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<ArticleSet>
<Article>
<Journal>
<PublisherName>OICC Press</PublisherName>
<JournalTitle>Signal Processing and Renewable Energy (SPRE)</JournalTitle>
<Issn>2588-7335</Issn>
<Volume>9</Volume>
<Issue>1 (March 2025)</Issue>
<PubDate PubStatus="epublish">
<Year>2025</Year>
<Month>03</Month>
<Day>01</Day>
</PubDate>
</Journal>
<ArticleTitle>Actuator Fault Event-Triggered Compensation for Multiagent Fractional-Order Nonlinear Systems</ArticleTitle>
<VernacularTitle></VernacularTitle>
<FirstPage></FirstPage>
<LastPage></LastPage>
<ELocationID EIdType="doi">10.57647/j.spre.2025.0901.03</ELocationID>
<Language>EN</Language>
<AuthorList>
<Author>
<FirstName>Fatemeh</FirstName>
<LastName>Gholami</LastName>
<Affiliation>Department of Electrical Engineering  AND  Digital Processing and Machine Vision Research Center, Najafabad Branch, Islamic Azad University, Najafabad, Iran</Affiliation>
<Identifier Source="ORCID">https://orcid.org/0009-0002-1710-8571</Identifier>
</Author>
<Author>
<FirstName>Mahnaz</FirstName>
<LastName>Hashemi</LastName>
<Affiliation>Department of Electrical Engineering  AND  Digital Processing and Machine Vision Research Center, Najafabad Branch, Islamic Azad University, Najafabad, Iran</Affiliation>
<Identifier Source="ORCID">https://orcid.org/0000-0002-7454-6423</Identifier>
</Author>
<Author>
<FirstName>Ghazanfar</FirstName>
<LastName>Shahgholian</LastName>
<Affiliation>Department of Electrical Engineering  AND  Smart Microgrid Research Center, Najafabad Branch, Islamic Azad University, Najafabad, Iran</Affiliation>
<Identifier Source="ORCID">https://orcid.org/0000-0003-2774-4694</Identifier>
</Author>
</AuthorList>
<PublicationType>Journal Article</PublicationType>
<History>
<PubDate PubStatus="received">
<Year>2025</Year>
<Month>03</Month>
<Day>01</Day>
</PubDate>
</History>
<Abstract>This paper proposes a novel distributed adaptive dynamic event-triggered control (DADETC) scheme for uncertainties multi-agent fractional-order nonlinear systems affected by actuator faults. The proposed controller can compensate for a wide range of actuator failures without the necessity for explicit fault detection. To address the problem of the unnecessary waste of communication resources, a distributed dynamic event-triggered control (DETC) is designed. In the design process, it is assumed that only the information of the first state of the followers is available. A state observer is used to measure non-measurable states. Neural networks are used to approximate uncertainties. Then, an adaptive fault strategy is applied for compensate the loss of effectiveness and stuck actuator faults. A detailed analytical proof is presented in the following to show that the proposed strategy successfully avoids the Zeno phenomenon. Finally, the Lyapunov fractional-order stability method is employed to guarantee the boundedness of all closed-loop signals and the convergence of the tracking error to a small neighborhood of the origin.</Abstract>
<ObjectList>
<Object Type="keyword">
<Param Name="value">Actuator fault</Param>
</Object>
<Object Type="keyword">
<Param Name="value">Adaptive control</Param>
</Object>
<Object Type="keyword">
<Param Name="value">Dynamic event-triggered control</Param>
</Object>
<Object Type="keyword">
<Param Name="value">Fractional-order systems</Param>
</Object>
<Object Type="keyword">
<Param Name="value">Multi-agent systems</Param>
</Object>
<Object Type="keyword">
<Param Name="value">Neural networks</Param>
</Object>
<Object Type="keyword">
<Param Name="value">Strict-feedback systems</Param>
</Object>
</ObjectList>
</Article>
</ArticleSet>