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Elsevier

Elsevier Science

  • Growth and Maturation of the Brain

    • 1st Edition
    • Volume 4
    • English

  • Physiology of Spinal Neurons

    • 1st Edition
    • Volume 12
    • English

  • Lectures on the Diencephalon

    • 1st Edition
    • Volume 5
    • English

  • Turbidites

    • 1st Edition
    • Volume 3
    • English

  • The Dynamic Method in Oceanography

    • 1st Edition
    • Volume 2
    • English

  • Dynamic Programming in Chemical Engineering and Process Control by Sanford M Roberts

    • 1st Edition
    • Volume 12
    • Sanford M. Roberts
    • English
    In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number of computing techniques are considered, such as methods of operator approximation with any given accuracy; operator interpolation techniques including a non-Lagrange interpolation; methods of system representation subject to constraints associated with concepts of causality, memory and stationarity; methods of system representation with an accuracy that is the best within a given class of models; methods of covariance matrix estimation;methods for low-rank matrix approximations; hybrid methods based on a combination of iterative procedures and best operator approximation; andmethods for information compression and filtering under condition that a filter model should satisfy restrictions associated with causality and different types of memory.As a result, the book represents a blend of new methods in general computational analysis,and specific, but also generic, techniques for study of systems theory ant its particularbranches, such as optimal filtering and information compression.

  • Nerve, Brain and Memory Models

    • 1st Edition
    • Volume 2
    • English

  • The Rhinencephalon and Related Structures

    • 1st Edition
    • Volume 3
    • English

  • Brain Mechanisms

    • 1st Edition
    • Volume 1
    • English

  • Optimum Design of Digital Control Systemsby Julius T Tou

    • 1st Edition
    • Volume 10
    • English
    In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number of computing techniques are considered, such as methods of operator approximation with any given accuracy; operator interpolation techniques including a non-Lagrange interpolation; methods of system representation subject to constraints associated with concepts of causality, memory and stationarity; methods of system representation with an accuracy that is the best within a given class of models; methods of covariance matrix estimation;methods for low-rank matrix approximations; hybrid methods based on a combination of iterative procedures and best operator approximation; andmethods for information compression and filtering under condition that a filter model should satisfy restrictions associated with causality and different types of memory.As a result, the book represents a blend of new methods in general computational analysis,and specific, but also generic, techniques for study of systems theory ant its particularbranches, such as optimal filtering and information compression.

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