Sentence examples for model reduction methodology from inspiring English sources

The model reduction methodology of computational singular perturbation (CSP) is enhanced for chemical kinetics problems.

The final test case applies the new model reduction methodology to a scoping MODFLOW model of Santa Barbara, CA composed of 113,578 cells, which requires solving 113,578 equations per time step, and reduces it to 127 equations.

To overcome the excessive computational cost of MPC application for large-scale nonlinear systems, model reduction methodology in conjunction with efficient system linearizations have been exploited to enable the efficient application of linear MPC for nonlinear distributed parameter systems (DPS).

A geometrical interpretation is provided for the validity of the model reduction methodology based on Partial Equilibrium Approximation, by comparing its algorithm to that of the methodology based on Singular Perturbation Analysis.

Motivated by this, we present (i) a model reduction methodology for deriving nonlinear low-order models of the slow dynamics induced by large recycle streams, and (ii) a controller design framework consisting of properly coordinated controllers in the fast and the slow time scales.

Motivated by this, we present i) a model reduction methodology for deriving nonlinear low-order models of the slow dynamics induced by large recycle streams, and ii) a controller design framework comprising of properly coordinated controllers in the fast and the slow time scales.

A model order reduction methodology is utilized to construct the required reduced order models (ROMs) for governing and target dynamics via Galerkin׳s method.

An efficient model reduction based methodology is presented for predicting the global (impact force, plate deflection and electric potential) and through-thickness local (interfacial strains and stresses) dynamic response of pristine simply-supported cross-ply composite and sandwich composite plates with piezoelectric sensory layers subjected to low-energy impact.

The first concerns the methodology of model reduction and involves approximation of one model by another one of lower dimension without affecting dynamics of experimentally measured species.

Our main contribution is a new methodology for model reduction in the absence of a continuous objective function, unlike the aforementioned works that use a continuous objective based on time-series data.

The objective of the current work is to develop a new methodology such that model reduction can be implemented to modal analysis of multi-body systems with non-proportional damping that were not modeled using bond graphs.