Please use this identifier to cite or link to this item:
http://bibdigital.epn.edu.ec/handle/15000/9309
Title: | Module-oriented automatic differentiation in nonlinear control |
Authors: | Li, Jin Tan, Yuejin Liao, Liangcai |
Keywords: | SISTEMAS DE CONTROL NO LINEAL |
Issue Date: | 12-Mar-2007 |
Abstract: | 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. |
URI: | http://bibdigital.epn.edu.ec/handle/15000/9309 |
Type: | Article |
Appears in Collections: | 2005 International Conference on Industrial Electronics and Control Applications (FIEE) |
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