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Author : W. L. de Koning
Release : 1988
Genre : Control theory
Kind : eBook
Book Rating : /5 ( reviews)
Book Synopsis Optimal Control, Estimation and Compensation of Linear Discrete-time Systems with Stochastic Parameters by : W. L. de Koning
Download or read book Optimal Control, Estimation and Compensation of Linear Discrete-time Systems with Stochastic Parameters written by W. L. de Koning. This book was released on 1988. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Willem Leopold Koning
Release : 1987
Genre :
Kind : eBook
Book Rating : /5 ( reviews)
Book Synopsis Optimal Control, Estimation and Compensation of Linear Discrete-time Systems with Stochastic Parameters by : Willem Leopold Koning
Download or read book Optimal Control, Estimation and Compensation of Linear Discrete-time Systems with Stochastic Parameters written by Willem Leopold Koning. This book was released on 1987. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Torsten Söderström
Release : 2012-12-06
Genre : Mathematics
Kind : eBook
Book Rating : 014/5 ( reviews)
Book Synopsis Discrete-time Stochastic Systems by : Torsten Söderström
Download or read book Discrete-time Stochastic Systems written by Torsten Söderström. This book was released on 2012-12-06. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive introduction to the estimation and control of dynamic stochastic systems provides complete derivations of key results. The second edition includes improved and updated material, and a new presentation of polynomial control and new derivation of linear-quadratic-Gaussian control.
Author : Goong Chen
Release : 1995-07-12
Genre : Business & Economics
Kind : eBook
Book Rating : 754/5 ( reviews)
Book Synopsis Linear Stochastic Control Systems by : Goong Chen
Download or read book Linear Stochastic Control Systems written by Goong Chen. This book was released on 1995-07-12. Available in PDF, EPUB and Kindle. Book excerpt: Linear Stochastic Control Systems presents a thorough description of the mathematical theory and fundamental principles of linear stochastic control systems. Both continuous-time and discrete-time systems are thoroughly covered. Reviews of the modern probability and random processes theories and the Itô stochastic differential equations are provided. Discrete-time stochastic systems theory, optimal estimation and Kalman filtering, and optimal stochastic control theory are studied in detail. A modern treatment of these same topics for continuous-time stochastic control systems is included. The text is written in an easy-to-understand style, and the reader needs only to have a background of elementary real analysis and linear deterministic systems theory to comprehend the subject matter. This graduate textbook is also suitable for self-study, professional training, and as a handy research reference. Linear Stochastic Control Systems is self-contained and provides a step-by-step development of the theory, with many illustrative examples, exercises, and engineering applications.
Author : Frank L. Lewis
Release : 2017-12-19
Genre : Technology & Engineering
Kind : eBook
Book Rating : 540/5 ( reviews)
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.
