Decentralized Observer-based Controller Design for Linear Interconnected Systems

Helisyah Nur Fadhilah, Mardlijah, Didik Khusnul Arif, Guisheng Zhai, Dieky Adzkiya

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Many natural processes are shown as interconnected systems. Therefore, the decentralized controller is proposed to eliminate a loss that can cause all systems to fail. In most practical cases, some system states are unmeasurable, so an observer to estimate the state value is considered. Since the observer-based decentralized controller is represented as Bilinear Matrix Inequality (BMI), we use an efficient method to compute a feasible solution for BMI. A Homotopy method solves BMI by fixing unknown variables such that the inequality matrix can be solved by Linear Matrix Inequality (LMI). We present a numerical example to validate the proposed method.

Original languageEnglish
Title of host publication2022 International Seminar on Intelligent Technology and Its Applications
Subtitle of host publicationAdvanced Innovations of Electrical Systems for Humanity, ISITIA 2022 - Proceeding
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages250-255
Number of pages6
ISBN (Electronic)9781665460811
DOIs
Publication statusPublished - 2022
Event23rd International Seminar on Intelligent Technology and Its Applications, ISITIA 2022 - Virtual, Surabaya, Indonesia
Duration: 2022 Jul 202022 Jul 21

Publication series

Name2022 International Seminar on Intelligent Technology and Its Applications: Advanced Innovations of Electrical Systems for Humanity, ISITIA 2022 - Proceeding

Conference

Conference23rd International Seminar on Intelligent Technology and Its Applications, ISITIA 2022
Country/TerritoryIndonesia
CityVirtual, Surabaya
Period22/7/2022/7/21

Keywords

  • Bilinear Matrix Inequality
  • Homotopy method
  • Linear interconnected system
  • observer-based decentralized H∞ controller

ASJC Scopus subject areas

  • Computer Science Applications
  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Signal Processing

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