Integral Dynamical Models: Singularities, Signals And Control

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    Getyoureb

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    20/5/2024
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    Integral Dynamical Models: Singularities, Signals And Control
    Singularities, Signals and Control
    By: Denis Sidorov
    Publisher:
    WSPC
    Print ISBN: 9789814619189, 9814619183
    eText ISBN: 9789814619202, 9814619205
    Pages: 260
    Format: EPUB
    Available from $ 38.00 USD
    SKU 9789814619202
    This volume provides a broad introduction to nonlinear integral dynamical models and new classes of evolutionary integral equations. It may be used as an advanced textbook by postgraduate students to study integral dynamical models and their applications in machine learning, electrical and electronic engineering, operations research and image analysis.Contents:
    Introduction and Overview
    Volterra Models of Evolving Dynamical Systems:
    Volterra Equations of the First Kind with Piecewise Continuous Kernels
    Volterra Matrix Equation of the First Kind with Piecewise Continuous Kernels
    Volterra Operator Equations of the First Kind with Piecewise Continuous Kernels
    Generalized Solutions to the Volterra Equations with Piecewise Continuous Kernels and Sources
    Nonlinear Models, Singularities and Control:
    Nonlinear Hammerstein Integral Equations
    Nonlinear Volterra Operator Equations with Non-invertible Operator
    Nonlinear Differential Equations Near Branching Points
    Convex Majorants Method in the Theory of Nonlinear Volterra Equations
    Generalized Solutions to Nonlinear Volterra Equations of the First Kind
    On Impulse Control of Nonlinear Dynamical Systems Based on the Volterra Series
    Integral Models Applications:
    The Volterra Models Applications
    Suppression of Moiré Patterns for Video Archive Restoration
    Integral Models Applications in Electric Power Engineering
    Graduate students and researchers in complex systems, mathematical modeling and machine learning.Key Features:
    New unified view on integral models, bifurcation theory and behavioral modeling
    Novel class of weakly regular Volterra equations is proposed, new approach to forecasting of power systems parameters
     

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