Minimum Effort Decentralized Control Design for Contracting Network Systems

Ron Ofir; Francesco Bullo; Michael Margaliot

doi:https://doi.org/10.1109/LCSYS.2022.3176196

Minimum Effort Decentralized Control Design for Contracting Network Systems

Ron Ofir, Francesco Bullo, Michael Margaliot

School of Electrical Engineering

Tel Aviv University

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

Abstract

We consider the problem of making a networked system contracting by designing 'minimal effort' local controllers. Our method combines a hierarchical contraction characterization and a matrix-balancing approach to stabilizing a Metzler matrix via minimal diagonal perturbations. We demonstrate our approach by designing local controllers that render contractive a network of FitzHugh-Nagumo neurons with a general topology of interactions.

Original language	English
Pages (from-to)	2731-2736
Number of pages	6
Journal	IEEE Control Systems Letters
Volume	6
DOIs	https://doi.org/10.1109/LCSYS.2022.3176196
State	Published - 2022

Keywords

Networked control systems
neural networks
stability of nonlinear systems

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Control and Optimization

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https://doi.org/10.1109/LCSYS.2022.3176196

Cite this

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title = "Minimum Effort Decentralized Control Design for Contracting Network Systems",

abstract = "We consider the problem of making a networked system contracting by designing 'minimal effort' local controllers. Our method combines a hierarchical contraction characterization and a matrix-balancing approach to stabilizing a Metzler matrix via minimal diagonal perturbations. We demonstrate our approach by designing local controllers that render contractive a network of FitzHugh-Nagumo neurons with a general topology of interactions.",

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year = "2022",

doi = "https://doi.org/10.1109/LCSYS.2022.3176196",

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AU - Bullo, Francesco

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AB - We consider the problem of making a networked system contracting by designing 'minimal effort' local controllers. Our method combines a hierarchical contraction characterization and a matrix-balancing approach to stabilizing a Metzler matrix via minimal diagonal perturbations. We demonstrate our approach by designing local controllers that render contractive a network of FitzHugh-Nagumo neurons with a general topology of interactions.

KW - Networked control systems

KW - neural networks

KW - stability of nonlinear systems

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DO - https://doi.org/10.1109/LCSYS.2022.3176196

M3 - مقالة

SN - 2475-1456

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SP - 2731

EP - 2736

JO - IEEE Control Systems Letters

JF - IEEE Control Systems Letters

ER -

Minimum Effort Decentralized Control Design for Contracting Network Systems

Abstract

Keywords

All Science Journal Classification (ASJC) codes

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