Bounded Noises in Physics, Biology, and Engineering

Bounded Noises in Physics, Biology, and Engineering

by Alberto d'Onofrio (Editor)

Paperback(Softcover reprint of the original 1st ed. 2013)

View All Available Formats & Editions
Choose Expedited Shipping at checkout for guaranteed delivery by Thursday, January 24

Product Details

ISBN-13: 9781493952984
Publisher: Springer New York
Publication date: 08/23/2016
Series: Modeling and Simulation in Science, Engineering and Technology
Edition description: Softcover reprint of the original 1st ed. 2013
Pages: 285
Product dimensions: 6.10(w) x 9.25(h) x (d)

Table of Contents

Introduction.- Part I : Modeling of Bounded Noises and Their Applications in Physics.- On Bounded Stochastic Processes.- Dynamics of Systems With Randomly Disordered Periodic Excitations.- Noise-Induced Phenomena: Effects of Noises Based on Tsallis Statistics.- Dynamical Systems Driven by Dichotomous Noise.- Stochastic Oscillator : Brownian Motion With Adhesion.- Numerical Study of Energetic Stability For Harmonic Oscillator With Fluctuating Damping Parameter.- A Moment-Based Approach to Bounded Non-Gaussian Colored Noise.- Spatiotemporal Bounded Noises, and Their Application to the Ginzburg-Landau Equation.- Part II: Bounded Noises in the Framework of Discrete and Continuous Random Dynamical Systems.- Bifurcations of Random Differential Equations With Bounded Noise.- Effects of Bounded Random Perturbations on Discrete Dynamical Systems.- Part III: Bounded Stochastic Fluctuations in Biology.- Bounded Stochastic Perturbations May Induce Non-Genetic Resistance to Anti-Tumor Chemotherapy.- Interplay Between Cross Correlation and Delays in the Sine-Wienernoise-Induced Transitions.- Bounded Extrinsic Noises Affecting Biochemical Networks With Low Molecule Numbers.- Part IV: Bounded Noises: Applications in Engineering.- Almost Sure Stability of Fractional Viscoelastic Systems Driven By Bounded Noises.- Model Selection for Random Functions With Bounded Range. Applications in Science and Engineering.- From Model-Based to Data-Driven Filter Design.

Customer Reviews

Most Helpful Customer Reviews

See All Customer Reviews