Output Regulation of Nonlinear Systems by an Emulation-Based Approach

Jieshuai Wu*, Maobin Lu, Fang Deng, Jie Chen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

In this paper, we investigate the semi-global robust output regulation problem of a class of nonlinear networked control systems by an emulation approach. We propose a class of sampled-data control laws to solve this problem. In particular, by the emulation approach, we first develop a class of sampled-data dynamic output feedback control laws. Then, based on the internal model principle, we convert the semi-global robust output regulation problem into a semi-global robust stabilization problem of an augmented hybrid system composed of the internal model and the original system. Next, we show that semi-global robust stabilization of the augmented hybrid system can be achieved by a sampled-data control law and thus leading to the solution of the semi-global robust output regulation problem. Finally, an example is given to illustrate our control approach.

Original languageEnglish
Title of host publication2023 American Control Conference, ACC 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4779-4784
Number of pages6
ISBN (Electronic)9798350328066
DOIs
Publication statusPublished - 2023
Event2023 American Control Conference, ACC 2023 - San Diego, United States
Duration: 31 May 20232 Jun 2023

Publication series

NameProceedings of the American Control Conference
Volume2023-May
ISSN (Print)0743-1619

Conference

Conference2023 American Control Conference, ACC 2023
Country/TerritoryUnited States
CitySan Diego
Period31/05/232/06/23

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