Performance of a stochastic-dynamic modelling methodology for running waters ecological assessment.
It is demonstrated that the finite state description provides a simple implementation of Bayesian state estimation using cell filters, and dynamic programming gives means to conduct optimization of closed-loop performance of a nonlinear stochastic multidimensional chemical plant.
When comparing the performance of a set of stochastic algorithms, it is necessary to statistically evaluate which algorithms are the most suitable for solving a given problem.
Results from an experiment measuring methane emissions from a herd of cattle are used to investigate the performance of a backward-Lagrangian stochastic model (distributed under the name WindTrax).
However, if a MCMC simulation was performed, then the performance of the stochastic MCMC algorithm would have been considerably slower.
The introduction of discrete variables benefits the performance of both stochastic optimizers, contrary to what should a priori be expected, since a MINLP formulation promotes an accurate search on lower and upper bounds for several continuous variables.
In order to take location information of base stations into consideration, the spatial average network performance is estimated by means of a stochastic geometry based approach.
Combining the efficiency of advanced stochastic methods and the computational resources provided nowadays by high performance computing, the computational costs of a stochastic analysis can be significantly reduced.
The performance of the stochastic design shows excellent consistency, in a statistical sense, with the results obtained from Monte-Carlo based designs.
For the numerical illustration, a randomly excited Duffing oscillator is investigated in order to study the performance of the stochastic parallel algorithm with respect to a range of system parameters.
Based on the average dwell time approach, a criterion of mean-square exponential stability with H ∞ performance of switched stochastic delay systems is presented, and sufficient conditions for the existence of a robust H ∞ controller are derived.
