Please use this identifier to cite or link to this item:
https://scholarbank.nus.edu.sg/handle/10635/71128
DC Field | Value | |
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dc.title | New iterative learning control approaches for nonlinear non-affine MIMO dynamic systems | |
dc.contributor.author | Xu, J. | |
dc.contributor.author | Tan, Y. | |
dc.date.accessioned | 2014-06-19T03:20:09Z | |
dc.date.available | 2014-06-19T03:20:09Z | |
dc.date.issued | 2001 | |
dc.identifier.citation | Xu, J.,Tan, Y. (2001). New iterative learning control approaches for nonlinear non-affine MIMO dynamic systems. Proceedings of the American Control Conference 2 : 896-901. ScholarBank@NUS Repository. | |
dc.identifier.issn | 07431619 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/71128 | |
dc.description.abstract | Iterative learning control is a kind of functional approximation approaches. In this paper, new types of iterative learning control (ILC) approaches are proposed and analyzed for nonlinear non-affine Multi-input-multi-output (MIMO) dynamic systems. First, the important learning performance indices - convergence factor (Q-factor) and convergence order (Q-order) are introduced such that the convergence speed of various ILC approaches can be evaluated in a more rigorous and quantitative manner. Second, "non-linear" ILC: Newton-type ILC approach is proposed to complement the existing linear-type ILC approach in the sense of convergence range and convergence speed. Through rigorous analysis facilitated by the newly introduced performance indices, we show that the Newton-type ILC approach improves the learning convergence significantly in comparison with the linear-type ILC approach, meanwhile requires more of the dynamic system knowledge and are more restrictive on the domain of convergence. Accordingly the Newton-type ILC approach is integrated with the linear-type ILC approach to retain the advantages of both: the linear-type ILC makes the system converge in a much wider range, whereas the Newton-type expedites the convergence when the system is near the equilibrium. It shows that the convergence speed of the Newton-type ILC is faster than that of the linear-type ILC in the sense of Q-factor. | |
dc.source | Scopus | |
dc.type | Conference Paper | |
dc.contributor.department | ELECTRICAL & COMPUTER ENGINEERING | |
dc.description.sourcetitle | Proceedings of the American Control Conference | |
dc.description.volume | 2 | |
dc.description.page | 896-901 | |
dc.description.coden | PRACE | |
dc.identifier.isiut | NOT_IN_WOS | |
Appears in Collections: | Staff Publications |
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