Control systems are small components that control the behavior of larger systems. In the last years, sophisticated controllers have been widely used in the hardware/software embedded systems contained in a growing number of everyday products and appliances. Therefore, the problem of the automatic synthesis of controllers is extremely important. To this aim, several techniques have been applied, like cell-to-cell mapping, dynamic programming and, more recently, model checking. The controllers generated using these techniques are typically numerical controllers that, however, often have a huge size and not enough robustness. In this paper we present an automatic iterative process, based on genetic algorithms, that can be used to compress the huge information contained in such numerical controllers into smaller and more robust fuzzy control systems. © springer-Verlag Berlin Heidelberg 2007.

Della Penna, G., Fallucchi, F., Intrigila, B., Magazzeni, D. (2007). A genetic approach to the automatic generation of fuzzy control systems from numerical controllers. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp.230-241) [10.1007/978-3-540-74782-6_21].

A genetic approach to the automatic generation of fuzzy control systems from numerical controllers

INTRIGILA, BENEDETTO;
2007-01-01

Abstract

Control systems are small components that control the behavior of larger systems. In the last years, sophisticated controllers have been widely used in the hardware/software embedded systems contained in a growing number of everyday products and appliances. Therefore, the problem of the automatic synthesis of controllers is extremely important. To this aim, several techniques have been applied, like cell-to-cell mapping, dynamic programming and, more recently, model checking. The controllers generated using these techniques are typically numerical controllers that, however, often have a huge size and not enough robustness. In this paper we present an automatic iterative process, based on genetic algorithms, that can be used to compress the huge information contained in such numerical controllers into smaller and more robust fuzzy control systems. © springer-Verlag Berlin Heidelberg 2007.
10th Congress of the Italian Association for Artificial Intelligence, AI IA 2007
Rome
10 September 2007 through 13 September 2007
Rilevanza internazionale
contributo
Settore INF/01 - Informatica
English
Fuzzy control; model checking
Intervento a convegno
Della Penna, G., Fallucchi, F., Intrigila, B., Magazzeni, D. (2007). A genetic approach to the automatic generation of fuzzy control systems from numerical controllers. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp.230-241) [10.1007/978-3-540-74782-6_21].
Della Penna, G; Fallucchi, F; Intrigila, B; Magazzeni, D
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/35853
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