Model-based networked control system stability based on packet drop distributions
Paper
Paper/Presentation Title | Model-based networked control system stability based on packet drop distributions |
---|---|
Presentation Type | Paper |
Authors | Teng, Lanzhi (Author), Wen, Peng (Author) and Xiang, Wei (Author) |
Editors | Wen, Changyun and Pham, Thuong Cat |
Journal or Proceedings Title | Proceedings of the 10th International Conference on Control, Automation, Robotics and Vision (ICARCV 2008) |
ERA Conference ID | 43298 |
Number of Pages | 6 |
Year | 2008 |
Place of Publication | Piscataway, NJ. United States |
ISBN | 9781424422876 |
Digital Object Identifier (DOI) | https://doi.org/10.1109/ICARCV.2008.4795567 |
Web Address (URL) of Paper | http://www.icarcv.org/2008/ |
Conference/Event | 10th International Conference on Control, Automation, Robotics and Vision (ICARCV 2008) |
International Conference on Control, Automation, Robotics and Vision | |
Event Details | International Conference on Control, Automation, Robotics and Vision ICARCV Rank A A A A A A A |
Event Details | 10th International Conference on Control, Automation, Robotics and Vision (ICARCV 2008) Event Date 17 to end of 20 Dec 2008 Event Location Hanoi, Vietnam |
Abstract | This paper studies the system stability of a Model-Based Networked Control System in the cases where packet losses follow a certain distributions. In this study, the unreliable nature of network links is modelled as a stochastic process. This process provides us two system structures, representing packets dropped and received respectively. This new system with two structures is asymptotically stable, if the plant model is updated with the data from plant within the maximum interval and the packet drop follows discrete distributions with finite expectations such as Uniform Distribution and Bernoulli distribution. If the packet loss follows discrete distributions with infinite expectation such as Poissonian Distribution, the stochastic system is stable when the biggest interval is limited to the maximal update time interval. These results are verified in simulations. |
Keywords | packet drop distribution; model-based networked control system; system stability |
ANZSRC Field of Research 2020 | 490510. Stochastic analysis and modelling |
400604. Network engineering | |
460207. Modelling and simulation | |
Public Notes | © 2008 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Byline Affiliations | Faculty of Engineering and Surveying |
Department of Electrical, Electronic and Computer Engineering |
https://research.usq.edu.au/item/9yyq2/model-based-networked-control-system-stability-based-on-packet-drop-distributions
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