Abstract
In this paper, five basic logic relationships are built by spiking neural P systems (SN P systems, for short). A method that uses spiking neural P systems to build a PLC control system model is proposed and implemented through the PLC programming application of a typical water level control system. Example shows that PLC programming process has been simplified and readability of the program has been enhanced after the introduction of SN P systems. Therefore, the upgraded and maintenance of PLC program can be effectively improved.
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Chen, K., Wang, J., Sun, Z., Luo, J., Liu, T. (2014). The Application of Spiking Neural P Systems for PLC Programming. In: Pan, L., Păun, G., Pérez-Jiménez, M.J., Song, T. (eds) Bio-Inspired Computing - Theories and Applications. Communications in Computer and Information Science, vol 472. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45049-9_2
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DOI: https://doi.org/10.1007/978-3-662-45049-9_2
Publisher Name: Springer, Berlin, Heidelberg
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