Stability By Liapunovs Direct Method With Applications By Joseph L Salle And Solomon Lefschetz

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Stability by Liapunov's Direct Method with Applications by Joseph L Salle and Solomon Lefschetz

Stability by Liapunov's Direct Method with Applications by Joseph L Salle and Solomon Lefschetz
Author :
Publisher : Elsevier
Total Pages : 142
Release :
ISBN-10 : 9780080955124
ISBN-13 : 0080955126
Rating : 4/5 (126 Downloads)

Book Synopsis Stability by Liapunov's Direct Method with Applications by Joseph L Salle and Solomon Lefschetz by :

Download or read book Stability by Liapunov's Direct Method with Applications by Joseph L Salle and Solomon Lefschetz written by and published by Elsevier. This book was released on 2012-01-25 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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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