| Author | dc.contributor.author | Causa, Javier | |
| Author | dc.contributor.author | Karer, Gorazd | es_CL |
| Author | dc.contributor.author | Núñez, Alfredo | es_CL |
| Author | dc.contributor.author | Sáez Hueichapán, Doris | es_CL |
| Author | dc.contributor.author | Škerjanc, Igor | es_CL |
| Author | dc.contributor.author | Zupančič, Borut | es_CL |
| Admission date | dc.date.accessioned | 2010-01-13T14:31:26Z | |
| Available date | dc.date.available | 2010-01-13T14:31:26Z | |
| Publication date | dc.date.issued | 2008-12-22 | |
| Cita de ítem | dc.identifier.citation | COMPUTERS & CHEMICAL ENGINEERING Volume: 32 Issue: 12 Pages: 3254-3263 Published: DEC 22 2008 | en_US |
| Identifier | dc.identifier.issn | 0098-1354 | |
| Identifier | dc.identifier.other | 10.1016/j.compchemeng.2008.05.014 | |
| Identifier | dc.identifier.uri | https://repositorio.uchile.cl/handle/2250/125104 | |
| Abstract | dc.description.abstract | In this paper we describe the design of hybrid fuzzy predictive control based on a genetic algorithm (GA). We also present a simulation test of the proposed algorithm and a comparison with two hybrid predictive control methods: Explicit Enumeration and Branch and Bound (BB). The experiments involved controlling the temperature of a batch reactor by using two on/off input valves and a discrete-position mixing valve. The GA-hybrid predictive control strategy proved to be a suitable method for the control of hybrid systems, giving similar performance to that of typical hybrid predictive control strategies and a significant saving with respect to the computation time. | en_US |
| Patrocinador | dc.description.sponsorship | This work was supported in part by the Ministry of Science,
Higher Education and Technology of the Republic of Slovenia and
by Fondecyt grants 1061156 (Chile) and 7070293 (Chile-Slovenia). | en_US |
| Lenguage | dc.language.iso | en | en_US |
| Publisher | dc.publisher | PERGAMON-ELSEVIER SCIENCE LTD | en_US |
| Keywords | dc.subject | NONLINEAR PROCESSES | en_US |
| Título | dc.title | Hybrid fuzzy predictive control based on genetic algorithms for the temperature control of a batch reactor | en_US |
| Document type | dc.type | Artículo de revista | |
