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Estimate-based dynamic event-triggered output feedback control of networked nonlinear uncertain systems

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posted on 2021-08-04, 15:45 authored by Jiankun Sun, Jun YangJun Yang, Shihua Li, Wei Xing Zheng
This paper develops a new estimate-based dynamic event-triggered output feedback controller for networked control systems subject to nonlinear uncertainties. Specifically, based on the sampled-data, a discrete-time output feedback controller and a discrete-time dynamic event-triggering condition are proposed by the virtue of feedback domination technique. The proposed event-triggered control method is easy to implement in digital computers due to the form of discrete time. Under the proposed dynamic event-triggered control method, the selection regions of the sampling period and the scaling gain are explicitly given to guarantee the global practical/asymptotic stability of the closed-loop system. Finally, two examples are employed to verify the efficiency of the proposed dynamic event-triggered control approach.

Funding

National Natural Science Foundation of China under Grant 61473080, Grant 61573099, Grant 61750110525, and Grant 61633003

Australian Research Council under Grant DP120104986

NSW Cyber Security Network under Grant RG171961

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Aeronautical and Automotive Engineering

Published in

IEEE Transactions on Systems, Man, and Cybernetics: Systems

Volume

51

Issue

5

Pages

3148 - 3158

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Version

  • AM (Accepted Manuscript)

Rights holder

© IEEE

Publisher statement

© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Acceptance date

2019-05-10

Publication date

2019-06-12

Copyright date

2019

ISSN

2168-2216

eISSN

2168-2232

Language

  • en

Depositor

Dr Jun Yang. Deposit date: 29 July 2021

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