Name
Abstract | ||
|---|---|---|
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. |
Year | Venue | Keywords |
|---|---|---|
2014 | Information Fusion | control system analysis,networked control systems,observers,sampling methods,Luenberger observer,communication resource measure,data transfer,estimation algorithms,estimation-error measure,event sampled measurements,event sampling strategy,event triggering criteria,impulse disturbance,networked system measurement,performance measures,state estimation,step disturbance |
Field | DocType | Citations |
State observer,Data transmission,Control theory,Computer science,Impulse (physics),Sampling (statistics),Bounded function,Estimator | Conference | 11 |
PageRank | References | Authors |
0.66 | 2 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Joris Sijs | 1 | 135 | 9.03 |
| Leon Kester | 2 | 11 | 0.66 |
| Benjamin Noack | 3 | 168 | 23.73 |