Optimal Multivariable Control and Estimation Theory with Industrial Applications
Title | Optimal Multivariable Control and Estimation Theory with Industrial Applications PDF eBook |
Author | |
Publisher | |
Pages | |
Release | 1981 |
Genre | |
ISBN |
Multivariable Control for Industrial Applications
Title | Multivariable Control for Industrial Applications PDF eBook |
Author | John O'Reilly |
Publisher | IET |
Pages | 476 |
Release | 1987 |
Genre | Mathematics |
ISBN | 9780863411175 |
Very Good,No Highlights or Markup,all pages are intact.
Mono- and Multivariable Control and Estimation
Title | Mono- and Multivariable Control and Estimation PDF eBook |
Author | Eric Ostertag |
Publisher | Springer Science & Business Media |
Pages | 359 |
Release | 2011-01-03 |
Genre | Technology & Engineering |
ISBN | 3642137342 |
This book presents the various design methods of a state-feedback control law and of an observer. The considered systems are of continuous-time and of discrete-time nature, monovariable or multivariable, the last ones being of main consideration. Three different approaches are described: • Linear design methods, with an emphasis on decoupling strategies, and a general formula for multivariable controller or observer design; • Quadratic optimization methods: Linear Quadratic Control (LQC), optimal Kalman filtering, Linear Quadratic Gaussian (LQG) control; • Linear matrix inequalities (LMIs) to solve linear and quadratic problems. The duality between control and observation is taken to advantage and extended up to the mathematical domain. A large number of exercises, all given with their detailed solutions, mostly obtained with MATLAB, reinforce and exemplify the practical orientation of this book. The programs, created by the author for their solving, are available on the Internet sites of Springer and of MathWorks for downloading. This book is targeted at students of Engineering Schools or Universities, at the Master’s level, at engineers desiring to design and implement innovative control methods, and at researchers.
Optimal Control and Estimation
Title | Optimal Control and Estimation PDF eBook |
Author | Robert F. Stengel |
Publisher | Courier Corporation |
Pages | 674 |
Release | 2012-10-16 |
Genre | Mathematics |
ISBN | 0486134814 |
Graduate-level text provides introduction to optimal control theory for stochastic systems, emphasizing application of basic concepts to real problems. "Invaluable as a reference for those already familiar with the subject." — Automatica.
An Engineering Approach to Optimal Control and Estimation Theory
Title | An Engineering Approach to Optimal Control and Estimation Theory PDF eBook |
Author | George M. Siouris |
Publisher | Wiley-Interscience |
Pages | 442 |
Release | 1996-02-15 |
Genre | Science |
ISBN |
In its highly organized overview of all areas, the book examines the design of modern optimal controllers requiring the selection of a performance criterion, demonstrates optimization of linear systems with bounded controls and limited control effort, and considers nonlinearities and their effect on various types of signals.
Optimal Control and Stochastic Estimation
Title | Optimal Control and Stochastic Estimation PDF eBook |
Author | Michael J. Grimble |
Publisher | John Wiley & Sons |
Pages | 590 |
Release | 1988 |
Genre | Mathematics |
ISBN |
Two volumes, which together present a modern and comprehensive overview of the field of optimal control and stochastic estimation.
Optimal and Robust Estimation
Title | Optimal and Robust Estimation PDF eBook |
Author | Frank L. Lewis |
Publisher | CRC Press |
Pages | 546 |
Release | 2017-12-19 |
Genre | Technology & Engineering |
ISBN | 1420008293 |
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.