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The basic problem of order reduction of nonlinear systems with time periodic coefficients is considered.
In this work, we discuss the parametric modeling for the (electro -thermal analysis of componelectro -thermaltronic structures analysismatic mofel order reducomponentshe cofsequenanoelectronicmodelstructures
Furthermore, this BBD structure allows for intrinsic model order reduction of the partitions during the Newton iteration, transforming the Newton method to a Quasi-Newton method.
In this work, new methodologies for order reduction of nonlinear systems with periodic coefficients subjected to external periodic excitations are presented.
In the paper, a numerical procedure for model order reduction of a water-pipe system housed in a vibration-sensitive research facility is presented.
Model order reduction of the controllers is briefly discussed, which is important for implementation of the controllers in the robot control system.
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This paper addresses robust model-order reduction of a high dimensional nonlinear partial differential equation (PDE) model of a complex biological process.
For example, it has been proved experimentally [ 52] that substitution of chlorine atom instead of iodine one in this position leads to two-order reduction of the inhibition constant.
Three order reduction strategies of the solver are considered.
This paper investigates structure preserving model-order reductions of the MIMO second-order system.
The usage of model order reduction by means of modal truncation leads to a design system of feasible dimension and also directly represents a suitable form for the determination of the flatness-based state and input parametrization.
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