Results 1 to 10 of about 9,922,765 (307)
On the Convergence Rate of the Caputo Fractional Difference Logistic Map of Nilpotent Matrices
The convergence rate of the Caputo fractional difference logistic map of nilpotent matrices is investigated in this paper. The divergence rate of the auxiliary parameters governing the dynamics of nilpotents is exponential and is multiple to the Lyapunov
Rasa Smidtaite +3 more
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Quantization of Nonlinear Systems
A direct method of quantization, applicable to a given nonlinear hyperbolic partial differential equation, is indicated. From such classical equations alone, without a given Lagrangian or Hamiltonian, or a priori linear reference system such as a bare or incoming field, a quantized field is constructed, satisfying the conventional commutation relations.
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Structure of hexapod 3D packings: understanding the global stability from the local organization
Aggregates of non-convex particles have shown to be particularly stable which makes them good candidates to design new lightweight and reversible structures. However, few is known about the fundamental reason of their stability. In this paper we presents
Barés Jonathan +4 more
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In this work, we use an Echo State Network (ESN) model, which is essentially a recurrent neural network (RNN) operating according to the reservoir computing (RC) paradigm, to classify individual ECG heartbeats using the MIT-BIH arrhythmia database.
Ioannis P. Antoniades +5 more
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Nonlinear systems in medicine.
Many achievements in medicine have come from applying linear theory to problems. Most current methods of data analysis use linear models, which are based on proportionality between two variables and/or relationships described by linear differential equations.
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ON THE CONTROLLABILITY OF A NONLINEAR SYSTEM [PDF]
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Observer-based optimal and robust output regulation for nonlinear systems. [PDF]
Qazi AKA, Memon AY.
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Existence of variational solutions to doubly nonlinear systems in nondecreasing domains. [PDF]
Schätzler L +3 more
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Stable approach based diagonal recurrent quantum neural networks for identification of nonlinear systems. [PDF]
Khalil H, Elshazly O, Shaheen O.
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On the Quantization of AB Phase in Nonlinear Systems. [PDF]
Liu X, Wang QH, Gong J.
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