Author : Ben M. Chen
Publisher : Springer Science & Business Media
Page : 451 pages
File Size : 36,48 MB
Release : 2013-03-14
Category : Technology & Engineering
ISBN : 1447136535
H-infinity control theory deals with the minimization of the H-norm of the transfer matrix from an exogenous disturbance to a pertinent controlled output of a given plant. This comprehensive book examines both the theoretical and practical aspects of H-infinity control from the angle of the structural properties of linear systems.
Author : Ian R. Petersen
Publisher : Springer Science & Business Media
Page : 478 pages
File Size : 25,12 MB
Release : 2000-09-22
Category : Computers
ISBN : 9781852331719
This book provides a unified collection of important, recent results for the design of robust controllers for uncertain systems. Most of the results presented are based on H? control theory, or its stochastic counterpart, risk sensitive control theory.Central to the philosophy of the book is the notion of an uncertain system. Uncertain systems are considered using several different uncertainty modeling schemes. These include norm bounded uncertainty, integral quadratic constraint (IQC) uncertainty and a number of stochastic uncertainty descriptions. In particular, the authors examine stochastic uncertain systems in which the uncertainty is outlined by a stochastic version of the IQC uncertainty description.For each class of uncertain systems covered in the book, corresponding robust control problems are defined and solutions discussed.
Author : Uwe Mackenroth
Publisher : Springer Science & Business Media
Page : 524 pages
File Size : 15,32 MB
Release : 2013-04-17
Category : Mathematics
ISBN : 3662097753
Self-contained introduction to control theory that emphasizes on the most modern designs for high performance and robustness. It assumes no previous coursework and offers three chapters of key topics summarizing classical control. To provide readers with a deeper understanding of robust control theory than would be otherwise possible, the text incorporates mathematical derivations and proofs. Includes many elementary examples and advanced case studies using MATLAB Toolboxes.
Author : Kemin Zhou
Publisher : Pearson
Page : 0 pages
File Size : 48,65 MB
Release : 1996
Category : Control theory
ISBN : 9780134565675
Class-tested at major institutions around the world, this work offers complete coverage of robust and H control. It features clear coverage of methodology, and provides detailed treatment of topics including Riccati equations, m theory, H loopshaping and controller reduction.
Author : Kang-Zhi Liu
Publisher : John Wiley & Sons
Page : 652 pages
File Size : 22,8 MB
Release : 2016-12-08
Category : Science
ISBN : 1118754425
Comprehensive and up to date coverage of robust control theory and its application • Presented in a well-planned and logical way • Written by a respected leading author, with extensive experience in robust control • Accompanying website provides solutions manual and other supplementary material
Author : Kemin Zhou
Publisher : Pearson
Page : 0 pages
File Size : 39,13 MB
Release : 1998
Category : Automatic control
ISBN : 9780135258330
Based upon the popular Robust and Optimal Control by Zhou, et al. (PH, 1995), this book offers a streamlined approach to robust control that reflects the most recent topics and developments in the field. It features coverage of state-of-the-art topics, including gap metric, v-gap metric, model validation, and real mu.
Author : Ciprian Foias
Publisher : Springer
Page : 238 pages
File Size : 37,98 MB
Release : 1995-12
Category : Technology & Engineering
ISBN :
Since its inception, H( optimization theory has become the control methodology of choice in robust feedback analysis and design. This monograph presents an operator theoretic approach to the H( control for disturbed parameter systems, that is, systems which admit infinite dimensional state spaces.
Author : Adriano A. G. Siqueira
Publisher : Springer Science & Business Media
Page : 234 pages
File Size : 25,53 MB
Release : 2011-08-14
Category : Technology & Engineering
ISBN : 0857298984
Robust Control of Robots bridges the gap between robust control theory and applications, with a special focus on robotic manipulators. It is divided into three parts: robust control of regular, fully-actuated robotic manipulators; robust post-failure control of robotic manipulators; and robust control of cooperative robotic manipulators. In each chapter the mathematical concepts are illustrated with experimental results obtained with a two-manipulator system. They are presented in enough detail to allow readers to implement the concepts in their own systems, or in Control Environment for Robots, a MATLAB®-based simulation program freely available from the authors. The target audience for Robust Control of Robots includes researchers, practicing engineers, and graduate students interested in implementing robust and fault tolerant control methodologies to robotic manipulators.
Author : Da-Wei Gu
Publisher : Springer Science & Business Media
Page : 832 pages
File Size : 27,13 MB
Release : 2005-06-20
Category : Technology & Engineering
ISBN : 9781852339838
Shows readers how to exploit the capabilities of the MATLAB® Robust Control and Control Systems Toolboxes to the fullest using practical robust control examples.
Author : Luigi Fortuna
Publisher : CRC Press
Page : 253 pages
File Size : 14,92 MB
Release : 2012-02-02
Category : Technology & Engineering
ISBN : 146650191X
While there are many books on advanced control for specialists, there are few that present these topics for nonspecialists. Assuming only a basic knowledge of automatic control and signals and systems, Optimal and Robust Control: Advanced Topics with MATLAB® offers a straightforward, self-contained handbook of advanced topics and tools in automatic control. Techniques for Controlling System Performance in the Presence of Uncertainty The book deals with advanced automatic control techniques, paying particular attention to robustness—the ability to guarantee stability in the presence of uncertainty. It explains advanced techniques for handling uncertainty and optimizing the control loop. It also details analytical strategies for obtaining reduced order models. The authors then propose using the Linear Matrix Inequalities (LMI) technique as a unifying tool to solve many types of advanced control problems. Topics covered include: LQR and H-infinity approaches Kalman and singular value decomposition Open-loop balancing and reduced order models Closed-loop balancing Passive systems and bounded-real systems Criteria for stability control This easy-to-read text presents the essential theoretical background and provides numerous examples and MATLAB exercises to help the reader efficiently acquire new skills. Written for electrical, electronic, computer science, space, and automation engineers interested in automatic control, this book can also be used for self-study or for a one-semester course in robust control.
