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Optimal and Robust Estimation

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Release : 2017-12-19
Genre : Technology & Engineering
Kind : eBook
Book Rating : 293/5 ( reviews)

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Book Synopsis Optimal and Robust Estimation by : Frank L. Lewis

Download or read book Optimal and Robust Estimation written by Frank L. Lewis. This book was released on 2017-12-19. Available in PDF, EPUB and Kindle. Book excerpt: 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® 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.

Optimal and Robust Estimation with an Introduction to Stochastic

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Release : 2007-08
Genre :
Kind : eBook
Book Rating : 426/5 ( reviews)

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Book Synopsis Optimal and Robust Estimation with an Introduction to Stochastic by : Lewis Frank L Staff

Download or read book Optimal and Robust Estimation with an Introduction to Stochastic written by Lewis Frank L Staff. This book was released on 2007-08. Available in PDF, EPUB and Kindle. Book excerpt:

Optimal Control and Stochastic Estimation

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Release : 1988-06-17
Genre : Mathematics
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Optimal Control and Stochastic Estimation by : Michael J. Grimble

Download or read book Optimal Control and Stochastic Estimation written by Michael J. Grimble. This book was released on 1988-06-17. Available in PDF, EPUB and Kindle. Book excerpt: Two volumes, which together present a modern and comprehensive overview of the field of optimal control and stochastic estimation.

Introduction to Optimal Estimation

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Release : 2012-12-06
Genre : Technology & Engineering
Kind : eBook
Book Rating : 17X/5 ( reviews)

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Book Synopsis Introduction to Optimal Estimation by : Edward W. Kamen

Download or read book Introduction to Optimal Estimation written by Edward W. Kamen. This book was released on 2012-12-06. Available in PDF, EPUB and Kindle. Book excerpt: A handy technical introduction to the latest theories and techniques of optimal estimation. It provides readers with extensive coverage of Wiener and Kalman filtering along with a development of least squares estimation, maximum likelihood and maximum a posteriori estimation based on discrete-time measurements. Much emphasis is placed on how they interrelate and fit together to form a systematic development of optimal estimation. Examples and exercises refer to MATLAB software.

Robust Optimization

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Release : 2009-08-10
Genre : Mathematics
Kind : eBook
Book Rating : 059/5 ( reviews)

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Book Synopsis Robust Optimization by : Aharon Ben-Tal

Download or read book Robust Optimization written by Aharon Ben-Tal. This book was released on 2009-08-10. Available in PDF, EPUB and Kindle. Book excerpt: Robust optimization is still a relatively new approach to optimization problems affected by uncertainty, but it has already proved so useful in real applications that it is difficult to tackle such problems today without considering this powerful methodology. Written by the principal developers of robust optimization, and describing the main achievements of a decade of research, this is the first book to provide a comprehensive and up-to-date account of the subject. Robust optimization is designed to meet some major challenges associated with uncertainty-affected optimization problems: to operate under lack of full information on the nature of uncertainty; to model the problem in a form that can be solved efficiently; and to provide guarantees about the performance of the solution. The book starts with a relatively simple treatment of uncertain linear programming, proceeding with a deep analysis of the interconnections between the construction of appropriate uncertainty sets and the classical chance constraints (probabilistic) approach. It then develops the robust optimization theory for uncertain conic quadratic and semidefinite optimization problems and dynamic (multistage) problems. The theory is supported by numerous examples and computational illustrations. An essential book for anyone working on optimization and decision making under uncertainty, Robust Optimization also makes an ideal graduate textbook on the subject.

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