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Stochastic Sensor Scheduling for Networked Control Systems
KTH, Skolan för elektro- och systemteknik (EES), Reglerteknik. KTH, Skolan för elektro- och systemteknik (EES), Centra, ACCESS Linnaeus Centre.
KTH, Skolan för elektro- och systemteknik (EES), Reglerteknik. KTH, Skolan för elektro- och systemteknik (EES), Centra, ACCESS Linnaeus Centre.ORCID-id: 0000-0001-9940-5929
2014 (engelsk)Inngår i: IEEE Transactions on Automatic Control, ISSN 0018-9286, E-ISSN 1558-2523, Vol. 59, nr 5, s. 1147-1162Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Optimal sensor scheduling with applications to networked estimation and control systems is considered. We model sensor measurement and transmission instances using jumps between states of a continuous-time Markov chain. We introduce a cost function for this Markov chain as the summation 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 minimizing this cost function through extending Brockett's recent approach to optimal control of Markov chains, we extract an optimal scheduling policy to fairly allocate the network resources among the control loops. We study the statistical properties of this scheduling policy in order to compute upper bounds for the closed-loop performance of the networked system, where several decoupled scalar subsystems are connected to their corresponding estimator or controller through a shared communication medium. We generalize the estimation results to observable subsystems of arbitrary order. Finally, we illustrate the developed results numerically on a networked system composed of several decoupled water tanks.

sted, utgiver, år, opplag, sider
2014. Vol. 59, nr 5, s. 1147-1162
Emneord [en]
Sensor scheduling, Markov processes, Sensor networks, Networked control and estimation, Stochastic optimal control
HSV kategori
Identifikatorer
URN: urn:nbn:se:kth:diva-141491DOI: 10.1109/TAC.2014.2298733ISI: 000335218900003Scopus ID: 2-s2.0-84899652016OAI: oai:DiVA.org:kth-141491DiVA, id: diva2:697248
Forskningsfinansiär
Swedish Research CouncilKnut and Alice Wallenberg Foundation
Merknad

QC 20140602

Tilgjengelig fra: 2014-02-17 Laget: 2014-02-17 Sist oppdatert: 2022-06-23bibliografisk kontrollert
Inngår i avhandling
1. Decentralized Control of Networked Systems: Information Asymmetries and Limitations
Åpne denne publikasjonen i ny fane eller vindu >>Decentralized Control of Networked Systems: Information Asymmetries and Limitations
2014 (engelsk)Doktoravhandling, med artikler (Annet vitenskapelig)
Abstract [en]

Designing local controllers for networked systems is challenging, because in these systems each local controller can often access only part of the overall information on system parameters and sensor measurements. Traditional control design cannot be easily applied due to the unconventional information patterns, communication network imperfections, and design procedure complexities. How to control large-scale systems is of immediate societal importance as they appear in many emerging applications, such as intelligent transportation systems, smart grids, and energy-efficient buildings. In this thesis, we make three contributions to the problem of designing networked controller under information asymmetries and limitations.

In the first contribution, we investigate how to design local controllers to optimize a cost function using only partial knowledge of the model governing the system. Specifically, we derive some fundamental limitations in the closed-loop performance when the design of each controller only relies on local plant model information. Results are characterized in the structure of the networked system as well as in the available model information. Both deterministic and stochastic formulations are considered for the closed-loop performance and the available information. In the second contribution of the thesis, we study decision making in transportation systems using heterogeneous routing and congestion games. It is shown that a desirable global behavior can emerge from simple local strategies used by the drivers to choose departure times and routes. Finally, the third contribution is a novel stochastic sensor scheduling policy for ad-hoc networked systems, where a varying number of control loops are active at any given time. It is shown that the policy provides stochastic guarantees for the network resources dynamically allocated to each loop.

sted, utgiver, år, opplag, sider
Stockholm: KTH Royal Institute of Technology, 2014. s. xii, 84
Serie
TRITA-EE, ISSN 1653-5146 ; 2014:003
Emneord
Networked Control Systems, Decentralized Control, Limited Model Information, Transportation Systems, Sensor Scheduling
HSV kategori
Identifikatorer
urn:nbn:se:kth:diva-141492 (URN)978-91-7595-021-1 (ISBN)
Disputas
2014-03-21, F3, Lindstedtsvägen 26, KTH, Stockholm, 10:00 (engelsk)
Opponent
Veileder
Merknad

QC 20140221

Tilgjengelig fra: 2014-02-21 Laget: 2014-02-17 Sist oppdatert: 2022-06-23bibliografisk kontrollert

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Johansson, Karl Henrik

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