Impact of zero‑output crisp range recentering on the performance of FPIDD

Mohamed H T Omar, Ragi A Hamdy, Hossam Kotb

Abstract read

In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Mohamed H T OmarDepartment of Electrical Engineering, Alexandria University, Alexandria, 21544, Egypt.

Ragi A HamdyDepartment of Electrical Engineering, Alexandria University, Alexandria, 21544, Egypt.

Hossam KotbDepartment of Electrical Engineering, Alexandria University, Alexandria, 21544, Egypt. Hossam.kotb@alexu.edu.eg.ORCID https://orcid.org/0000-0002-4052-6731

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Modern interconnected power systems with high penetration of renewable energy sources (RES) and large‑scale use of electric vehicles (EVs) experience recurring frequency and voltage disturbances. Accordingly, the main objective in this work is to overcome this limitation in a power system under coordinated load frequency control (LFC) and automatic voltage regulation (AVR), which requires highly accurate control strategies. Fuzzy logic‑based controllers are among the most promising approaches for disturbance rejection, control precision, system stability, and robust performance. However, their performance is often limited because the selection of crisp ranges (i.e., the universes of discourse of the fuzzy variables) is usually set heuristically. In this paper, the crisp output range of a Fuzzy Proportional Integral Derivative Double Derivative (FPIDD

Indexed as

Crisp-range configuration of fuzzy controllerFPIDD2 controllerFuzzy-based control strategyLFC–AVR coordinationMetaheuristic optimization techniquesMulti-area interconnected power network

Identifiers

PMID42469291

DOI10.1038/s41598-026-61334-8

PMCPMC13379387

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.