Availability: In Stock

Optimal and Robust Estimation With an Introduction to Stochastic Control Theory, Second Edition 2nd Edition

SKU: 9781420008296

Original price was: $200.00.Current price is: $24.99.

Access Optimal and Robust Estimation With an Introduction to Stochastic Control Theory, Second Edition 2nd Edition Now. Discount up to 90%

Additional information

Full Title

Optimal and Robust Estimation With an Introduction to Stochastic Control Theory, Second Edition 2nd Edition

Author(s)

Frank L. Lewis, Lihua Xie, Dan Popa

Edition

2nd Edition

ISBN

9781420008296, 9780849390081, 9781315221656, 9781322618326

Publisher

CRC Press

Format

PDF and EPUB

Description

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.

Availability: In Stock

Optimal and Robust Estimation With an Introduction to Stochastic Control Theory, Second Edition 2nd Edition

SKU: 9781351837545

Original price was: $210.00.Current price is: $24.99.

Access Optimal and Robust Estimation With an Introduction to Stochastic Control Theory, Second Edition 2nd Edition Now. Discount up to 90%

Additional information

Full Title

Optimal and Robust Estimation With an Introduction to Stochastic Control Theory, Second Edition 2nd Edition

Author(s)

Frank L. Lewis, Lihua Xie, Dan Popa

Edition

2nd Edition

ISBN

9781351837545, 9780849390081, 9781315221656, 9781420008296, 9781351828857

Publisher

CRC Press

Format

PDF and EPUB

Description

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® 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.