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This study has modeled the inter-trial variability of very rapid eye movements called saccades by using a stochastic feedback model.
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By using a stochastic Lyapunov function which is dependent on the jump mode, design procedures for a mode-dependent state feedback controller are developed based on linear matrix inequality approach.
Uncertainty is considered using a stochastic ToBloOM.
We modify their simulation model to analyse our hypothesis using a stochastic model.
This implies using a stochastic imputation.
This paper presents a stochastic feedback coupling strategy for almost sure exponential synchronization of networked harmonic oscillators.
Therefore, in addition, we use a stochastic inversion technique.
The developed weight adaptive laws use a stochastic approximation algorithm.
The UPE project has used a stochastic approach instead.
We use a stochastic, individual- and network-based simulation approach.
Instead, outbreak patterns are simulated using a simple stochastic model.
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