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New results on exponential input-to-state stability analysis of memristor based complex-valued inertial neural networks with proportional and distributed delays

M. Iswarya, R. Raja, Jinde Cao, Michał Niezabitowski, Jehad Alzabut, C. Maharajan

2021Mathematics and Computers in Simulation30 citationsDOI

Topics & Concepts

MemristorExponential stabilityArtificial neural networkMathematicsControl theory (sociology)Set (abstract data type)State spaceApplied mathematicsInertial frame of referenceStability (learning theory)State (computer science)Linear matrix inequalityComputer scienceMathematical optimizationAlgorithmControl (management)Artificial intelligenceNonlinear systemProgramming languageElectrical engineeringStatisticsEngineeringMachine learningPhysicsQuantum mechanicsNeural Networks Stability and Synchronizationstochastic dynamics and bifurcationNonlinear Dynamics and Pattern Formation
New results on exponential input-to-state stability analysis of memristor based complex-valued inertial neural networks with proportional and distributed delays | Litcius