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Predictor-based global sampled-data output feedback stabilization for nonlinear uncertain systems subject to delayed output

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posted on 2022-11-10, 16:59 authored by Jiankun Sun, Jun YangJun Yang, Shihua Li, Zhigang Zeng
In this paper, we address the problem of global sampled-data output feedback stabilization for a class of nonlinear uncertain systems with delayed output using the continuous-discrete method. Thanks to the prediction technique and feedback domination method, a novel coupled design method of predictor-based continuous-discrete observer and linear controller is proposed when only delayed sampled-data output is accessible. The proposed predictor-based observer can effectively estimate the unknown state by compensating the influences of sampling and output delay. The main advantage of the proposed control method is that the full state information and accurate model nonlinearities do not need to be known any more. The global exponential stability of the overall hybrid control system can be ensured when there hold some sufficient conditions with respect to the maximum allowable sampling period and output delay.

Funding

Research on Nonsmooth Control Theory and Application for Some Nonlinear Systems

National Natural Science Foundation of China

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Analysis and Synthesis of Multi-source Interference Cancellation and Suppression in Full Control Loop

National Natural Science Foundation of China

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National Natural Science Foundation of China under Grant 62003144

Technology Innovation Project of Hubei Province of China under Grant 2019AEA171

National Postdoctoral Program for Innovative Talents of China under Grant BX20200140

Postdoctoral Science Foundation of China under Grant 2020M682415

111 Project on Computational Intelligence and Intelligent Control under Grant B18024

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Aeronautical and Automotive Engineering

Published in

IEEE Transactions on Automatic Control

Publisher

IEEE

Version

  • AM (Accepted Manuscript)

Rights holder

© IEEE

Publisher statement

© 2022 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

2022-02-27

Publication date

2022-03-17

Copyright date

2022

ISSN

0018-9286

eISSN

1558-2523

Language

  • en

Depositor

Dr Jun Yang. Deposit date: 10 November 2022

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