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• W2492952794 abstract "A method to reduce the dynamic order of linear parameter-varying (LPV) systems in grid representation is developed in this paper. It approximates balancing and truncation by an oblique projection onto a dominant subspace. The approach is novel in its use of a parameter-varying kernel to define the direction of this projection. Parameter-varying state transformations in general lead to parameter rate dependence in the model. The proposed projection avoids this dependence and maintains a consistent state space basis for the reduced-order system. The method is compared with LPV balancing and truncation for a nonlinear mass-spring-damper system. It is shown to yield similar accuracy, while the required computation time is reduced by a factor of almost 100,000." @default.
• W2492952794 created "2016-08-23" @default.
• W2492952794 creator A5003170145 @default.
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• W2492952794 date "2016-07-01" @default.
• W2492952794 modified "2023-09-28" @default.
• W2492952794 title "Model order reduction by parameter-varying oblique projection" @default.
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• W2492952794 doi "https://doi.org/10.1109/acc.2016.7526075" @default.
• W2492952794 hasPublicationYear "2016" @default.
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