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CDC
2010
IEEE

Structural characterization of optimal event-based controllers for linear stochastic systems

10 years 6 months ago
Structural characterization of optimal event-based controllers for linear stochastic systems
Abstract-- Recent results in networked control systems indicate substantial benefits of event-based control compared to conventional designs. This paper identifies structural properties of optimal event-based controllers designed for stochastic linear systems. The controller is updated by measurements that are sent over a resource-constrained communication channel. The timings for sending updates are determined by an event-trigger whose decisions are based on noisy measurements. The objective is to design event-triggering mechanisms and controllers that optimally meet a trade-off between control performance and average number of update transmissions. It is shown that the optimal controller is a certainty equivalence controller with an affine linear estimator. The optimal event-trigger consists of a Kalman state estimator and a copy of the state predictor at the controller. The difference between both estimates determines, whether to trigger an update transmission. Numerical simulations...
Adam Molin, Sandra Hirche
Added 13 May 2011
Updated 13 May 2011
Type Journal
Year 2010
Where CDC
Authors Adam Molin, Sandra Hirche
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