Module-oriented automatic differentiation in nonlinear control
In this paper, a module-oriented automatic differentiation (MAD) approach is presented based on traditional automatic differentiation algorithms. This approach can well exploit the sparsity of the model by partitioning it into a series of sequential modules and choosing the best differentiation algo...
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| Beste egile batzuk: | , |
| Formatua: | article |
| Hizkuntza: | eng |
| Argitaratua: |
2007
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| Gaiak: | |
| Sarrera elektronikoa: | http://bibdigital.epn.edu.ec/handle/15000/9309 |
| Etiketak: |
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Etiketa erantsi | Gaia: | In this paper, a module-oriented automatic differentiation (MAD) approach is presented based on traditional automatic differentiation algorithms. This approach can well exploit the sparsity of the model by partitioning it into a series of sequential modules and choosing the best differentiation algorithm for each module accordingly. Numerical results show that for nonlinear system, module-oriented automatic differentiation can calculate the Lie derivatives and Jacobians efficiently. |
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