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|Title:||Event-triggered robust distributed state estimation for sensor networks with state-dependent noises|
|Keywords:||Distributed state estimation;Randomly occurring uncertainties;Sensor networks;State-dependent noises|
|Publisher:||Taylor and Francis Ltd.|
|Citation:||International Journal of General Systems, 44 (2): 254 - 266, 2015|
|Abstract:||This paper is concerned with the event-triggered distributed state estimation problem for a class of uncertain stochastic systems with state-dependent noises and randomly occurring uncertainties over sensor networks. An event-triggered communication scheme is proposed in order to determine whether the measurements on each sensor should be transmitted to the estimators or not. The norm-bounded uncertainty enters into the system in a random way. Through available output measurements from not only the individual sensor but also its neighbouring sensors, a sufficient condition is established for the desired distributed estimator to ensure that the estimation error dynamics are exponentially mean-square stable. These conditions are characterized in terms of the feasibility of a set of linear matrix inequalities, and then the explicit expression is given for the distributed estimator gains. Finally, a simulation example is provided to show the effectiveness of the proposed event-triggered distributed state estimation scheme.|
|Appears in Collections:||Dept of Computer Science Research Papers|
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