A study on event triggering criteria for estimation
conference paper
To reduce the amount of data transfer in networked systems measurements are usually taken only when an event occurs rather than periodically in time. However, a fundamental assessment on the response of estimation algorithms receiving event sampled measurements is not available. This research presents such an analysis when new measurements are sampled at well-designed events and sent to a Luenberger observer. Conditions are then derived under which the estimation error is bounded, followed by an assessment of two event sampling strategies when the estimator encounters two different types of disturbances: an impulse and a step disturbance. The sampling strategies are compared via four performance measures, such as estimation-error and communication resources. The result is a clear insight of the estimation response in an event-based setup.
Topics
TNO Identifier
520155
ISBN
9788490123553
Publisher
IEEE
Article nr.
6916231
Source title
17th International Conference on Information Fusion, FUSION 2014, 7-10 July 2014, Salamanca, Spain
Place of publication
Piscataway, NJ
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