The practical realization of Network Control Systems (NCSs) enforces handling network-induced effects: information transfer and processing delay, delay variability, packet loss and reordering, etc. The impact of these phenomena can be limited by using dedicated, expensive real-time networks and control systems, or by implementation of algorithmic methods. This paper presents an adjustable sampling rate (ASR) algorithm to alleviate negative influence of network-induced uncertainty in NCSs, and compares it with previously developed predictor based (PB) one in a common experimental framework. Since the experiments are conducted using standard modules and communication technologies, the reported results are applicable to a relatively broad class of remote control applications and NCSs.
CITATION STYLE
Morawski, M., & Ignaciuk, P. (2016). Adjustable sampling rate–an efficient way to reduce the impact of network-induced uncertainty in networked control systems? In Communications in Computer and Information Science (Vol. 608, pp. 329–343). Springer Verlag. https://doi.org/10.1007/978-3-319-39207-3_29
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