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Item Details
Title: OPTIMAL AND ROBUST ESTIMATION
WITH AN INTRODUCTION TO STOCHASTIC CONTROL THEORY, SECOND EDITION
By: Frank L. Lewis, Lihua Xie, Dan Popa
Format: Electronic book text

List price: £95.99


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ISBN 10: 1420008293
ISBN 13: 9781420008296
Publisher: TAYLOR & FRANCIS INC
Pub. date: 17 September, 2007
Edition: 2nd New edition
Series: Automation and Control Engineering
Pages: 552
Description: Reflects the developments in estimation theory and design techniques. This book covers the robust Kalman filter, H-infinity filtering, and H-infinity filtering of discrete-time systems. It includes examples that highlight practical applications of the theory and concepts.
Synopsis: More than a decade ago, world-renowned control systems authority Frank L. Lewis introduced what would become a standard textbook on estimation, under the title Optimal Estimation, used in top universities throughout the world. The time has come for a new edition of this classic text, and Lewis enlisted the aid of two accomplished experts to bring the book completely up to date with the estimation methods driving today's high-performance systems.A Classic RevisitedOptimal and Robust Estimation: With an Introduction to Stochastic Control Theory, Second Edition reflects new developments in estimation theory and design techniques. As the title suggests, the major feature of this edition is the inclusion of robust methods. Three new chapters cover the robust Kalman filter, H-infinity filtering, and H-infinity filtering of discrete-time systems.Modern Tools for Tomorrow's EngineersThis text overflows with examples that highlight practical applications of the theory and concepts. Design algorithms appear conveniently in tables, allowing students quick reference, easy implementation into software, and intuitive comparisons for selecting the best algorithm for a given application. In addition, downloadable MATLAB (R) code allows students to gain hands-on experience with industry-standard software tools for a wide variety of applications.This cutting-edge and highly interactive text makes teaching, and learning, estimation methods easier and more modern than ever.
Illustrations: 1986 equations; 4 Tables, black and white; 125 Illustrations, black and white
Publication: US
Imprint: CRC Press Inc
Returns: Non-returnable
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INTELLIGENT DIAGNOSIS AND PROGNOSIS OF INDUSTRIAL NETWORKED SYSTEMS
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