On event based state estimation
conference paper
To reduce the amount of data transfer in networked control systems and wireless sensor networks, measurements are usually taken only when an event occurs, rather than at each synchronous sampling instant. However, this complicates estimation and control problems considerably. The goal of this paper is to develop a state estimation algorithm that can successfully cope with event based measurements. Firstly, we propose a general methodology for defining event based sampling. Secondly, we develop a state estimator with a hybrid update, i.e. when an event occurs the estimated state is updated using measurements; otherwise the update makes use of the knowledge that the monitored variable is within a bounded set that defines the event. A sum of Gaussians approach is employed to obtain a computationally tractable algorithm.
Topics
Control problemsEstimated stateEvent-basedEvent-based measurementGaussiansNetworked control systemsState estimation algorithmsState EstimatorsSynchronous samplingTractable algorithmsControl system analysisData transferElectric groundingEstimationHybrid computersHybrid systemsState estimationWireless sensor networks
TNO Identifier
241641
ISSN
03029743
ISBN
9783642006012
Source title
12th International Conference on Hybrid Systems: Computation and Control, HSCC 2009, 13 April 2009 through 15 April 2009, San Francisco, CA, USA.
Conference code: 76496
Conference code: 76496
Pages
336-350
Files
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