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| Natura: | Artículo científico |
| Lingua: | en |
| Pubblicazione: |
Universidad de los Andes
2017
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| Accesso online: | https://www.redalyc.org/articulo.oa?id=507555007005 https://www.redalyc.org/journal/5075/507555007005/ https://www.redalyc.org/journal/5075/507555007005/html/ https://www.redalyc.org/journal/5075/507555007005/507555007005.epub https://www.redalyc.org/journal/5075/507555007005/movil |
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Sommario:
- Implicit self-tuning control for a class of nonlinear systems Anna Karina Patete Salas Maria Isabel Velasco Colmenares Katsuhisa Furuta Ingeniería The stability of implicit self-tuning control has been proved, for the discrete-time linear case, by the use of a Lyapunov func-tion. Latter on the algorithm was extended for a class of bilinear systems. However real world systems are mostly nonlinear systems and it is of interest to extend the proposed algorithm to a more complex class of nonlinear models. In this research a nonlinear class of systems is defined, and then a generalized minimum variance control for the defined nonlinear class is developed. In addition, parameters of real world systems may change in time, and a good performance controller should be able to keep the overall system stability in such a case; to deal with this issue an implicit self-tuning control for the defined class of nonlinear systems is presented, the estimated parameters do not need to converge to their real values. The mathe-matical results show that with this new algorithm the self-tuning controller is able to keep the closed-loop system global stability for the defined class of nonlinear systems, and also the algorithm is a general case of the algorithms proposed in the literature for the bilinear and linear systems cases. 2017 artículo científico 1316-7081 https://www.redalyc.org/articulo.oa?id=507555007005 https://www.redalyc.org/journal/5075/507555007005/ https://www.redalyc.org/journal/5075/507555007005/html/ https://www.redalyc.org/journal/5075/507555007005/507555007005.epub https://www.redalyc.org/journal/5075/507555007005/movil en http://www.redalyc.org/revista.oa?id=5075 Ciencia e Ingeniería application/pdf Universidad de los Andes Ciencia e Ingeniería (República Bolivariana de Venezuela) Num.2 Vol.38