A Stochastic Online Sensor Scheduler for Remote State Estimation With Time-Out Condition
This technical note considers remote state estimation subject to limited sensor-estimator communication rate. We propose a stochastic online sensor scheduler for remote state estimation with time-out condition. The decision rule under which the sensor sends data is based on its measurements and a fi...
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| Published in | IEEE transactions on automatic control Vol. 59; no. 11; pp. 3110 - 3116 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
New York
IEEE
01.11.2014
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0018-9286 1558-2523 1558-2523 |
| DOI | 10.1109/TAC.2014.2322153 |
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| Abstract | This technical note considers remote state estimation subject to limited sensor-estimator communication rate. We propose a stochastic online sensor scheduler for remote state estimation with time-out condition. The decision rule under which the sensor sends data is based on its measurements and a finite-state holding time between the present and the most recent sensor-to-estimator communication instance. This decision process is formulated as an optimization problem, relaxed and solved using generalized geometric programming optimization techniques with a low computational complexity. Moreover, the proposed scheduler is easy to execute, and provides a guaranteed performance which is shown to outperform the optimal offline scheduler. Numerical examples are provided to illustrate the proposed scheduler. |
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| AbstractList | This technical note considers remote state estimation subject to limited sensor-estimator communication rate. We propose A Stochastic Online Sensor Scheduler for Remote State Estimation With Time-Out Condition. The decision rule under which the sensor sends data is based on its measurements and a finite-state holding time between the present and the most recent sensor-to-estimator communication instance. This decision process is formulated as an optimization problem, relaxed and solved using generalized geometric programming optimization techniques with a low computational complexity. Moreover, the proposed scheduler is easy to execute, and provides a guaranteed performance which is shown to outperform the optimal offline scheduler. Numerical examples are provided to illustrate the proposed scheduler. |
| Author | Ling Shi Junfeng Wu Johansson, Karl Henrik |
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| Snippet | This technical note considers remote state estimation subject to limited sensor-estimator communication rate. We propose a stochastic online sensor scheduler... This technical note considers remote state estimation subject to limited sensor-estimator communication rate. We propose A Stochastic Online Sensor Scheduler... |
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| SubjectTerms | Automatic control Estimation error Generalized geometric programming (GGP) Markov processes Mathematical models networked control systems (NCSs) Online Optimization Programming Schedules Sensors State estimation Stochasticity Upper bound |
| Title | A Stochastic Online Sensor Scheduler for Remote State Estimation With Time-Out Condition |
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