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The problem of event-triggered state estimation for a class of delayed recurrent neural networks with quantization is presented in this paper. In order to save the limited communication resource, a novel event-triggered scheme is constructed to determine whether or not the current sampled data should be transmitted to quantizer. A Luenberger-type state estimator is proposed based on incomplete measurements...
This paper considers consensus of multi-agent systems (MASs) with random packet dropout based on Kalman filter. The Kalman filter is used to estimate current state of agents due to immeasurable output or state data. The relationship between packet dropout rate and the consensus ability of MASs is obtained. And the critical rate of packet dropout is gained. One step prediction method which can decrease...
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