Abstract
In this paper an automatic methodology for the generation of hybrid fuzzy/numerical controllers is proposed. The methodology is based on model checking and on a very precise analysis of a system. This allows to synthesize optimal numerical controllers and then use them to consistently improve fuzzy controllers.
Moreover we present a new approach that integrates the numerical and the fuzzy components and automatically outputs a hybrid controller Such a hybrid controller exploits the optimality of numerical controllers and the robustness of fuzzy ones, and it is very compact and fast to read thanks to the use of OBDDs.
As a case study, we apply our methodology to the time optimal control of a dc motor The results show that the hybrid controller outperforms both the numerical and the fuzzy ones.
| Original language | English |
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| Title of host publication | 2008 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE FOR MODELLING CONTROL & AUTOMATION, VOLS 1 AND 2 |
| Editors | M Mohammadian |
| Place of Publication | NEW YORK |
| Publisher | IEEE |
| Pages | 946-951 |
| Number of pages | 6 |
| ISBN (Print) | 978-1-4244-3329-2 |
| Publication status | Published - 2008 |
| Event | International Conference on Computational Intelligence for Modelling, Control and Automation - Vienna Duration: 10 Dec 2008 → 12 Dec 2008 |
Conference
| Conference | International Conference on Computational Intelligence for Modelling, Control and Automation |
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| City | Vienna |
| Period | 10/12/2008 → 12/12/2008 |