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Regret-Optimal Cross-Layer Co-Design in Networked Control Systems - Part I: General Case

Mamduhi, Mohammad H. (author)
ETH Zürich, Automatic Control Laboratory, Zürich, Switzerland, 8092
Maity, Dipankar (author)
The University of North Carolina at Charlotte, Department of Electrical and Computer Engineering, Charlotte, NC, USA, 28223
Johansson, Karl H., 1967- (author)
KTH,Reglerteknik,Digital Futures, Stockhom, Sweden
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Lygeros, John (author)
ETH Zürich, Automatic Control Laboratory, Zürich, Switzerland, 8092
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 (creator_code:org_t)
Institute of Electrical and Electronics Engineers (IEEE), 2023
2023
English.
In: IEEE Communications Letters. - : Institute of Electrical and Electronics Engineers (IEEE). - 1089-7798 .- 1558-2558. ; 27:11, s. 2874-2878
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Performance of control systems interacting over a shared communication network is tightly coupled with how the network provides services and distributes resources. Novel networking technology such as 5G is capable of providing tailored services for a variety of network demands. Stringent control requirements and their critical performance specification call for online adaptable and control-aware network services. This perspective suggests a co-design of physical and network layers aiming to ensure that the necessary quality-of-service is provided to achieve the desired quality-of-control. An optimal co-design is in general challenging due to cross-layer couplings between the physical and network layers and their layer-specific functionalities. Furthermore, the complexity of the co-design depends on the level of actionable information the layers share with each other. In this Part I of a two-letter series, we present a general co-design of physical operations and service allocation aiming to minimize a social regret measure for networked control systems. We introduce an optimal networked co-design scenario using the regret index as the joint quality-of-control and quality-of-service (QoC-QoS) measure, and discuss the role of cross-layer awareness in the structure of optimization problems. We mainly focus on the finite-horizon case but we briefly present the infinite-horizon case as well. In Part II, we discuss regret-optimal cross-layer policies for Gauss-Markov systems and derive the optimal solutions based on the general problems introduced in Part I.

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Reglerteknik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Control Engineering (hsv//eng)

Keyword

awareness structure
networked systems
QoC-QoS trade-off
Regret-optimal co-design
service allocation

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Mamduhi, Mohamma ...
Maity, Dipankar
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Lygeros, John
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ENGINEERING AND TECHNOLOGY
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Royal Institute of Technology

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