Relevant sampling applied to event-based state-estimation
conference paper
To reduce the amount of data transfer in networked control systems and wireless sensor networks, measurements are usually sampled only when an event occurs, rather than synchronous in time. Today's event sampling methodologies are triggered by the current value of the sensor. State-estimators are designed to cope with such methods. In this paper we propose a sampling method in which an event is triggered depending on the reduction of the estimator's uncertainty and estimation-error. As such, communication requirements are minimized while attaining a certain errorcovariance matrix and estimation error at the state-estimator. Furthermore, it is proven that the error-covariance matrix is asymptotically bounded in case the designed sampling protocol is combined with an event-based state-estimator. An illustrative example shows that the developed protocol provides an improved state estimation, while minimizing communication between sensor and state-estimator. © 2010 IEEE.
Topics
Distributed estimationIntelligent sensorsState estimationDistributed estimationEstimation errorsEvent-basedIllustrative examplesIntelligent sensorsmatrixNetworked control systemsSampling methodSampling protocolControl system analysisCovariance matrixData transferIntelligent controlSampled data control systemsSmart sensorsState estimationWireless sensor networksEstimation
TNO Identifier
425164
Source title
4th International Conference on Sensor Technologies and Applications, SENSORCOMM 2010, 18 July 2010 through 25 July 2010, Venice, Italy. Conference code: 81871
Collation
7 p.
Pages
618-624
Files
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