Soviet Automatic ControlScripta Publishing Company, 1969 |
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Page 42
... transformation selects a certain com- ponent . Since the frequencies of the periodic components in x ( t ) are not known a priori , a complete analysis requires assigning a family of weight functions h ( t ) . Every transformation ...
... transformation selects a certain com- ponent . Since the frequencies of the periodic components in x ( t ) are not known a priori , a complete analysis requires assigning a family of weight functions h ( t ) . Every transformation ...
Page 43
... transformation is the correlation transformations . A correlation transformation of a function x ( t ) , assigned in the interval ( -T , T ) , is described by 1 x ' ( t ) = x ( T ) x ( t + T ) dτ , a < L . 2a -a ( 8 ) The transformation ...
... transformation is the correlation transformations . A correlation transformation of a function x ( t ) , assigned in the interval ( -T , T ) , is described by 1 x ' ( t ) = x ( T ) x ( t + T ) dτ , a < L . 2a -a ( 8 ) The transformation ...
Page 65
... transformation contain a pair ( s ;, s . ) . By applying this transformation to automa- ton A we obtain an automaton A Let us consider the original sequences of automata A and A It fol- lows from the definition of a U - transformation ...
... transformation contain a pair ( s ;, s . ) . By applying this transformation to automa- ton A we obtain an automaton A Let us consider the original sequences of automata A and A It fol- lows from the definition of a U - transformation ...
Contents
The Academy of Sciences of the Ukrainian SSR An Offspring of Soviet Rule | 1 |
NUMBER | 5 |
The Variance Method of Spontaneous Decomposition | 18 |
Copyright | |
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a₁ absolute invariance accuracy adaptive algorithm amplifier analog computer approximation Automation automaton Avtomatyka block diagram calculations characteristic circuit coefficients Coll combinations complex components constraints control signal control systems correlation function corresponding criterion dead zone dekatron denoted determine device differential equations digital computer disturbances Dumka dynamic electronic elements engineering Engineering Cybernetics error example filter formula frequency function GMDH graph Hence heuristic input invariance conditions invariance theory Ivakhnenko Kiev Let us consider linear loop machine magnetic matrix method Moscow multiplier nodes nonlinear obtain operation optimal optimum output parameters perceptron performance phase plant polynomials possible prediction problem pulse random process realization selection servomechanisms single copies solution solving Soviet Automatic Control stability stochastic approximation structure switching synthesis Table threshold tion training sequence transformation transition probability U₁ UkrSSR values variation vector voltage X₁ Y₂ дх дха