Teng, Lanzhi and Wen, Peng and Xiang, Wei (2008) Model-based networked control system stability based on packet drop distributions. In: ICARCV 2008: 10th International Conference on Control, Automation, Robotics and Vision, 17-20 Dec 2008, Hanoi, Vietnam.
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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.
|Item Type:||Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)|
|Additional Information:||Author's version deposited in accordance with the copyright policy of the publisher.|
|Uncontrolled Keywords:||packet drop distribution; model-based networked control system; system stability|
|Subjects:||280000 Information, Computing and Communication Sciences > 280200 Artificial Intelligence and Signal and Image Processing > 280210 Simulation and Modelling|
|Depositing User:||Ms Lanzhi Teng|
|Date Deposited:||16 Feb 2009 11:42|
|Last Modified:||02 Jul 2013 23:13|
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