Data-Driven Control Based on Function Approximation with Binomial Coefficients

Guoliang Zhu, Lei Chen, Kexin Liu, Jinhu Lu

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

Abstract

This paper investigates data-driven control methods based on function approximation with binomial coefficients and sampling techniques. We propose two approximate models and corresponding controllers formed from sampled data. It shows that the information truncated in the first approximate model is saved in the latter with parameter estimation method. Simulation results validate the effectiveness of proposed approaches.

Original languageEnglish
Title of host publicationProceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages6179-6184
Number of pages6
ISBN (Electronic)9781665440899
DOIs
Publication statusPublished - 2021
Event33rd Chinese Control and Decision Conference, CCDC 2021 - Kunming, China
Duration: 22 May 202124 May 2021

Publication series

NameProceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021

Conference

Conference33rd Chinese Control and Decision Conference, CCDC 2021
Country/TerritoryChina
CityKunming
Period22/05/2124/05/21

Keywords

  • Adaptive control
  • Approximate theory
  • Binomial coefficients
  • Function approximation
  • Sampled-data driven systems

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