Application of the Asymptotic Observers for the Stabilization of the Time-Delay Linear Equations

Research outputpeer-review

Abstract

Stabilization of the time-delay linear systems by using the static feedback is possible only for the limited value of the time delay in the control channel. In case of the exceeding such limit the further stabilization is impossible. However, the delay limit could be increased by using the number of asymptotic observers of the special kind. The basic idea lies in the equivalence of any realization of the system with certain transfer function which leads to the possibility of distribution of the delay by the several observers. Each observer has lesser delay value so overall limit is decreased. Theoretically, if there are enough observers it is possible to stabilize the system with arbitrary big delay. Moreover, such approach can improve dynamical characteristics in cases where delay value is small enough for the system to be stabilizable. The paper describes the structure and the synthesis method for such observers. The results of the experiments with the computer model are given for the demonstration of the derived regulator’s efficiency.

Original languageEnglish
Title of host publicationConvergent Cognitive Information Technologies - 3rd International Conference, Convergent 2018, Revised Selected Papers
EditorsVladimir Sukhomlin, Elena Zubareva
PublisherSpringer Nature
Pages223-230
Number of pages8
ISBN (Print)9783030374358
DOIs
Publication statusPublished - 2020
Event3rd International Scientific Conference on Convergent Cognitive Information Technologies, Convergent 2018 - Moscow
Duration: 29 Nov 20182 Dec 2018

Publication series

NameCommunications in Computer and Information Science
Volume1140 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference3rd International Scientific Conference on Convergent Cognitive Information Technologies, Convergent 2018
CountryRussian Federation
CityMoscow
Period29/11/182/12/18

Scopus subject areas

  • Computer Science(all)
  • Mathematics(all)

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