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Robust Modal Control with a Toolbox for Use with MATLAB®

Robust Modal Control with a Toolbox for Use with MATLAB®
Author: Jean-François Magni
Publisher: Springer Science & Business Media
Total Pages: 303
Release: 2012-12-06
Genre: Science
ISBN: 1461506379

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Robust Modal Control covers most classical multivariable modal control design techniques that were shown to be effective in practice, and in addition proposes several new tools. The proposed new tools include: minimum energy eigenvector selection, low order observer-based control design, conversion to observer-based controllers, a new multimodel design technique, and modal analysis. The text is accompanied by a CD-ROM containing MATLAB® software for the implementation of the proposed techniques. The software is in use in aeronautical industry and has proven to be effective and functional. For more detail, please visit the author's webpage at http://www.cert.fr/dcsd/idco/perso/Magni/booksandtb.html


Robust Control Design with MATLAB®

Robust Control Design with MATLAB®
Author: Da-Wei Gu
Publisher: Springer Science & Business Media
Total Pages: 473
Release: 2014-07-08
Genre: Technology & Engineering
ISBN: 1447146824

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Robust Control Design with MATLAB® (second edition) helps the student to learn how to use well-developed advanced robust control design methods in practical cases. To this end, several realistic control design examples from teaching-laboratory experiments, such as a two-wheeled, self-balancing robot, to complex systems like a flexible-link manipulator are given detailed presentation. All of these exercises are conducted using MATLAB® Robust Control Toolbox 3, Control System Toolbox and Simulink®. By sharing their experiences in industrial cases with minimum recourse to complicated theories and formulae, the authors convey essential ideas and useful insights into robust industrial control systems design using major H-infinity optimization and related methods allowing readers quickly to move on with their own challenges. The hands-on tutorial style of this text rests on an abundance of examples and features for the second edition: • rewritten and simplified presentation of theoretical and methodological material including original coverage of linear matrix inequalities; • new Part II forming a tutorial on Robust Control Toolbox 3; • fresh design problems including the control of a two-rotor dynamic system; and • end-of-chapter exercises. Electronic supplements to the written text that can be downloaded from extras.springer.com/isbn include: • M-files developed with MATLAB® help in understanding the essence of robust control system design portrayed in text-based examples; • MDL-files for simulation of open- and closed-loop systems in Simulink®; and • a solutions manual available free of charge to those adopting Robust Control Design with MATLAB® as a textbook for courses. Robust Control Design with MATLAB® is for graduate students and practising engineers who want to learn how to deal with robust control design problems without spending a lot of time in researching complex theoretical developments.


Robust Control Design with MATLAB®

Robust Control Design with MATLAB®
Author: Da-Wei Gu
Publisher: Springer Science & Business Media
Total Pages: 832
Release: 2005-06-20
Genre: Technology & Engineering
ISBN: 9781852339838

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Shows readers how to exploit the capabilities of the MATLAB® Robust Control and Control Systems Toolboxes to the fullest using practical robust control examples.


Robust Control Systems Using MATLAB

Robust Control Systems Using MATLAB
Author: Levy P.
Publisher: Createspace Independent Publishing Platform
Total Pages: 402
Release: 2016-11-21
Genre:
ISBN: 9781540534194

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Robust Control Toolbox provides tools for analyzing and automatically tuning control systems for performance and robustness. You can create uncertain models by combining nominal dynamics with uncertain elements, such as an uncertain parameter or unmodeled dynamics. You can analyze the impact of plant model uncertainty on control system performance and identify worst-case combinations of uncertain elements. Using H-infinity or mu-synthesis techniques, you can design controllers that maximize robust stability and performance. The toolbox can automatically tune both SISO and MIMO robust controllers, including decentralized control architectures modeled in Simulink(r). You can validate your design by calculating worst-case gain and phase margins and worst-case sensitivity to disturbances. The more important features are de next:* Modeling of systems with uncertain parameters or neglected dynamics * Worst-case stability and performance analysis of uncertain systems* Automatic tuning of centralized and decentralized control systems* Robustness analysis and controller tuning in Simulink* H-infinity and mu-synthesis algorithms* General-purpose LMI solvers for feasibility, minimization of linear objectives, and generalized eigenvalue minimization* Model reduction algorithms based on Hankel singular values


System Design through Matlab®, Control Toolbox and Simulink®

System Design through Matlab®, Control Toolbox and Simulink®
Author: Krishna K. Singh
Publisher: Springer Science & Business Media
Total Pages: 500
Release: 2012-12-06
Genre: Technology & Engineering
ISBN: 1447106970

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MATLAB is a powerful, versatile, and interactive software for scientific and technical computations, including simulations. Specialized toolboxes provided with built-in functions are a special feature of MATLAB. This book aims at getting the reader started with computations and simulations in system engineering quickly and easily and then proceeds to build concepts for advanced computations and simulations that include the control and compensation of systems. Simulation through SIMULINK has also been described to allow the reader to get the feel of the real world situation.


Design of Embedded Robust Control Systems Using MATLAB® / Simulink®

Design of Embedded Robust Control Systems Using MATLAB® / Simulink®
Author: Petko Hristov Petkov
Publisher: Control, Robotics and Sensors
Total Pages: 533
Release: 2018
Genre: Computers
ISBN: 1785613308

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The aim of this book is to present the theoretical and practical aspects of embedded robust control design and implementation with the aid of MATLAB(R) and SIMULINK(R). It covers methods suitable for practical implementations, combining knowledge from control system design and computer engineering to describe the entire design cycle.


Control Systems With Matlab

Control Systems With Matlab
Author: Cesar Perez Lopez
Publisher: CreateSpace
Total Pages: 174
Release: 2014-03-10
Genre: Technology & Engineering
ISBN: 9781496196941

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MATLAB dedicated a specific part of your content to control systems through the Control System Toolbox. Control System Toolbox is a collection of algorithms that implement common techniques of design, analysis, and models of control systems. Its wide range of services includes classic and modern methods of design of controls, including root locus, pole placement and LQG regulators design. Certain graphical user interfaces appropriate simplify the typical tasks of control engineering. This toolbox is built on the foundations of MATLAB to provide specialized tools for control systems engineering. The toolbox is a collection of algorithms, mainly written as files.M, running common techniques for design, analysis and modeling of control systems. With Control System Toolbox can create models of linear invariant systems (LTI) time as transfer function, zero/pole/amplification or form of State space. You can manipulate both discrete and continuous time systems and make conversions between various representations of models. You can calculate and graph time response, frequency response and loci of roots. Other functions allow you to perform placement of Poles, optimal control and estimates. The Control System Toolbox is open and extensible, allowing you to create files.M customized to suit your specific application. This book starts by introducing the reader in the MATLAB environment and trying all the tools necessary to pair properly work with procedures of Control System Toolbox. Subsequently elaborates on specific systems of control procedures by presenting a wide variety of exercises to clarify theoretical concepts. The exercises are presented in sequential order of difficulty to facilitate the understanding of the matter. The content is as follows: INTRODUCTION MATLAB INTRODUCTION AND WORKING ENVIRONMENT VARIABLES, NUMBERS, OPERATORS AND FUNCTIONS CONTROL SYSTEMS CONTROL SYSTEMS DESIGN AND ANALYSIS: CONTROL SYSTEM TOOLBOX CONSTRUCTION OF MODELS ANALYSIS AND DESIGN COMMAND CONTROL SYSTEM TOOLBOX COMMANDS ON MODELS LTI COMMANDS ON MODEL FEATURES COMMANDS FOR MODELS CONVERSION COMMANDS FOR REDUCED ORDER MODELS COMMANDS RELATE TO STATES SPACE COMMANDS OF DYNAMIC MODELS COMMANDS FOR INTERCONNECTION MODELS COMMANDS RESPONSE TIME FREQUENCY RESPONSE COMMANDS COMMANDS POLE LOCATION DESIGN COMMNADS LQG COMMANDS SOLVING EQUATIONS ROBUST PREDICTIVE CONTROL PREDICTIVE CONTROL STRATEGIES MODEL PREDICTIVE CONTROL TOOLBOX COMMAND ID INFORMATION MATRIX PLOTTING COMMANDS CONVERSION MODELS COMMANDS BUILDING MODELS COMMAND- MPC MOD FORMAT CONTROL DESIGN AND SIMULATION COMMANDS - MPC STEP FORMAT COMMANDS FOR CONTROL DESIGN AND SIMULATION - MPC MOD FORMAT SCRIPT ANALYSIS ROBUST CONTROL SYSTEMS: ROBUST CONTROL TOOLBOX COMMANDS FOR OPTIONAL DATA STRUCTURE SYSTEM COMMANDS FOR MODELING COMMANDS FOR MODELS CONVERSION UTILITY COMMANDS COMMANDS FOR GRAPHICS BODE MULTIVARIATE


Multivariable Feedback Control

Multivariable Feedback Control
Author: Sigurd Skogestad
Publisher: John Wiley & Sons
Total Pages: 594
Release: 2005-11-04
Genre: Science
ISBN: 047001167X

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Multivariable Feedback Control: Analysis and Design, Second Edition presents a rigorous, yet easily readable, introduction to the analysis and design of robust multivariable control systems. Focusing on practical feedback control and not on system theory in general, this book provides the reader with insights into the opportunities and limitations of feedback control. Taking into account the latest developments in the field, this fully revised and updated second edition: * features a new chapter devoted to the use of linear matrix inequalities (LMIs); * presents current results on fundamental performance limitations introduced by RHP-poles and RHP-zeros; * introduces updated material on the selection of controlled variables and self-optimizing control; * provides simple IMC tuning rules for PID control; * covers additional material including unstable plants, the feedback amplifier, the lower gain margin and a clear strategy for incorporating integral action into LQG control; * includes numerous worked examples, exercises and case studies, which make frequent use of Matlab and the new Robust Control toolbox. Multivariable Feedback Control: Analysis and Design, Second Edition is an excellent resource for advanced undergraduate and graduate courses studying multivariable control. It is also an invaluable tool for engineers who want to understand multivariable control, its limitations, and how it can be applied in practice. The analysis techniques and the material on control structure design should prove very useful in the new emerging area of systems biology. Reviews of the first edition: "Being rich in insights and practical tips on controller design, the book should also prove to be very beneficial to industrial control engineers, both as a reference book and as an educational tool." Applied Mechanics Reviews "In summary, this book can be strongly recommended not only as a basic text in multivariable control techniques for graduate and undergraduate students, but also as a valuable source of information for control engineers." International Journal of Adaptive Control and Signal Processing


Optimal and Robust Control

Optimal and Robust Control
Author: LUIGI. FORTUNA
Publisher: CRC Press
Total Pages: 306
Release: 2021-11-18
Genre:
ISBN: 9781032053004

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This new edition 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 and details analytical strategies for obtaining reduced order models.


Practical Design and Application of Model Predictive Control

Practical Design and Application of Model Predictive Control
Author: Nassim Khaled
Publisher: Butterworth-Heinemann
Total Pages: 262
Release: 2018-05-04
Genre: Technology & Engineering
ISBN: 0128139196

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Practical Design and Application of Model Predictive Control is a self-learning resource on how to design, tune and deploy an MPC using MATLAB® and Simulink®. This reference is one of the most detailed publications on how to design and tune MPC controllers. Examples presented range from double-Mass spring system, ship heading and speed control, robustness analysis through Monte-Carlo simulations, photovoltaic optimal control, and energy management of power-split and air-handling control. Readers will also learn how to embed the designed MPC controller in a real-time platform such as Arduino®. The selected problems are nonlinear and challenging, and thus serve as an excellent experimental, dynamic system to show the reader the capability of MPC. The step-by-step solutions of the problems are thoroughly documented to allow the reader to easily replicate the results. Furthermore, the MATLAB® and Simulink® codes for the solutions are available for free download. Readers can connect with the authors through the dedicated website which includes additional free resources at www.practicalmpc.com. Illustrates how to design, tune and deploy MPC for projects in a quick manner Demonstrates a variety of applications that are solved using MATLAB® and Simulink® Bridges the gap in providing a number of realistic problems with very hands-on training Provides MATLAB® and Simulink® code solutions. This includes nonlinear plant models that the reader can use for other projects and research work Presents application problems with solutions to help reinforce the information learned