Results 11 to 20 of about 10,336 (231)

Finite-Time Projective Synchronization of Caputo Type Fractional Complex-Valued Delayed Neural Networks

open access: yesMathematics, 2021
This paper focuses on investigating the finite-time projective synchronization of Caputo type fractional-order complex-valued neural networks with time delay (FOCVNNTD). Based on the properties of fractional calculus and various inequality techniques, by
Shuang Wang   +3 more
doaj   +1 more source

Nonexistence of Finite-Time Stable Equilibria in a Class of Nonlinear Integral Equations

open access: yesFractal and Fractional, 2023
This brief report studies conditions to ensure the nonexistence of finite-time stable equilibria in a class of systems that are described by means of nonlinear integral equations, whose kernels are part of some Sonine kernel pairs.
Aldo Jonathan Muñoz-Vázquez   +2 more
doaj   +1 more source

Impulsive Synchronization Control Mechanism for Fractional-Order Complex-Valued Reaction-Diffusion Systems With Sampled-Data Control: Its Application to Image Encryption

open access: yesIEEE Access, 2022
This article is devoted to gain a better understanding of the synchronization control mechanism in networked, complex-valued reaction-diffusion systems via an impulsive and sampled-data controller.
G. Narayanan   +5 more
doaj   +1 more source

Finite-Time Projective Synchronization of Stochastic Complex-Valued Neural Networks With Probabilistic Time-Varying Delays

open access: yesIEEE Access, 2021
This paper addresses finite-time projective synchronization of stochastic complex-valued neural networks (SCVNNs) with probabilistic time-varying delays (PTVs). First, in the complex domain, PTVs are introduced into the studied model and a novel feedback
Meng Hui   +5 more
doaj   +1 more source

A fast sparse Bayesian learning method with adaptive Laplace prior for space‐time adaptive processing

open access: yesIET Radar, Sonar & Navigation, 2022
Space‐time adaptive processing with finite samples is supposed to be a crucial technique for airborne radar systems. Inspired by the application of Gaussian prior in sparse Bayesian learning algorithm and the adaptive least absolute shrinkage and ...
Degen Wang, Tong Wang, Weichen Cui
doaj   +1 more source

Finite-time adaptive synchronization of fractional-order delayed quaternion-valued fuzzy neural networks

open access: yesNonlinear Analysis, 2023
Based on direct quaternion method, this paper explores the finite-time adaptive synchronization (FAS) of fractional-order delayed quaternion-valued fuzzy neural networks (FODQVFNNs). Firstly, a useful fractional differential inequality is created, which
Shenglong Chen   +5 more
doaj   +1 more source

The GW/BSE Method in Magnetic Fields

open access: yesFrontiers in Chemistry, 2021
The GW approximation and the Bethe–Salpeter equation have been implemented into the Turbomole program package for computations of molecular systems in a strong, finite magnetic field.
Christof Holzer   +3 more
doaj   +1 more source

An Improved Recurrent Neural Network for Complex-Valued Systems of Linear Equation and Its Application to Robotic Motion Tracking

open access: yesFrontiers in Neurorobotics, 2017
To obtain the online solution of complex-valued systems of linear equation in complex domain with higher precision and higher convergence rate, a new neural network based on Zhang neural network (ZNN) is investigated in this paper. First, this new neural
Lei Ding   +4 more
doaj   +1 more source

Characterizations of Pareto-Nash Equilibria for Multiobjective Potential Population Games

open access: yesMathematics, 2021
This paper studies the characterizations of (weakly) Pareto-Nash equilibria for multiobjective population games with a vector-valued potential function called multiobjective potential population games, where agents synchronously maximize multiobjective ...
Guanghui Yang   +5 more
doaj   +1 more source

Exponentiation Representation of Boolean Matrices in the Framework of Semi-Tensor Product of Matrices

open access: yesIEEE Access, 2019
Semi-tensor product of matrices (STP of matrices) is a new matrix product and has been successfully applied to many fields, especially to logical dynamic systems.
Jumei Yue, Yongyi Yan
doaj   +1 more source

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