Stochastic sensor scheduling with application to networked control
2013 (English)In: 2013 American Control Conference (ACC), AACC American Automatic Control Council , 2013, 2325-2332 p.Conference paper (Refereed)
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 needed for changing the parameters of the underlying Markov chain. By extending Brockett's recent contribution in optimal control of Markov chains, we extract an optimal scheduling policy to fairly allocate network resources (i.e., access to the network) among the control loops. We apply this scheduling policy to a networked control system composed of several scalar decoupled subsystems and compute upper bounds for their closed-loop performance. We illustrate the developed results numerically on a networked system composed of several water tanks.
Place, publisher, year, edition, pages
AACC American Automatic Control Council , 2013. 2325-2332 p.
, American Control Conference. Proceedings, ISSN 0743-1619
Closed-loop performance, Continuous time Markov chain, Networked controls, Networked systems, Optimal scheduling, Sampling frequencies, Scheduling policies, Stochastic sensors
IdentifiersURN: urn:nbn:se:kth:diva-133382ISI: 000327210202081ScopusID: 2-s2.0-8488349950ISBN: 978-147990177-7OAI: oai:DiVA.org:kth-133382DiVA: diva2:662010
2013 1st American Control Conference, ACC 2013; Washington, DC; United States; 17 June 2013 through 19 June 2013
QC 201311052013-11-052013-10-312014-01-07Bibliographically approved