Regret-Optimal Cross-Layer Co-Design in Networked Control Systems—Part II: Gauss-Markov Case

Dipankar Maity; Mohammad H. Mamduhi; John Lygeros; Karl H. Johansson

doi:10.1109/LCOMM.2023.3312644

Regret-Optimal Cross-Layer Co-Design in Networked Control Systems—Part II: Gauss-Markov Case

Dipankar Maity, Mohammad H. Mamduhi, John Lygeros, Karl H. Johansson

Computer Science

Research output: Contribution to journal › Letter › peer-review

Abstract

In the first part of this two-letter series, we proposed a cross-layer framework for joint optimal Quality-of-Control (QoC) and Quality-of-Service (QoS) co-design for networked control systems. In this second part, we employ this framework to perform optimal co-design for networked control systems comprising multiple Gauss-Markov systems. We analytically derive the joint optimal policies based on the information couplings between the physical and the network layers. A numerical case study illustrates the framework.

Original language	English
Article number	10243075
Pages (from-to)	2879-2883
Number of pages	5
Journal	IEEE Communications Letters
Volume	27
Issue number	11
Early online date	7 Sept 2023
DOIs	https://doi.org/10.1109/LCOMM.2023.3312644
Publication status	Published - Nov 2023

Keywords

Quality of service
Costs
Resource management
Control systems
Quantization (signal)
Communication networks
Infinite horizon

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10.1109/LCOMM.2023.3312644

https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10243075

Cite this

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title = "Regret-Optimal Cross-Layer Co-Design in Networked Control Systems—Part II: Gauss-Markov Case",

abstract = "In the first part of this two-letter series, we proposed a cross-layer framework for joint optimal Quality-of-Control (QoC) and Quality-of-Service (QoS) co-design for networked control systems. In this second part, we employ this framework to perform optimal co-design for networked control systems comprising multiple Gauss-Markov systems. We analytically derive the joint optimal policies based on the information couplings between the physical and the network layers. A numerical case study illustrates the framework.",

keywords = "Quality of service, Costs, Resource management, Control systems, Quantization (signal), Communication networks, Infinite horizon",

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AU - Maity, Dipankar

AU - Mamduhi, Mohammad H.

AU - Lygeros, John

AU - Johansson, Karl H.

PY - 2023/11

Y1 - 2023/11

N2 - In the first part of this two-letter series, we proposed a cross-layer framework for joint optimal Quality-of-Control (QoC) and Quality-of-Service (QoS) co-design for networked control systems. In this second part, we employ this framework to perform optimal co-design for networked control systems comprising multiple Gauss-Markov systems. We analytically derive the joint optimal policies based on the information couplings between the physical and the network layers. A numerical case study illustrates the framework.

AB - In the first part of this two-letter series, we proposed a cross-layer framework for joint optimal Quality-of-Control (QoC) and Quality-of-Service (QoS) co-design for networked control systems. In this second part, we employ this framework to perform optimal co-design for networked control systems comprising multiple Gauss-Markov systems. We analytically derive the joint optimal policies based on the information couplings between the physical and the network layers. A numerical case study illustrates the framework.

KW - Quality of service

KW - Costs

KW - Resource management

KW - Control systems

KW - Quantization (signal)

KW - Communication networks

KW - Infinite horizon

U2 - 10.1109/LCOMM.2023.3312644

DO - 10.1109/LCOMM.2023.3312644

M3 - Letter

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JO - IEEE Communications Letters

JF - IEEE Communications Letters

IS - 11

M1 - 10243075

ER -

Regret-Optimal Cross-Layer Co-Design in Networked Control Systems—Part II: Gauss-Markov Case

Abstract

Keywords

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