Abstract
This paper studies system stability of Model-Based Networked Control Systems (MB-NCS). In MS-NCS, sensors send information through network to update model state. System estimation error is reset when packets are received. We define maximum interval between received packets as maximum update time (MUT) while assuming update frequency is constant. In practice, packet drops randomly. In this work, we assume that intervals between received packets follow Poisson Distribution. The result shows that system is stable if expected interval is less than MUT. This result is verified in simulations.
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© 2009 Springer-Verlag Berlin Heidelberg
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Teng, L., Wen, P. (2009). Stability Analysis of Model-Based Networked Control System with Unreliable Links. In: Wen, P., Li, Y., Polkowski, L., Yao, Y., Tsumoto, S., Wang, G. (eds) Rough Sets and Knowledge Technology. RSKT 2009. Lecture Notes in Computer Science(), vol 5589. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02962-2_48
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DOI: https://doi.org/10.1007/978-3-642-02962-2_48
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-02961-5
Online ISBN: 978-3-642-02962-2
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