Results 1 to 10 of about 16,029 (238)
Asynchronous stochastic approximation with differential inclusions [PDF]
Stochastic Systems, 2012 The asymptotic pseudo-trajectory approach to stochastic approximation of Benaïm, Hofbauer and Sorin is extended for asynchronous stochastic approximations with a set-valued mean field.
David S. Leslie, Steven Perkins
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Stochastic fractional-order memristive fuzzy bam neural networks with time delays and leakage term for finite-time stability analysis [PDF]
Scientific ReportsIn this study, a finite-time stability analysis with time delays and a leakage term is conducted on stochastic fractional-order memristive fuzzy BAM neural networks. FOMFBAMNNs are developed using set-valued map theories as well as differential inclusion.
J. Kumar +5 more
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Stochastic control of influenza spread: A Lévy-driven SDE and branching process approach [PDF]
Infectious Disease ModellingBackground: Forecasting influenza outbreaks remains a significant challenge due to the complexity of disease transmission and the influence of environmental and behavioral factors.
Kazi Mehedi Mohammad +2 more
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Null Controllability of Hilfer Fractional Stochastic Differential Inclusions
Fractal and Fractional, 2022 This paper gives the null controllability for nonlocal stochastic differential inclusion with the Hilfer fractional derivative and Clarke subdifferential.
Hamdy M. Ahmed +3 more
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Results in Control and Optimization, 2023 This manuscript is devoted to analyse the solvability and trajectory controllability of Hilfer fractional non-instantaneous impulsive stochastic differential inclusion with Clarke subdifferential and deviated argument.
N. Durga, Muslim Malik
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Fractal and Fractional, 2023 In this study, the multivalued fixed point theorem, Clarke subdifferential properties, fractional calculus, and stochastic analysis are used to arrive at the system’s mild solution (1). Furthermore, the mean square moment for the aforementioned system (1)
Dimplekumar Chalishajar +3 more
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Flow, Wind, and Stochastic Connectivity Modeling Infectious Diseases
Complexity, 2021 We study in this paper the trends of the evolution of different infections using a SIR flow (first-order ODE system), completed by a differential inclusion, a geodesic motion in a gyroscopic field of forces, and a stochastic SIR perturbation of the flow (
C. Udriste, I. Tevy, A. S. Rasheed
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Complexity, 2023 In this paper, the pth moment exponential synchronization problems of drive-response stochastic memristor neural networks are studied via a state feedback controller.
Xiaobo Wang +3 more
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Time lag analysis of novel arithmetic modeling in breast cancer [PDF]
Computational Ecology and Software, 2021 In this paper, a mathematical model which considers population dynamics among infected and uninfected cancer tumor cells has been proposed. Delay differential equations have been utilized to demonstrate the framework to consider the periods of the cell ...
Kalyan Das +3 more
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Stochastic differential equation model for cerebellar granule cell excitability. [PDF]
PLoS Computational Biology, 2008 Neurons in the brain express intrinsic dynamic behavior which is known to be stochastic in nature. A crucial question in building models of neuronal excitability is how to be able to mimic the dynamic behavior of the biological counterpart accurately and
Antti Saarinen +2 more
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