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Delay-Dependent Stability Region for the Distributed Coordination of Delayed Fractional-Order Multi-Agent Systems

Abbasali Koochakzadeh, Mojtaba Naderi Soorki, Aydin Azizi, Kamran Mohammadsharifi, Mohammadreza Riazat

2023Mathematics11 citationsDOIOpen Access PDF

Abstract

Delay and especially delay in the transmission of agents’ information, is one of the most important causes of disruption to achieving consensus in a multi-agent system. This paper deals with achieving consensus in delayed fractional-order multi-agent systems (FOMAS). The aim in the present note is to find the exact maximum allowable delay in a FOMAS with non-uniform delay, i.e., the case in which the interactions between agents are subject to non-identical communication time-delays. By proving a stability theorem, the results available for non-delayed networked fractional-order systems are extended for the case in which interaction links have nonequal communication time-delays. In this extension by considering a time-delay coordination algorithm, necessary and sufficient conditions on the time delays and interaction graph are presented to guarantee the coordination. In addition, the delay-dependent stability region is also obtained. Finally, the dependency of the maximum allowable delay on two parameters, the agent fractional-order and the largest eigenvalue of the graph Laplacian matrix, is exactly determined. Numerical simulation results are given to confirm the proposed methodologies.

Topics & Concepts

Laplacian matrixStability (learning theory)Eigenvalues and eigenvectorsGraphMulti-agent systemControl theory (sociology)Order (exchange)Computer scienceTransmission delayMathematicsExtension (predicate logic)Topology (electrical circuits)Transmission (telecommunications)Discrete mathematicsTelecommunicationsCombinatoricsPhysicsFinanceMachine learningEconomicsArtificial intelligenceQuantum mechanicsControl (management)Programming languageDistributed Control Multi-Agent SystemsNeural Networks Stability and SynchronizationMathematical and Theoretical Epidemiology and Ecology Models
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