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Dynamical Systems, Control, Coding, Computer Vision
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Dynamical Systems, Control, Coding, Computer Vision : New Trends, Interfaces, and Interplay

Softcover reprint of the original 1st ed. 1999

Book Details

Format Paperback / Softback
ISBN-10 3034898487
ISBN-13 9783034898485
Edition Softcover reprint of the original 1st ed. 1999
Publisher Springer Basel
Imprint Springer Basel
Country of Manufacture CH
Country of Publication GB
Publication Date Dec 28th, 2011
Print length 497 Pages
Ksh 8,100.00
Werezi Extended Catalogue 0 in stock

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This book is a collection of essays devoted in part to new research direc­ tions in systems, networks, and control theory, and in part to the growing interaction of these disciplines with new sectors of engineering and applied sciences like coding, computer vision, and hybrid systems.
This book is a collection of essays devoted in part to new research direc­ tions in systems, networks, and control theory, and in part to the growing interaction of these disciplines with new sectors of engineering and applied sciences like coding, computer vision, and hybrid systems. These are new areas of rapid growth and of increasing importance in modern technology. The essays, written by world-leading experts in the field, reproduce and expand the plenary and minicoursejminisymposia invited lectures which were delivered at the Mathematical Theory of Networks and Systems Sym­ posium (MTNS-98), held in Padova, Italy, on July 6-10, 1998. Systems, control, and networks theory has permeated the development of much of present day technology. The impact has been visible in the past fifty years through the dramatic expansion and achievements of the aerospace and avionics industry, through process control and factory au­ tomation, robotics, communication signals analysis and synthesis, and, more recently, even finance, to name just the most visible applications. The theory has developed from the early phase of its history when the ba­ sic tools were elementary complex analysis, Laplace transform, and linear differential equations, to present day, where the mathematics ranges widely from functional analysis, PDE''s, abstract algebra, stochastic processes and differential geometry. Irrespective of the particular tools, however, the ba­ sic unifying paradigms of feedback, stability, optimal control, and recursive filtering, have remained the bulk of the field and continue to be the basic motivation for the theory, coming from the real world.

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