Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/97876
Title: Kalman filtering with scheduled measurements - part I : estimation framework
Authors: You, Keyou
Xie, Lihua
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2012
Source: You, K., & Xie, L. (2012). Kalman filtering with scheduled measurements - Part I: Estimation framework. 2012 10th World Congress on Intelligent Control and Automation (WCICA).
Abstract: This paper proposes an estimation framework under scheduled measurements for linear discrete-time stochastic systems. Both controllable and uncontrollable schedulers are considered. Under a controllable scheduler, only the normalized measurement innovation greater than a threshold will be communicated to the estimator. While under an uncontrollable scheduler, the time duration between consecutive sensor communications is triggered by an independent and identically distributed process. For both types of scheduler, recursive estimators that achieve the minimum mean square estimation error are derived, respectively. Moreover, necessary and sufficient conditions for stability of the mean square estimation error are provided.
URI: https://hdl.handle.net/10356/97876
http://hdl.handle.net/10220/12321
DOI: http://dx.doi.org/10.1109/WCICA.2012.6358249
Rights: © 2012 IEEE.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:EEE Conference Papers

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