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Networked State Estimation Over a Shared Communication Medium

delete2017-04-01
delete43
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OA
AI
M
Meng Xia *
V
Vijay Gupta
P
Panos J. Antsaklis
DOI:10.1109/TAC.2016.2593645delete
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摘要

摘要

En 中文
We consider state estimation for multiple plants across a shared communication network. Each linear time-invariant plant transmits information through the common network according to either a time-triggered or an event-triggered rule. For an event-triggered algorithm with carrier sense multiple access (CSMA), each plant is assumed to access the network based on a priority mechanism. For a time-triggered algorithm combined with time division multiple access (TDMA), each plant uses the network according to a schedule that is decided a priori. Performance in terms of the communication frequency and the estimation error covariance is analytically characterized for event-triggered schemes. Using these characterizations, we show that event-triggered schemes may perform worse than time-triggered schemes when the effect of the communication network is explicitly considered.
Keyword:
Discrete-time systems
event-triggered method
Markov processes
multiple-access
networked control systems
performance evaluation
state estimation
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期刊

IEEE Transactions on Automatic Control 封面图
IEEE Transactions on Automatic Control
IF:
7
论文数:
1.3W
被引数:
6.7W

机构

U
University of Notre Dame
学者数:
1.2W
论文数: 1.1W
被引数: 1.7W
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