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This paper investigates the remote state estimation problems for a class of linear discrete-time systems. An event-triggered scheme that schedules the transmissions between the sensor and the remote estimator is introduced so as to preserve the network resources. The communication process is assumed to suffer from the missing measurement phenomenon described by a Bernoulli distribution. Additionally,...
In this paper, we investigate the distributed filtering problems for a class of nonlinear continuous-time stochastic systems over wireless sensor networks. From a resource-efficient perspective, a multi-channel event-based mechanism is proposed to trigger the signal transmission that meets certain predefined conditions with hope to reduce the communication rate. A novel individual triggering threshold...
In this paper, the event-based finite-horizon filtering problem is investigated for discrete time-varying systems. For the purpose of reducing communication, a general event generator is employed to determine the event time instant and then transmit the measurement output to the remote time-varying filter. By utilizing the stochastic analysis techniques, sufficient conditions are derived for a finite-horizon...
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