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...
Wedi'i Gadw mewn:
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| Awduron Eraill: | , |
| Fformat: | article |
| Iaith: | eng |
| Cyhoeddwyd: |
2007
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| Pynciau: | |
| Mynediad Ar-lein: | http://bibdigital.epn.edu.ec/handle/15000/9309 |
| Tagiau: |
Ychwanegu Tag
Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!
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Ychwanegu Tag | Crynodeb: | 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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