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To evaluate this problem, a reactor performance model with time varying catalyst activity was constructed.
This leads to a time varying model with time dependent mass, stiffness and damping matrices.
A recurrent neural network model with time delay is investigated by numerical methods.
In this article, a drill vibration model with time varied boundary condition is presented.
A simple model with time as the single parameter proved to be a good predictor of mean three monthly concentrations.
An NMP nominal model with time delay in the MIMO system shows the complexity in controller design.
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In this paper, a generalized complex dynamical network model with time-varying delays was presented.
In this paper, the impulsive Cohen Grossberg neural network model with time-varying delays is considered.
A Cox proportional hazards model with time-varying covariates was used.
The dynamical model with time-varying mass has been taken into account.
This dependency is determined from a kinetic gelation model with time-normalized viscosity curves.
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