A new model reduction method for nonlinear dynamical systems
โ Scribed by Nikolaos Kazantzis; Costas Kravaris; Lemonia Syrou
- Publisher
- Springer Netherlands
- Year
- 2009
- Tongue
- English
- Weight
- 606 KB
- Volume
- 59
- Category
- Article
- ISSN
- 0924-090X
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๐ SIMILAR VOLUMES
Numerical simulations of large nonlinear dynamical systems, especially over long-time intervals, may be computationally very expensive. Model reduction methods have been used in this context for a long time, usually projecting the dynamical system onto a sub-space of its phase space. Nonlinear Galer
Nonlinear nondynamic systems which can be modelled by a linear combination of nonlinear functions are considered. An algorithm, based on correlation techniques, is presented for reducing the number of terms in such a model to a fixed but arbitrary number, n. It is shown that when the model is a line