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
Stability by Liapunov’s Direct Method with Applications by Joseph L Salle and Solomon Lefschetz [PDF ebook]
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لغة الإنجليزية ● شكل PDF ● ISBN 9780080955124 ● الناشر Elsevier Science ● نشرت 2012 ● للتحميل 6 مرات ● دقة EUR ● هوية شخصية 2266834 ● حماية النسخ Adobe DRM
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