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

    By: Unknown

    Date Released

    Out of Print

    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; and
    methods 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 particular
    branches, such as optimal filtering and information compression.

    - Best operator approximation,
    - Non-Lagrange interpolation,
    - Generic Karhunen-Loeve transform
    - Generalised low-rank matrix approximation
    - Optimal data compression
    - Optimal nonlinear filtering

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