Topology identification of fractional-order complex dynamical networks based on auxiliary-system approach
Yi Zheng, Xiaoqun Wu, Guoliang He, Wei Wang
Abstract
Many practical systems can be well described by various fractional-order equations. This paper focuses on identifying the topology of the response layer of a drive-response fractional-order complex dynamical network using the auxiliary-system approach. Specifically, the response layer and the auxiliary layer receive the same input signals from the drive layer. By a designed adaptive control law, the unknown topology of the response layer is successfully identified. Moreover, the proposed method is effective even if the drive layer is made up of isolated nodes. The correctness of the theoretical results is demonstrated by numerical simulations.
Topics & Concepts
CorrectnessTopology (electrical circuits)Layer (electronics)Network topologyControl theory (sociology)Computer scienceIdentification (biology)Dynamical systems theoryOrder (exchange)Control (management)MathematicsAlgorithmPhysicsArtificial intelligenceOperating systemEconomicsChemistryCombinatoricsFinanceBiologyQuantum mechanicsBotanyOrganic chemistryChaos control and synchronizationNeural Networks Stability and SynchronizationNonlinear Dynamics and Pattern Formation