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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lanzhi Teng Peng Wen Wei Xiang |
| Copyright Year | 2008 |
| Description | Author affiliation: Fac. of Eng. & Surveying, Univ. of Southern Queensland, Toowoomba, QLD (Lanzhi Teng; Peng Wen; Wei Xiang) |
| 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. |
| Starting Page | 488 |
| Ending Page | 493 |
| File Size | 279872 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424422869 |
| DOI | 10.1109/ICARCV.2008.4795567 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-12-17 |
| Publisher Place | Vietnam |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Networked control systems Stability Stochastic processes Robotics and automation System performance Nonlinear filters Linear systems Linear matrix inequalities Automatic control Robot control System Stability Packet Drop Distribution Model-Based Networked Control System |
| Content Type | Text |
| Resource Type | Article |
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