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

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)


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 languageEnglish
Pages (from-to)3540-3548
Number of pages9
JournalIEEE Systems Journal
Issue number3
Publication statusPublished - 2021

Bibliographical note

Funding Information:
Manuscript received February 24, 2020; revised May 15, 2020; accepted May 19, 2020. Date of publication June 16, 2020; date of current version August 26, 2021. This work was supported in part by the National Natural Science Foundation of China under Grant 61873128 and Grant 61673219, in part by the Jiangsu Key Research and Development Plan under Grant BE2018004-3, in part by the National Research Foundation of Korea grant funded by the Korea Government, Ministry of Science and ICT, under Grant NRF-2020R1A2C1005449, and in part by the Brain Korea 21 Plus Project in 2020. (Corresponding authors: Zhengrong Xiang; Choon Ki Ahn.) Wenmin He, Shi Li, Jian Guo, and Zhengrong Xiang are with the School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China (e-mail:;;;

Publisher Copyright:
© 2020 IEEE.


  • 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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