Abstract
We consider a control loop with several distributed sensor agents. Each sensor measures a subset of the states and broadcasts data to a remote controller and the other sensors according to a threshold-based event-triggered policy. This policy specifies that each sensor transmits data when the norm of the error between the actual measurement and an estimate of this measurement exceeds a threshold. The controller incorporates a state estimator relying on the data received from the sensors and enforces a linear feedback control policy. Considering an average quadratic performance index, we provide: (i) upper bounds on the performance of such a decentralized event-triggered policy with respect to the optimal policy when all the agents transmit at maximum rate; and (ii) lower bounds on the average inter-transmission time for the overall networked control system. Moreover, we discuss the conservativeness of the bounds considering some simple cases. The usefulness of the results is highlighted via a numerical example.
| Original language | English |
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| Title of host publication | 2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017 |
| Place of Publication | Piscataway |
| Publisher | Institute of Electrical and Electronics Engineers |
| Pages | 6702-6707 |
| Number of pages | 6 |
| ISBN (Electronic) | 978-1-5090-2873-3 |
| ISBN (Print) | 978-1-5090-2874-0 |
| DOIs | |
| Publication status | Published - 18 Jan 2018 |
| Event | 56th IEEE Conference on Decision and Control (CDC 2017) - Melbourne, Australia Duration: 12 Dec 2017 → 15 Dec 2017 Conference number: 56 http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8253407 |
Conference
| Conference | 56th IEEE Conference on Decision and Control (CDC 2017) |
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| Abbreviated title | CDC 2017 |
| Country/Territory | Australia |
| City | Melbourne |
| Period | 12/12/17 → 15/12/17 |
| Internet address |