Stochastic sensor scheduling with application to networked control

Abstract

We consider stochastic sensor scheduling with application to networked control systems. We model sampling instances (in a networked system) using jumps between states of a continuous-time Markov chain. We introduce a cost function for this Markov chain which is composed of terms depending on the average sampling frequencies of the subsystems and the effort… (More)

10 Figures and Tables

Cite this paper

@article{Farokhi2013StochasticSS, title={Stochastic sensor scheduling with application to networked control}, author={Farhad Farokhi and Karl Henrik Johansson}, journal={2013 American Control Conference}, year={2013}, pages={2325-2332} }