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

List price: £155.00
Our price: £139.50
Discount:
10% off
You save: £15.50
ISBN 10: 0849390087
ISBN 13: 9780849390081
Availability: Usually dispatched within 1-3 weeks.
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Stock: Currently 0 available
Publisher: TAYLOR & FRANCIS INC
Pub. date: 1 June, 2007
Edition: 2nd Revised edition
Series: Automation and Control Engineering 29
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 Revisited Optimal 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 Engineers This 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: 125 black & white illustrations, 4 black & white tables
Publication: US
Imprint: CRC Press Inc
Returns: Returnable
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ANALYSIS AND DESIGN OF NETWORKED CONTROL SYSTEMS (HB)
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APPLIED OPTIMAL CONTROL (HB)
BLIND IDENTIFICATION OF STRUCTURED DYNAMIC SYSTEMS
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CONTROL AND ESTIMATION OF PIECEWISE AFFINE SYSTEMS
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CONTROL AND ESTIMATION OF PIECEWISE AFFINE SYSTEMS (PB)
CONTROL AND ESTIMATION OF SYSTEMS WITH INPUT/OUTPUT DELAYS (PB)
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COOPERATIVE SYNCHRONIZATION IN DISTRIBUTED MICROGRID CONTROL (PB)
DETERMINISTIC LEARNING THEORY FOR IDENTIFICATION, RECOGNITION, AND CONTROL (HB)
DISCRETE-TIME AND DISCRETE-SPACE DYNAMICAL SYSTEMS
DISCRETE-TIME AND DISCRETE-SPACE DYNAMICAL SYSTEMS (HB)
H_INFINITY CONTROL AND FILTERING OF TWO-DIMENSIONAL SYSTEMS (PB)
HIGH-LEVEL FEEDBACK CONTROL WITH NEURAL NETWORKS (HB)
INTEGRAL AND INVERSE REINFORCEMENT LEARNING FOR OPTIMAL CONTROL SYSTEMS AND GAMES (HB)
INTELLIGENT DIAGNOSIS AND PROGNOSIS OF INDUSTRIAL NETWORKED SYSTEMS
INTELLIGENT DIAGNOSIS AND PROGNOSIS OF INDUSTRIAL NETWORKED SYSTEMS (HB)
INTELLIGENT DIAGNOSIS AND PROGNOSIS OF INDUSTRIAL NETWORKED SYSTEMS (PB)
INTELLIGENT FAULT DIAGNOSIS AND PROGNOSIS FOR ENGINEERING SYSTEMS
INTELLIGENT FAULT DIAGNOSIS AND PROGNOSIS FOR ENGINEERING SYSTEMS (HB)
MANUFACTURING SYSTEMS CONTROL DESIGN (HB)
MANUFACTURING SYSTEMS CONTROL DESIGN (PB)
MODELING AND CONTROL OF VIBRATION IN MECHANICAL SYSTEMS
MODELING AND CONTROL OF VIBRATION IN MECHANICAL SYSTEMS (HB)
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OPTIMAL ADAPTIVE CONTROL AND DIFFERENTIAL GAMES BY REINFORCEMENT LEARNING PRINCIPLES
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OPTIMAL AND ROBUST ESTIMATION
OPTIMAL CONTROL
OPTIMAL CONTROL
OPTIMAL CONTROL
OPTIMAL CONTROL
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OPTIMAL CONTROL (PB)
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REINFORCEMENT LEARNING AND APPROXIMATE DYNAMIC PROGRAMMING FOR FEEDBACK CONTROL
REINFORCEMENT LEARNING AND APPROXIMATE DYNAMIC PROGRAMMING FOR FEEDBACK CONTROL
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