Robust Reference Tracking of Linear Uncertain Systems via Uncertainty Estimation and Composite Control

  • Jun YANG
  • , Xinyu JIA
  • , Zhimin HOU
  • , Yongping PAN
  • , Haoyong YU*
  • *Corresponding author for this work

Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Researchpeer-review

1 Citation (Scopus)

Abstract

For linear systems with uncertainties and external disturbances, we present an uncertainty estimation and composite control (UECC) to achieve reference tracking and uncertainty estimation simultaneously. In this proposed UECC, we extract the uncertainty information from the error dynamics equation instead of the system dynamics. By reformulating the error dynamics equation as an algebraic equation using auxiliary variables, the need to measure state derivatives in the estimator and controller design is eliminated. Unlike timedelay control (TDC) and uncertainty and disturbance estimator (UDE) methods, we avoid the use of time delay and additional filtering operations to circumvent the noise amplification and oscillations in the control signal. Comparative simulations are provided to verify the effectiveness of the proposed method.

Original languageEnglish
Title of host publication2023 62nd IEEE Conference on Decision and Control, CDC 2023
PublisherIEEE
Pages6507-6512
Number of pages6
ISBN (Electronic)9798350301243
ISBN (Print)9798350301250
DOIs
Publication statusPublished - 2023
Externally publishedYes
Event62nd IEEE Conference on Decision and Control, CDC 2023 - Singapore, Singapore
Duration: 13 Dec 202315 Dec 2023

Publication series

NameProceedings of the IEEE Conference on Decision and Control
ISSN (Print)0743-1546
ISSN (Electronic)2576-2370

Conference

Conference62nd IEEE Conference on Decision and Control, CDC 2023
Country/TerritorySingapore
CitySingapore
Period13/12/2315/12/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Fingerprint

Dive into the research topics of 'Robust Reference Tracking of Linear Uncertain Systems via Uncertainty Estimation and Composite Control'. Together they form a unique fingerprint.

Cite this