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A method for synthesizing proportional integral derivative (PID) controllers for process models with probabilistic parametric uncertainty is presented.
In [11] an extension of UML models with probabilistic choice and stochastic timing is also proposed.
We have now included in the manuscript an illustration of synaptic weights for both simulated cases, and the results of the new simulations which demonstrate the role of noise, gE and gI in models with probabilistic connectivity.
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This paper is concerned with the reliable controller design for hybrid-driven nonlinear systems via T S fuzzy model with probabilistic actuator faults and probabilistic nonlinear perturbations.
We can model this by replacing the variables indicating the percentage of state and national voters who support same-sex marriage in the model with probabilistic variables indicating how likely it is that same-sex marriage has achieved majority status.
Transient time response of the IPMC tip deflection is modeled with probabilistic parameters, and Bouc-Wen model is added to represent hysteresis with respect to actuation voltage.
This grid modeling approach is based on a Geographic Information System (GIS) and it integrates the soil moisture routing (SMR) model with probabilistic analysis.
More specifically, we develop a stochastic programming model with probabilistic constraints aimed to solve both the location and the dimensioning problems, i.e. where service sites must be located and how many emergency vehicles must be assigned to each site, in order to achieve a reliable level of service and minimize the overall costs.
MBPTA requires hardware/software support so that program's execution time, and so its WCET, has a probabilistic behaviour and can be modelled with probabilistic and statistic methods.
The Markov model, with probabilistic cohort simulation, was programmed using R software [ 26].
General information about the priorities of calls is modeled with probabilistic intervals in the ontology.
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