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...
Sábháilte in:
Príomhchruthaitheoir: | |
---|---|
Rannpháirtithe: | , |
Formáid: | article |
Teanga: | eng |
Foilsithe / Cruthaithe: |
2007
|
Ábhair: | |
Rochtain ar líne: | http://bibdigital.epn.edu.ec/handle/15000/9309 |
Clibeanna: |
Cuir clib leis
Níl clibeanna ann, Bí ar an gcéad duine le clib a chur leis an taifead seo!
|
Achoimre: | 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. |
---|