Distributed Robust Adaptive Observer-Based Controller for Distributed Control Systems with Lipschitz Nonlinearities and Time Delays

Haseeb Fayyaz Abbasi, Naeem Iqbal, Muhammad Rehan

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

1 Scopus citations

Abstract

Distributed control systems (DCSs) with norm bounded parametric uncertainties and intrinsic time delays in subsystems and in their interactions are considered. Nonlinearities satisfy the generalized Lipschitz condition and assumption that states and parameters can be decoupled is taken into account. The problem of observer and controller design is dealt simultaneously and robust adaptive observer-based controller is designed. Linear matrix inequality (LMI) based results with equality constraints are derived, which not only estimate the states that are not available at output, but also stabilize the system though there are some unknown parameters. The efficiency of the approach is shown through an illustrative example.

Original languageEnglish
Title of host publicationProceedings - 2015 13th International Conference on Frontiers of Information Technology, FIT 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages185-192
Number of pages8
ISBN (Electronic)9781467396660
DOIs
StatePublished - 26 Feb 2016
Externally publishedYes
Event13th International Conference on Frontiers of Information Technology, FIT 2015 - Islamabad, Pakistan
Duration: 14 Dec 201516 Dec 2015

Publication series

NameProceedings - 2015 13th International Conference on Frontiers of Information Technology, FIT 2015

Conference

Conference13th International Conference on Frontiers of Information Technology, FIT 2015
Country/TerritoryPakistan
CityIslamabad
Period14/12/1516/12/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

  • Adaptive state observer
  • Distributed control systems
  • Generalized Lipschitz condition
  • Time delay systems

ASJC Scopus subject areas

  • Health Informatics
  • Computer Science Applications
  • Signal Processing

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