Quantized estimator over communication networks for distributed generation units

Magdi Sadek Mahmoud; Nezar M. Alyazidi

doi:10.1109/TSMC.2017.2734167

Quantized estimator over communication networks for distributed generation units

Magdi Sadek Mahmoud^*, Nezar M. Alyazidi

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

7 Scopus citations

Abstract

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 language	English
Article number	8013076
Pages (from-to)	1134-1146
Number of pages	13
Journal	IEEE Transactions on Systems, Man, and Cybernetics: Systems
Volume	50
Issue number	3
DOIs	https://doi.org/10.1109/TSMC.2017.2734167
State	Published - Mar 2020

Bibliographical note

Publisher Copyright:
© 2013 IEEE.

Keywords

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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title = "Quantized estimator over communication networks for distributed generation units",

abstract = "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.",

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AU - Alyazidi, Nezar M.

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AB - 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.

KW - Communication networks

KW - distributed generations (DGs)

KW - hold-input (HI) strategy

KW - linear matrix inequality (LMI)

KW - quantized H∞ estimator

KW - time delay

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ER -

Quantized estimator over communication networks for distributed generation units

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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