Stabilized model reduction for nonlinear dynamical systems through a contractivity-preserving framework
This work develops a technique for constructing a reduced-order system that not only has low computational complexity, but also maintains the stability of the original nonlinear dynamical system. The proposed framework is designed to preserve the contractivity of the vector field in the original sys...
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| Format: | Article |
| Language: | English |
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Sciendo
2020-12-01
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| Series: | International Journal of Applied Mathematics and Computer Science |
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| Online Access: | https://doi.org/10.34768/amcs-2020-0045 |