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Regret-Optimal Cros...
Regret-Optimal Cross-Layer Co-Design in Networked Control Systems - Part I: General Case
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- Mamduhi, Mohammad H. (author)
- ETH Zürich, Automatic Control Laboratory, Zürich, Switzerland, 8092
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- Maity, Dipankar (author)
- The University of North Carolina at Charlotte, Department of Electrical and Computer Engineering, Charlotte, NC, USA, 28223
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- 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.
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In: IEEE Communications Letters. - : Institute of Electrical and Electronics Engineers (IEEE). - 1089-7798 .- 1558-2558. ; 27:11, s. 2874-2878
- Related links:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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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
Publication and Content Type
- ref (subject category)
- art (subject category)
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