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The phenomenon of missing data is modeled by a stochastic variable following the Bernoulli random distribution.
The randomness of actuators failures is modeled by a stochastic variable in a Markov jump model framework.
The mathematical model of the 2-D system is established upon the well-known Roesser model, and the measurement missing phenomenon, which appears typically in a network environment, is modeled by a stochastic variable satisfying the Bernoulli random binary distribution.
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By introducing a stochastic variable which satisfies Bernoulli distribution, the information of probabilistic time-varying delay is equivalently transformed into the deterministic time-varying delay with stochastic parameters.
This unfortunate behaviour can occur when a stochastic variable is modelled by an asymmetrical density function.
We first introduce a stochastic variable x defined by the PDF f(x) = ϑe ϑx θ( − x) expressing vehicle C's coordinate.
Define a stochastic variable as (2.8).
Since the values t ij are stochastic, also the performance of ρ h is a stochastic variable.
The NPV is a stochastic variable as the reservoir parameters, such as the permeability field, are stochastic.
Thus, the state of the gas, instead of determining the probability distribution, now itself becomes a stochastic variable.
However, because each parameter is treated as a stochastic variable, standard deviations become slightly larger [ 5].
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