Yuan, Y and Shi, L (2012) Minimum sensor duty cycle with guaranteed estimator performance. 2012 IEEE International Conference on Information and Automation, ICIA 2012. pp. 253-258.Full text not available from this repository.
In this paper, we consider Kalman filtering over a network and construct the optimal sensor data scheduling schemes which minimize the sensor duty cycle and guarantee a bounded error or a bounded average error at the remote estimator. Depending on the computation capability of the sensor, we can either give a closed-form expression of the minimum sensor duty cycle or provide tight lower and upper bounds of it. Examples are provided throughout the paper to demonstrate the results. © 2012 IEEE.
|Divisions:||Div F > Control|
|Depositing User:||Cron Job|
|Date Deposited:||02 Sep 2016 18:29|
|Last Modified:||08 Dec 2016 09:32|