An energy-efficient data transmission scheme for remote state estimation is proposed and experimentally evaluated in this paper. This new transmission strategy is presented by proving an upper bound of the system performance. Stability of the remote estimator is proved under the condition that some of the observation measurements are lost in a random probability. An experimental platform of two coupled water tanks with a wireless sensor node is established to evaluate and verify the proposed transmission scheme.
Keywords: Kalman filters; Packet-dropping networks; Transmission strategies.
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