Quantized estimator over communication networks for distributed generation units

Magdi Sadek Mahmoud*, Nezar M. Alyazidi

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Scopus citations


Distributed generation (DG) technology arises in several applications of power supply to tackle the issues of increasing energy demands. The concept of microgrids is introduced to integrate the DG technology into utility power networks. This paper introduces a fuzzy control scheme for networked systems utilizing a quantized {H}_{\infty } estimator over communication networks for DGs subject random constraints. The developed estimation algorithm is worthy for ensuring the network stability and enduring any sort of quantization, time delay, and packet drops. In these senses, adequate conditions have been mainly derived by means of linear matrix inequalities. An illustrative examples are demonstrated to confirm the effectiveness of the meant design procedure.

Original languageEnglish
Article number8013076
Pages (from-to)1134-1146
Number of pages13
JournalIEEE Transactions on Systems, Man, and Cybernetics: Systems
Issue number3
StatePublished - Mar 2020

Bibliographical note

Funding Information:
Manuscript received October 18, 2016; revised May 21, 2017; accepted July 24, 2017. Date of publication August 18, 2017; date of current version February 19, 2020. This work was supported by the Deanship for Scientific Research at the King Fahd University of Petroleum and Minerals through the Distinguished Professorship Research Project under Grant IN141003. This paper was recommended by Associate Editor X. Zhao. (Corresponding author: Magdi Sadek Mahmoud.) The authors are with the Systems Engineering Department, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia (e-mail: msmahmoud@kfupm.edu.sa).

Publisher Copyright:
© 2013 IEEE.


  • Communication networks
  • distributed generations (DGs)
  • hold-input (HI) strategy
  • linear matrix inequality (LMI)
  • quantized H∞ estimator
  • time delay

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Human-Computer Interaction
  • Computer Science Applications
  • Electrical and Electronic Engineering


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