Name
Abstract | ||
|---|---|---|
Typical digital implementations of feedback controllers periodically measure the state, compute the control law, and update the actuators. Although periodicity simplifies the analysis and implementation, it results in a conservative usage of resources. In this paper we drop the periodicity assumption in favor of self-trigger strategies that decide when to measure the state, execute the controller, and update the actuators according to the current state of the system. In particular, we develop a general procedure leading to self-triggered implementations of feedback controllers, that highly reduces the number of controller executions while guaranteeing a desired level of performance. We also analyze the inherent trade-off between the computational resources required for the self-triggered implementation and the resulting performance. The theoretical results are applied to a physical example to show the benefits of the approach. |
Year | Venue | Keywords |
|---|---|---|
2009 | Control Conference | linear systems,control systems,vectors,time complexity |
Field | DocType | ISBN |
Control theory,Linear system,Control theory,Computer science,Implementation,Control engineering,Control system,Time complexity,Actuator | Conference | 978-3-9524173-9-3 |
Citations | PageRank | References |
42 | 4.21 | 4 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Manuel Mazo Jr | 1 | 673 | 49.71 |
| Adolfo Anta | 2 | 368 | 25.53 |
| Paulo Tabuada | 3 | 4281 | 264.80 |