Anti-disturbance Optimal Control of Nonlinear Systems Based on Multi-source Disturbances

Wenyang Su, Peng Zhou, Xudong Wu, Qingcheng Shen, Yang Yi, Weixing Zheng

Research output: Chapter in Book / Conference PaperConference Paperpeer-review

Abstract

For a class of nonlinear systems with multi-source disturbances, this article discusses the problem of optimal control and anti-disturbance control. The plant considered is a nonlinear system wherein matched and mismatched disturbances exist simultaneously. A nonlinear disturbance observer (DO) is constructed to dynamical estimate and reject the matched disturbance in the input channel. In the meantime, according to optimal control theory, a controller is designed to reduce the impact of the mismatched disturbance and enhance the nonlinear system's ability to resist disturbance. Further, a stability criterion and an optimal control strategy are obtained by employing Lyapunov stability theory and adaptive dynamic programming (ADP) method. Finally, the performance of the proposed control scheme is validated through a series of comparative simulations.
Original languageEnglish
Title of host publication2023 42nd Chinese Control Conference, CCC 2023
PublisherIEEE Computer Society
Pages740-744
Number of pages5
ISBN (Electronic)9789887581543
DOIs
Publication statusPublished - 2023
Event42nd Chinese Control Conference, CCC 2023 - Tianjin, China
Duration: 24 Jul 202326 Jul 2023

Publication series

NameChinese Control Conference, CCC
Volume2023-July
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference42nd Chinese Control Conference, CCC 2023
Country/TerritoryChina
CityTianjin
Period24/07/2326/07/23

Bibliographical note

Publisher Copyright:
© 2023 Technical Committee on Control Theory, Chinese Association of Automation.

Keywords

  • Adaptive dynamic programming (ADP)
  • Disturbance observer based control (DOBC)
  • Lyapunov theory
  • Multi-source disturbances
  • Nonlinear systems

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