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This paper is devoted to model reduction of linear time invariant (LTI) systems with random parameters. A novel framework is proposed to deal with this ...
This paper is devoted to model reduction of linear time invariant (LTI) systems with random parameters. A novel framework is proposed to deal with this ...
Mar 22, 2024 · This paper is devoted to model reduction of linear time invariant (LTI) systems whose parameters are random variables.
Aug 23, 2021 · Here I demonstrate model reduction on a parameterized system of linear equations, compressing the system from its original size of 16384 rows and columns to a ...
This paper proposes a new method to perform model reduction of linear time invariant (LTI) systems where parameters are random variables governed by ...
This paper proposes a new method to perform model reduction of linear time invariant (LTI) systems where parameters are random variables governed by ...
Mar 24, 2023 · L. Nechak, H.-F. Raynaud, Caroline Kulcsár. Model Reduction of Linear Systems with Random Parameters. 11th IFAC Workshop on Adaptation and ...
Abstract. A model-constrained adaptive sampling methodology is proposed for reduction of large-scale systems with high-dimensional parametric input spaces.
Mar 7, 2018 · We propose a probabilistic way for reducing the cost of classical projection-based model order reduction methods for parameter-dependent linear equations.
Model reduction for linear parameter varying systems through parameter projection ... a random parameter realisation, for different reduction orders and ...