Evidence map›Paper›PMID 42323362›Full record

ArticleScientific reports2026

Resilient fractional order sliding mode control for islanded microgrids under cyber-physical attacks.

Mohamad Issa Ibraheem, Mehdi Edrisi, Hassan Haes Alhelou, Mehdi Gholipour, Amer Al-Hinai

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

5 authors.

Mohamad Issa IbraheemSustainable Energy Research Center, Sultan Qaboos University (SQU), Muscat, Oman.
Mehdi EdrisiDepartment of Electrical Engineering, University of Isfahan, Isfahan, Iran.
Hassan Haes AlhelouSchool of Engineering, Massachusetts Institute of Technology (MIT), Cambridge, MA, 02139, USA.
Mehdi GholipourDepartment of Electrical Engineering, University of Isfahan, Isfahan, Iran.
Amer Al-HinaiSustainable Energy Research Center, Sultan Qaboos University (SQU), Muscat, Oman. hinai@squ.edu.om.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The integration of Information and Communication Technologies (ICT) in power system applications, such as Load Frequency Control (LFC), increases the vulnerability to cyber-attacks. Among these, False Data Injection Attacks (FDIA) targeting sensor-controller or controller-actuator signals can destabilize systems with varying loads and renewable energy sources. This paper proposes a Fractional Order Sliding Mode Controller (FOSMC) to ensure frequency stability and resilience in an islanded system under controller-actuator FDIA and external disturbances. An observer is incorporated to estimate system states and detect FDIA signals, with its parameters obtained via Linear Matrix Inequality (LMI) techniques. A fractional order sliding surface is designed to enhance robustness, and system stability is analyzed using the Lyapunov method. The proposed controller is validated through a Model-in-the-Loop (MiL) OPAL-RT setup. Experimental results confirm that the resilient controller maintains stability under different FDIA scenarios and outperforms existing methods in dynamic response.

Indexed as

Controller-actuator attackFalse data injectionFractional order-sliding mode controllerLoad frequency controlSliding mode observer

Identifiers

PMID42323362
PMCPMC13562693

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.