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| Author | : Da-Wei Gu |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 393 |
| Release | : 2006-03-30 |
| Genre | : Technology & Engineering |
| ISBN | : 1846280915 |
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 | : Petko Hristov Petkov |
| Publisher | : Control, Robotics and Sensors |
| Total Pages | : 533 |
| Release | : 2018 |
| Genre | : Computers |
| ISBN | : 1785613308 |
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.
| Author | : Uwe Mackenroth |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 524 |
| Release | : 2013-04-17 |
| Genre | : 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 | : Luigi Fortuna |
| Publisher | : CRC Press |
| Total Pages | : 253 |
| Release | : 2012-02-02 |
| Genre | : 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.
| Author | : Da-Wei Gu |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 473 |
| Release | : 2014-07-08 |
| Genre | : Technology & Engineering |
| ISBN | : 1447146824 |
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.
| Author | : Cesar Lopez |
| Publisher | : Apress |
| Total Pages | : 170 |
| Release | : 2014-09-22 |
| Genre | : Computers |
| ISBN | : 1484202899 |
MATLAB is a high-level language and environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or traditional programming languages, such as C/C++ or Java. MATLAB Control Systems Engineering introduces you to the MATLAB language with practical hands-on instructions and results, allowing you to quickly achieve your goals. In addition to giving an introduction to the MATLAB environment and MATLAB programming, this book provides all the material needed to design and analyze control systems using MATLAB’s specialized Control Systems Toolbox. The Control Systems Toolbox offers an extensive range of tools for classical and modern control design. Using these tools you can create models of linear time-invariant systems in transfer function, zero-pole-gain or state space format. You can manipulate both discrete-time and continuous-time systems and convert between various representations. You can calculate and graph time response, frequency response and loci of roots. Other functions allow you to perform pole placement, optimal control and estimates. The Control System Toolbox is open and extendible, allowing you to create customized M-files to suit your specific applications.
| Author | : Dingyu Xue |
| Publisher | : SIAM |
| Total Pages | : 366 |
| Release | : 2007-01-01 |
| Genre | : Mathematics |
| ISBN | : 9780898718621 |
This book discusses analysis and design techniques for linear feedback control systems using MATLAB® software. By reducing the mathematics, increasing MATLAB working examples, and inserting short scripts and plots within the text, the authors have created a resource suitable for almost any type of user. The book begins with a summary of the properties of linear systems and addresses modeling and model reduction issues. In the subsequent chapters on analysis, the authors introduce time domain, complex plane, and frequency domain techniques. Their coverage of design includes discussions on model-based controller designs, PID controllers, and robust control designs. A unique aspect of the book is its inclusion of a chapter on fractional-order controllers, which are useful in control engineering practice.
| Author | : Qing-Chang Zhong |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 243 |
| Release | : 2006-05-28 |
| Genre | : Technology & Engineering |
| ISBN | : 1846282659 |
Recently, there have been significant developments in robust control of time-delay systems. This volume presents a systematic treatment of robust control for such systems in the frequency domain. The emphasis is on systems with a single input or output delay, although the delay-free part of the plant can be multi-input-multi-output, in which case the delays in different channels should be the same. The author covers the whole range of H-infinity control of time-delay systems: from controller parameterization implementation; from the Nehari problem to the four-block problem; from theoretical developments to practical issues. The major tools used are similarity transformation, the chain-scattering approach and J-spectral factorization. Self-contained, "Robust Control of Time-delay Systems" will interest control theorists and mathematicians working with time-delay systems. Its methodical approach will be of value to graduates studying general robust control theory or its applications in time-delay systems.
| Author | : Da-Wei Gu |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 832 |
| Release | : 2005-06-20 |
| Genre | : 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 | : Petko Hr. Petkov |
| Publisher | : |
| Total Pages | : 516 |
| Release | : 2018 |
| Genre | : COMPUTERS |
| ISBN | : 9781523121069 |
The aim of this book is to give the necessary knowledge about the implementation of MATLABʼ and Simulinkʼ in the development of embedded control systems. Together, MATLAB and Simulink present a sophisticated programming environment which may be used for the design as well as for the implementation of embedded control systems. In this book, the authors exploit the opportunity to generate automatically and embed control code from Simulink models which allows to develop quickly efficient and error free code. The automated code generation and the availability of powerful processors make possible the implementation of complex high-order controllers which achieve fast and high-performance closed-loop dynamics.
