LQG Control and Scheduling Co-Design for Wireless Sensor and Actuator Networks
2018 (English)In: IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC, Institute of Electrical and Electronics Engineers Inc. , 2018Conference paper, Published paper (Refereed)
Abstract [en]
This paper studies a co-design problem of control, scheduling and routing over a multi-hop sensor and actuator network subject to energy-saving consideration. Sensors are observing multiple independent linear systems and transmit their data to actuators in which controllers are co-located. We formulate an optimization problem, minimizing a linear combination of the averaged linear quadratic Gaussian control performance and the averaged transmission energy consumption. Optimal solutions are derived and their performance is illustrated in a numerical example. Algorithms to reconfigure routing between sensors and actuators in case of link disconnection are also provided.
Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2018.
Keywords [en]
LQG control, wireless sensor and actuator networks, Actuators, Energy conservation, Energy utilization, Linear systems, Robustness (control systems), Scheduling, Signal processing, Wireless telecommunication systems, Linear quadratic Gaussian control, Optimization problems, Scheduling and routing, Sensor and actuators, Sensors and actuators, Transmission energy consumption, Wireless sensor networks
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-238003DOI: 10.1109/SPAWC.2018.8445965ISI: 000451080200030Scopus ID: 2-s2.0-85053462215ISBN: 9781538635124 (print)OAI: oai:DiVA.org:kth-238003DiVA, id: diva2:1279055
Conference
19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2018, 25 June 2018 through 28 June 2018
Note
Conference code: 139030; Export Date: 30 October 2018; Conference Paper; Funding details: VR, Vetenskapsrådet; Funding details: Knut och Alice Wallenbergs Stiftelse; Funding details: VINNOVA; Funding text: *This work was supported in part by the VINNOVA PiiA project “Advancing System Integration in Process Industry,” the Knut and Alice Wallenberg Foundation, the Swedish Strategic Research Foundation, and the Swedish Research Council.
QC 20190115
2019-01-152019-01-152022-06-26Bibliographically approved