections not shown
1967 Soviet Automatic A. G. Ivakhnenko accuracy algorithm amplitude analysis analyzer approximation error assume Avtomatyka block diagram calculation cells characteristic Chebyshev polynomials circuit coefficients constraints control systems correlation corresponding criterion curve determined device differential equation diodes distribution disturbances dynamic Electronica Electronics elements engineering error example factor filter flip-flop formula frequency Hence i-th initial conditions input integral interval invariance inverse Kiev Let us consider linear loop mathematical matrix mean-square memistor method Moscow multivariable control neuron nonlinear normal equations obtain open-loop operation optimal optimal control optimum output parameters pattern pattern recognition perceptron performance permeance plant polynomials possible prediction probability problem pulse random realization recognition system sampling self-learning sequence single copies solution solving Soviet Automatic Control specified stability stochastic approximation stochastic process subsystems switches synthesis theory threshold tion transfer function transform transient process values variables vector voltage weight zero