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A family of varying-parameter finite-time zeroing neural networks for solving time-varying Sylvester equation and its application

Dimitrios Gerontitis, Ratikanta Behera, P. Tzekis, Predrag S. Stanimirović

2021Journal of Computational and Applied Mathematics42 citationsDOI

Topics & Concepts

Artificial neural networkMathematicsConvergence (economics)Stability (learning theory)ComputationApplied mathematicsNoise (video)Sylvester equationControl theory (sociology)AlgorithmComputer scienceArtificial intelligenceMachine learningEigenvalues and eigenvectorsPhysicsEconomicsControl (management)Quantum mechanicsImage (mathematics)Economic growthNeural Networks and ApplicationsControl Systems and IdentificationModel Reduction and Neural Networks
A family of varying-parameter finite-time zeroing neural networks for solving time-varying Sylvester equation and its application | Litcius