Global decentralized control of p-normal large-scale nonlinear systems based on sampled-data output feedback

Wenmin He; Shi Li; Choon Ki Ahn; Jian Guo; Zhengrong Xiang

doi:10.1109/JSYST.2020.2997029

Global decentralized control of p-normal large-scale nonlinear systems based on sampled-data output feedback

Wenmin He
, Shi Li
, Choon Ki Ahn^*
, Jian Guo
, Zhengrong Xiang^*

^*Corresponding author for this work

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

11 Citations (Scopus)

Abstract

This article considers the global decentralized sampled-data output feedback control problem for large-scale nonlinear systems in the p-normal form. To estimate unavailable states, a sampled-data observer is designed. Under suitable scaling gains and an allowable sampling period, a decentralized sampled-data control law is presented to ensure the globally asymptotically stability of the corresponding closed-loop system. Finally, simulation examples are provided to verify the validity of the designed strategy.

Original language	English
Pages (from-to)	3540-3548
Number of pages	9
Journal	IEEE Systems Journal
Volume	15
Issue number	3
DOIs	https://doi.org/10.1109/JSYST.2020.2997029
Publication status	Published - 2021

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

Keywords

Decentralized control
Large-scale systems
Nonlinear systems
Output feedback control
Sampled-data control

ASJC Scopus subject areas

Control and Systems Engineering
Information Systems
Computer Science Applications
Computer Networks and Communications
Electrical and Electronic Engineering

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10.1109/JSYST.2020.2997029

Cite this

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title = "Global decentralized control of p-normal large-scale nonlinear systems based on sampled-data output feedback",

abstract = "This article considers the global decentralized sampled-data output feedback control problem for large-scale nonlinear systems in the p-normal form. To estimate unavailable states, a sampled-data observer is designed. Under suitable scaling gains and an allowable sampling period, a decentralized sampled-data control law is presented to ensure the globally asymptotically stability of the corresponding closed-loop system. Finally, simulation examples are provided to verify the validity of the designed strategy.",

keywords = "Decentralized control, Large-scale systems, Nonlinear systems, Output feedback control, Sampled-data control",

author = "Wenmin He and Shi Li and Ahn, \{Choon Ki\} and Jian Guo and Zhengrong Xiang",

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AU - He, Wenmin

AU - Li, Shi

AU - Ahn, Choon Ki

AU - Guo, Jian

AU - Xiang, Zhengrong

PY - 2021

Y1 - 2021

N2 - This article considers the global decentralized sampled-data output feedback control problem for large-scale nonlinear systems in the p-normal form. To estimate unavailable states, a sampled-data observer is designed. Under suitable scaling gains and an allowable sampling period, a decentralized sampled-data control law is presented to ensure the globally asymptotically stability of the corresponding closed-loop system. Finally, simulation examples are provided to verify the validity of the designed strategy.

AB - This article considers the global decentralized sampled-data output feedback control problem for large-scale nonlinear systems in the p-normal form. To estimate unavailable states, a sampled-data observer is designed. Under suitable scaling gains and an allowable sampling period, a decentralized sampled-data control law is presented to ensure the globally asymptotically stability of the corresponding closed-loop system. Finally, simulation examples are provided to verify the validity of the designed strategy.

KW - Decentralized control

KW - Large-scale systems

KW - Nonlinear systems

KW - Output feedback control

KW - Sampled-data control

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DO - 10.1109/JSYST.2020.2997029

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JO - IEEE Systems Journal

JF - IEEE Systems Journal

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ER -

Global decentralized control of p-normal large-scale nonlinear systems based on sampled-data output feedback

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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