TY - JOUR N2 - This paper investigates state estimation of linear time-invariant systems where the sensors and controllers are geographically separated and connected over limited capacity, additive white Gaussian noise (AWGN) communication channels. Such channels are viewed as dropout (erasure) channels. In particular, we consider the case with limited data rates, present a necessary and sufficient condition on the data rate for mean square observability over an AWGN channel. The system is mean square observable if the data rate of the channel is larger than the lower bound given. It is shown in our results that there exist the inherent tradeoffs among the limited data rate, dropout probability, and observability. An illustrative example is given to demonstrate the effectiveness of the proposed scheme. L1 - http://www.journals.pan.pl/Content/114629/PDF/ACS-2019-4-7.pdf L2 - http://www.journals.pan.pl/Content/114629 PY - 2019 IS - No 4 EP - 697 DO - 10.24425/acs.2019.131232 KW - linear time-invariant systems KW - limited capacity KW - observability KW - state estimation KW - networked control KW - data rate A1 - Liu, Qingquan A1 - Ding, Rui A1 - Chen, Chunqiang PB - Committee of Automatic Control and Robotics PAS VL - vol. 29 DA - 2019.11.28 T1 - State estimation of networked control systems over limited capacity and dropout channels SP - 687 UR - http://www.journals.pan.pl/dlibra/publication/edition/114629 T2 - Archives of Control Sciences ER -