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For intermediate values of f, the amplification of the voltage response reflects the interaction of the oscillatory inputs with an intrinsic vector field (for the autonomous system) that is correlated with the amplification of the voltage responses to instantaneous inputs discussed in the context of Fig. 4c for negative as compared to positive values of both α and ϵ (Figs. 4a and 4b).
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To avoid it, we must relax at least one of the five conditions or give up the restriction of the aggregation rule's inputs to orderings and defend the use of richer inputs, as discussed in Section 4. One way to avoid Arrow's theorem is to relax universal domain.
First, critical excitation methods for stationary random inputs are discussed in this chapter.
During the fuzzing process, we generate a steady stream of new test cases which we directly evaluate with respect to the set of previously generated inputs (as discussed in the quality evaluation step).
The dynamics of this system can be used for encoding a variety of inputs, as discussed in [255] where it is shown that a constant heterogeneity of the natural frequencies between oscillators in this system leads to a spatio-temporal encoding of the heterogeneities.
Since the Gaussian-distributed input is the optimal input for a given mean power constraint, (10) serves as an outer bound for the capacity region with a practically motivated input, i.e., finite constellation input as discussed in Section 3.1.
The training results using different data sets as model input are discussed in the experimental results section.
The evaluation methods results of each model with different input variables discussed in this paper show that the ANN model (Model B1) outperforms all other models.
Robust finite-time H∞ control of a class of continuous-time nonlinear system with parameter uncertainties and disturbance input is discussed in this note.
(e_1 t)), (e_2 t)), and (e_{3}(t)) are the inputs to the linear network, which are considered known as they are quasi steady-state sinusoidal signals expressed in (13) with parameters estimated by using the input samples discussed in Section 3.1.
Discussion of a lossy MZI for Fock state inputs is also discussed in previous works [15, 16].
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