Mittag–Leffler Synchronization of Delayed Fractional Memristor Neural Networks via Adaptive Control
Yonggui Kao, Ying Li, Ju H. Park, Xiangyong Chen
Abstract
This brief is devoted to exploring the global Mittag-Leffler (ML) synchronization problem of fractional-order memristor neural networks (FOMNNs) with leakage delay via a hybrid adaptive controller. By applying Fillipov's theory and the Lyapunov functional method, the novel algebraic sufficient condition for the global ML synchronization of FOMNNs is derived. Finally, a simulation example is presented to show the practicability of our findings.
Topics & Concepts
MemristorSynchronization (alternating current)Control theory (sociology)Controller (irrigation)Artificial neural networkComputer scienceAdaptive controlFractional calculusMathematicsControl (management)Topology (electrical circuits)Applied mathematicsArtificial intelligenceElectronic engineeringEngineeringAgronomyBiologyCombinatoricsNeural Networks Stability and SynchronizationAdvanced Memory and Neural Computingstochastic dynamics and bifurcation