Abstract
In the paper an implementation of Fuzzy Petri Nets with Lukasiewicz norms is described based on FPGA integrated circuits. The proposed solution is used for modeling of control systems. The approach for the realization of fuzzy Petri net models is based on the synthesis method taking advantage of a fuzzy Petri net place module concept. The paper contains the description of a real-life control system, which is used to demonstrate new features of fuzzy Petri nets with Lukasiewicz norms. For the example control system, in order to analyze costs of implementation, a comparison is made between the fuzzy Petri net model with Lukasiewicz norms and the fuzzy Petri net model with triangular MIN/MAX norms.
Cite
CITATION STYLE
Hajduk, Z., & Wojtowicz, J. (2016). Hardware implementation of fuzzy petri nets with lukasiewicz norms for modelling of control systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9621, pp. 449–458). Springer Verlag. https://doi.org/10.1007/978-3-662-49381-6_43
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