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Nonlinear disturbance observer based control for nonlinear dissipative PDE systems

  • Qingdao University of Technology
  • Ocean University of China

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

Abstract

A design method of finite dimensional nonlinear disturbance observer based control (NLDOBC) is proposed for a class of nonlinear dissipative partial differential equation (PDE) systems, where the disturbance is modeled by an exosystem of nonlinear ordinary differential equations (ODEs). Motivated by the fact that the dominant structure of the dissipative PDE is usually characterized by a finite number of degrees of freedom, the modal decomposition technique is initially applied to the PDE system to give a slow subsystem of low dimensional nonlinear ODEs. By using the nonlinear slow subsystem and exosystem, a nonlinear disturbance observer (NLDO) is constructed to estimate the disturbance. Then, on the basis of NLDO, an NLDOBC method is proposed in terms of linear matrix inequality (LMI) to ensure the exponential stability of the closed-loop PDE system in the presence of the modeled disturbance. Finally, the simulation results on control of one dimensional Fisher diffusion-reaction system show the effectiveness of the proposed method.

Original languageEnglish
Title of host publicationProceedings - 2017 Chinese Automation Congress, CAC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1460-1465
Number of pages6
ISBN (Electronic)9781538635247
DOIs
StatePublished - 29 Dec 2017
Event2017 Chinese Automation Congress, CAC 2017 - Jinan, China
Duration: 20 Oct 201722 Oct 2017

Publication series

NameProceedings - 2017 Chinese Automation Congress, CAC 2017
Volume2017-January

Conference

Conference2017 Chinese Automation Congress, CAC 2017
Country/TerritoryChina
CityJinan
Period20/10/1722/10/17

Keywords

  • disturbance rejection
  • linear matrix inequality (LMI)
  • nonlinear disturbance observer based control (NLDOBC)
  • partial differential equation (PDE)

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