Computational methods for modelling of nonlinear systems
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-Lagrang...
Autor principal: | |
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Otros Autores: | |
Formato: | Libro electrónico |
Idioma: | Inglés |
Publicado: |
Amsterdam ; Boston :
Elsevier
2007.
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Edición: | 1st ed |
Colección: | EBSCO Academic eBook Collection Complete.
Mathematics in science and engineering ; v. 212. |
Acceso en línea: | Conectar con la versión electrónica |
Ver en Universidad de Navarra: | https://innopac.unav.es/record=b31689747*spi |
Sumario: | 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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Descripción Física: | xi, 397 p. : il |
Formato: | Forma de acceso: World Wide Web. |
Bibliografía: | Incluye referencias bibliográficas (p. 379-393) e índice. |
ISBN: | 9780444530448 9780080475387 |