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The dependence of eigenvalues on a system parameter is frequently illustrated by a family of loci.
Uncertain static analysis of an engineering structure with diverse type of non-deterministic system parameter is investigated in this study.
However there are cases where the evaluated production rate, as a function of some system parameter, is discontinuous.
The uncertainties occurring in the system parameter is assumed to be random and satisfy the Bernoulli distribution.
The real effect of each system parameter is evaluated through design factorial analysis using two different classifiers: first using Support Vector Machine (SVM) and second applying Naive Bayesian (NB) classification.
The dynamic model is developed in accordance with the physics, where the residual gas fraction (RGF) as a crucial system parameter is modeled as a stochastic process with Markov property.
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The dependence of consumption length on reaction rate parameters and system parameters is discussed.
The behavior of vibrating systems subjected to a sudden change in system parameters is discussed.
In addition, adaptively changing the system parameters is practically a burden in terms of system implementation.
In other words, the behavior of one or more system parameters is presumed to be nonlinear.
However, estimation of such system parameters is highly difficult in practice [28].
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