Stochastic Control with Stale Information-Part I: Fully Observable Systems
2019 (English)In: Proceedings of the IEEE Conference on Decision and Control, Institute of Electrical and Electronics Engineers Inc. , 2019, p. 4178-4182Conference paper, Published paper (Refereed)
Abstract [en]
Timeliness is an emerging requirement for cyber-physical systems, where the value of information can quickly diminish with time. Nevertheless, there are different imperfections and constraints that hinder the immediate access of decision makers to the latest states of such systems. This obliges the designers of these systems to study the impact of information staleness on the control performance. In this paper, we focus on control with stale information and study a trade-off between the information staleness and control performance. To this purpose, we design a test channel in which the staleness of observations is chosen deliberatively. This test channel should be regarded as an abstract model that allows us to obtain the achievable region in our trade-off analysis. Based on this trade-off, the performance of any communication channel with time-varying delay used for control applications can be assessed, and the maximum staleness that is tolerable for stability can be specified.
Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2019. p. 4178-4182
Keywords [en]
age of information, communication channel, estimation, freshness of information, optimal control, status update, time-varying delay, Communication channels (information theory), Decision making, Economic and social effects, Embedded systems, Stochastic systems, Time delay, Time varying networks, Optimal controls, Status updates, Time varying- delays, Time varying control systems
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-274108DOI: 10.1109/CDC40024.2019.9029447ISI: 000560779003130Scopus ID: 2-s2.0-85082436522OAI: oai:DiVA.org:kth-274108DiVA, id: diva2:1451490
Conference
58th IEEE Conference on Decision and Control, CDC 2019, 11 December 2019 through 13 December 2019
Note
QC 20200702
Part of ISBN 9781728113982
2020-07-022020-07-022024-10-23Bibliographically approved