Optimal Multivariable Control and Estimation Theory with Industrial Applications
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Publisher :
Page : pages
File Size : 12,20 MB
Release : 1981
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ISBN :
Author :
Publisher :
Page : pages
File Size : 12,20 MB
Release : 1981
Category :
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Author : John O'Reilly
Publisher : IET
Page : 476 pages
File Size : 15,12 MB
Release : 1987
Category : Mathematics
ISBN : 9780863411175
Very Good,No Highlights or Markup,all pages are intact.
Author : Robert F. Stengel
Publisher : Courier Corporation
Page : 674 pages
File Size : 31,94 MB
Release : 2012-10-16
Category : 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.
Author : George M. Siouris
Publisher : Wiley-Interscience
Page : 442 pages
File Size : 37,64 MB
Release : 1996-02-15
Category : 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.
Author : Eric Ostertag
Publisher : Springer Science & Business Media
Page : 359 pages
File Size : 46,38 MB
Release : 2011-01-03
Category : 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.
Author : P. Albertos Pérez
Publisher : Springer Science & Business Media
Page : 357 pages
File Size : 41,6 MB
Release : 2004
Category : Language Arts & Disciplines
ISBN : 1852337389
Multivariable Control Systems focuses on control design with continual references to the practical aspects of implementation. While the concepts of multivariable control are justified, the book emphasises the need to maintain student interest and motivation over exhaustive mathematical proof. Tools of analysis and representation are always developed as methods for achieving a final control system design and evaluation. Features: • design implementation laid out using extensive reference to MATLAB®; • combined consideration of systems (plant) and signals (mainly disturbances); • step-by-step approach from the objectives of multivariable control to the solution of complete design problems. Multivariable Control Systems is an ideal text for graduate students or for final-year undergraduates looking for more depth than provided by introductory textbooks. It will also interest the control engineer practising in industry and seeking to implement robust or multivariable control solutions to plant problems.
Author : Andrzej Ordys
Publisher : Springer Science & Business Media
Page : 341 pages
File Size : 25,80 MB
Release : 2007-05-19
Category : Technology & Engineering
ISBN : 1846286247
This book is a practical guide to the application of control benchmarking to real, complex, industrial processes. The variety of industrial case studies gives the benchmarking ideas presented a robust real-world attitude. The book deals with control engineering principles and economic and management aspects of benchmarking. It shows the reader how to avoid common problems in benchmarking and details the benefits of effective benchmarking.
Author : Michael J. Grimble
Publisher : John Wiley & Sons
Page : 590 pages
File Size : 46,52 MB
Release : 1988
Category : Mathematics
ISBN :
Two volumes, which together present a modern and comprehensive overview of the field of optimal control and stochastic estimation.
Author : Frank L. Lewis
Publisher : CRC Press
Page : 546 pages
File Size : 37,18 MB
Release : 2017-12-19
Category : 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.
Author : Michael J. Grimble
Publisher : John Wiley & Sons
Page : 698 pages
File Size : 42,97 MB
Release : 2006-05-01
Category : Science
ISBN : 0470020741
Robust Industrial Control Systems: Optimal Design Approach for Polynomial Systems presents a comprehensive introduction to the use of frequency domain and polynomial system design techniques for a range of industrial control and signal processing applications. The solution of stochastic and robust optimal control problems is considered, building up from single-input problems and gradually developing the results for multivariable design of the later chapters. In addition to cataloguing many of the results in polynomial systems needed to calculate industrial controllers and filters, basic design procedures are also introduced which enable cost functions and system descriptions to be specified in order to satisfy industrial requirements. Providing a range of solutions to control and signal processing problems, this book: * Presents a comprehensive introduction to the polynomial systems approach for the solution of H_2 and H_infinity optimal control problems. * Develops robust control design procedures using frequency domain methods. * Demonstrates design examples for gas turbines, marine systems, metal processing, flight control, wind turbines, process control and manufacturing systems. * Includes the analysis of multi-degrees of freedom controllers and the computation of restricted structure controllers that are simple to implement. * Considers time-varying control and signal processing problems. * Addresses the control of non-linear processes using both multiple model concepts and new optimal control solutions. Robust Industrial Control Systems: Optimal Design Approach for Polynomial Systems is essential reading for professional engineers requiring an introduction to optimal control theory and insights into its use in the design of real industrial processes. Students and researchers in the field will also find it an excellent reference tool.