Abstract
AbstractThis paper studies a kind of distributed robust state estimation problem based on adaptive event trigger mechanism. First, an adaptive trigger mechanism is introduced to reduce the communication burden between the sensor network and the filter network. Then, Markov chain is used to describe the random switching of the filter network communication topology. The purpose of this paper is to obtain a distributed full-order filter under the condition of linear matrix inequality (LMI), and to ensure the stability of the mean square exponential of the filtering dynamic system under the given l2-l∞ performance index. Finally, a simulation example verifies the effectiveness of the design method.KeywordsSensor networksSwitching topologyAdaptive event-triggeredDistributed filtering
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