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Magnitude-constrained optimal chaotic desynchronization of neural populations. [PDF]
Zimet M, Rajabi F, Moehlis J.
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A Hyperspectral Remote Sensing Image Encryption Algorithm Based on a Novel Two-Dimensional Hyperchaotic Map. [PDF]
Bai Z +5 more
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Bio-RegNet: A Meta-Homeostatic Bayesian Neural Network Framework Integrating Treg-Inspired Immunoregulation and Autophagic Optimization for Adaptive Community Detection and Stable Intelligence. [PDF]
Ma Y, Qu D, Pyrozhenko M.
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ADP-Based Fault-Tolerant Control with Stability Guarantee for Nonlinear Systems. [PDF]
Liu L, Lv J, Lin H, Zhan R, Wu L.
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Homogeneous Differentiator Design using Implicit Lyapunov Function Method
Andrey Polyakov +2 more
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Nonlinear Differential Equations and Applications NoDEA, 1995
Let \((\Omega, {\mathcal F}, P)\) be a complete probability space, and let \(\{{\mathcal F}_t \subset {\mathcal F}\}\) be an increasing family of \(\sigma\)-sub-algebras adopted to a standard \(m\)-dimensional Wiener process \(W\). The authors consider solutions to the stochastic differential equation (*) \(dx = f(x(t)) dt + \sigma (x(t)) dW(t)\), \(x \
Aubin, Jean-Pierre, Da Prato, Giuseppe
openaire +1 more source
Let \((\Omega, {\mathcal F}, P)\) be a complete probability space, and let \(\{{\mathcal F}_t \subset {\mathcal F}\}\) be an increasing family of \(\sigma\)-sub-algebras adopted to a standard \(m\)-dimensional Wiener process \(W\). The authors consider solutions to the stochastic differential equation (*) \(dx = f(x(t)) dt + \sigma (x(t)) dW(t)\), \(x \
Aubin, Jean-Pierre, Da Prato, Giuseppe
openaire +1 more source

