Some Successive Approximation Methods in Control and Oscillation Theory by Peter L Falb and Jan L de Jong

Some Successive Approximation Methods in Control and Oscillation Theory by Peter L Falb and Jan L de Jong
Author :
Publisher : Academic Press
Total Pages : 253
Release :
ISBN-10 : 9780080955681
ISBN-13 : 0080955681
Rating : 4/5 (681 Downloads)

Book Synopsis Some Successive Approximation Methods in Control and Oscillation Theory by Peter L Falb and Jan L de Jong by :

Download or read book Some Successive Approximation Methods in Control and Oscillation Theory by Peter L Falb and Jan L de Jong written by and published by Academic Press. This book was released on 1969 with total page 253 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; 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.- 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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