Stability analysis of model-based networked control system with unreliable links

Teng, Lanzhi and Wen, Peng (2009) Stability analysis of model-based networked control system with unreliable links. In: 4th International Conference on Rough Sets and Knowledge Technology (RSKT 2009), 14-16 Jul 2009, Gold Coast, Australia.

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Abstract

This paper studies the system stability of a Model-Based Networked Control System (MB-NCS). In the MS-NCS, the sensors send information through the network to update the model state. The system estimation error is reset when the packets are received. We define the maximum interval between the received packets as the maximum update time(MUT)while assuming the update frequency is constant. In practice, packet drops randomly. In this work, we assume that intervals between the received packets follow Poisson Distribution. The result shows that the system is stable if the expected interval is less than MUT. This result is verified in simulations.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: © 2009 Springer Berlin Heidelberg. Permanent restricted access to published version due to publisher copyright policy. Print copy held USQ Library 006.3 Rou. Author's version deposited in accordance with the copyright policy of the publisher.
Depositing User: Dr Paul Wen
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Electrical, Electronic and Computer Engineering
Date Deposited: 03 Aug 2011 05:44
Last Modified: 24 Nov 2014 03:24
Uncontrolled Keywords: packet loss distribution; model-based networked control system; system stability; poisson packet drop
Fields of Research (FOR2008): 08 Information and Computing Sciences > 0805 Distributed Computing > 080503 Networking and Communications
08 Information and Computing Sciences > 0805 Distributed Computing > 080502 Mobile Technologies
09 Engineering > 0906 Electrical and Electronic Engineering > 090602 Control Systems, Robotics and Automation
Socio-Economic Objective (SEO2008): E Expanding Knowledge > 97 Expanding Knowledge > 970109 Expanding Knowledge in Engineering
Identification Number or DOI: 10.1007/978-3-642-02962-2_48
URI: http://eprints.usq.edu.au/id/eprint/6664

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