Results 51 to 60 of about 1,233,620 (143)
Mathematics, 2020 In this paper, we study the mean-square exponential input-to-state stability (exp-ISS) problem for a new class of neural network (NN) models, i.e., continuous-time stochastic memristive quaternion-valued neural networks (SMQVNNs) with time delays ...
Usa Humphries +6 more
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Advances in Difference Equations, 2021 This manuscript is involved in the study of stability of the solutions of functional differential equations (FDEs) with random coefficients and/or stochastic terms.
Abdulwahab Almutairi +3 more
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On Symmetrized Stochastic Harmonically Convexity and Hermite–Hadamard Type Inequalities
Axioms, 2022 Throughout this study, the concept of symmetrized harmonically convex stochastic processes will be discussed in further detail. Some certain characterizations for symmetrized harmonically convex stochastic processes are discussed that use Hermite ...
Muhammad Amer Latif
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Journal of Applied Mathematics, 2013 We discuss the exponential stability in mean square of mild solution for neutral stochastic partial functional differential equations with impulses. By applying impulsive Gronwall-Bellman inequality, the stochastic analytic techniques, the fractional ...
Nan Ding
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Stability analysis of stochastic and random systems in the Lyapunov sense
Results in Control and Optimization, 2021 Lyapunov approach plays a vital role in addressing the issue of stability in deterministic and random (stochastic) systems. This paper is involved in the study of stability of linear and nonlinear systems perturbed by a standard Brownian motion, random ...
I.M. Elbaz
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Multitask Diffusion Adaptation over Networks [PDF]
, 2013 Adaptive networks are suitable for decentralized inference tasks, e.g., to monitor complex natural phenomena. Recent research works have intensively studied distributed optimization problems in the case where the nodes have to estimate a single optimum ...
Chen, Jie +2 more
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Advances in Difference Equations, 2021 In this paper, we first consider the stability problem for a class of stochastic quaternion-valued neural networks with time-varying delays. Next, we cannot explicitly decompose the quaternion-valued systems into equivalent real-valued systems; by using ...
Lihua Dai, Yuanyuan Hou
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Structure of exotic three-body systems
, 2005 The classification of large halos formed by two identical particles and a core is systematically addressed according to interparticle distances. The root-mean-square distances between the constituents are described by universal scaling functions obtained
A. Delfino +14 more
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Stability Analysis of Cohen–Grossberg Neural Networks with Random Impulses
Mathematics, 2018 The Cohen and Grossberg neural networks model is studied in the case when the neurons are subject to a certain impulsive state displacement at random exponentially-distributed moments.
Ravi Agarwal +3 more
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Stability of matrix factorization for collaborative filtering [PDF]
, 2012 We study the stability vis a vis adversarial noise of matrix factorization algorithm for matrix completion. In particular, our results include: (I) we bound the gap between the solution matrix of the factorization method and the ground truth in terms of ...
Wang, Yu-Xiang, Xu, Huan
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