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Author: Katsuhiko Ogata
Publisher: Prentice Hall
ISBN: 0136150772
Category : Automatic control
Languages : en
Pages : 449
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Book Description
For senior-level courses in Control Theory, offered by departments of Electrical & Computer Engineering or Mechanical & Aerospace Engineering. Notable author Katsuhiko Ogata presents the only book available to discuss, in sufficient detail, the details of MATLAB(R) materials needed to solve many analysis and design problems associated with control systems. In this new text, Ogata complements a large number of examples with in-depth explanations, encouraging complete understanding of the MATLAB approach to solving problems. The book's flexible presentation makes it ideal for use as a stand-alone text for those wishing to expand their knowledge of MATLAB; it can also be used in conjunction with a wide range of currently available control textbooks
Author: Katsuhiko Ogata
Publisher: Prentice Hall
ISBN: 0136150772
Category : Automatic control
Languages : en
Pages : 449
Get Book Here
Book Description
For senior-level courses in Control Theory, offered by departments of Electrical & Computer Engineering or Mechanical & Aerospace Engineering. Notable author Katsuhiko Ogata presents the only book available to discuss, in sufficient detail, the details of MATLAB(R) materials needed to solve many analysis and design problems associated with control systems. In this new text, Ogata complements a large number of examples with in-depth explanations, encouraging complete understanding of the MATLAB approach to solving problems. The book's flexible presentation makes it ideal for use as a stand-alone text for those wishing to expand their knowledge of MATLAB; it can also be used in conjunction with a wide range of currently available control textbooks
Author: Rao V. Dukkipati
Publisher: New Academic Science
ISBN: 9781781830062
Category : Technology & Engineering
Languages : en
Pages : 590
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Book Description
MATLAB for control system engineers is designed as an introductory undergraduate or graduate course for science and engineering students of all disciplines. Control systems engineering is a multidisciplinary subject and presents a control engineering methodology based on mathematical fundamentals and stresses physical system modeling. The classical methods of control systems engineering are covered here using MATLAB software: matrix analysis, Laplace transforms and transfer functions, root locus analysis and design, frequency response methods of analysis including Bode, Nyquist, and Nichols, second order systems approximations, phase and gain margin and bandwidth, and state space variable method. Presentations are limited to linear, time-invariant continuous systems.
Author: Cesar Lopez
Publisher: Apress
ISBN: 1484202899
Category : Computers
Languages : en
Pages : 170
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Book Description
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: László Keviczky
Publisher: Springer
ISBN: 9811082979
Category : Technology & Engineering
Languages : en
Pages : 545
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Book Description
This book offers fundamental information on the analysis and synthesis of continuous and sampled data control systems. It includes all the required preliminary materials (from mathematics, signals and systems) that are needed in order to understand control theory, so readers do not have to turn to other textbooks. Sampled data systems have recently gained increasing importance, as they provide the basis for the analysis and design of computer-controlled systems. Though the book mainly focuses on linear systems, input/output approaches and state space descriptions are also provided. Control structures such as feedback, feed forward, internal model control, state feedback control, and the Youla parameterization approach are discussed, while a closing section outlines advanced areas of control theory. Though the book also contains selected examples, a related exercise book provides Matlab/Simulink exercises for all topics discussed in the textbook, helping readers to understand the theory and apply it in order to solve control problems. Thanks to this combination, readers will gain a basic grasp of systems and control, and be able to analyze and design continuous and discrete control systems.
Author: Stanley M. Shinners
Publisher: Wiley-Interscience
ISBN:
Category : Science
Languages : en
Pages : 888
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Book Description
Offers unified treatment of conventional and modern continuous and discrete control theory and demonstrates how to apply the theory to realistic control system design problems. Along with linear and nonlinear, digital and optimal control systems, it presents four case studies of actual designs. The majority of solutions contained in the book and the problems at the ends of the chapters were generated using the commercial software package, MATLAB, and is available free to the users of the book by returning a postcard contained with the book to the MathWorks, Inc. This software also contains the following features/utilities created to enhance MATLAB and several of the MathWorks' toolboxes: Tutorial File which contains the essentials necessary to understand the MATLAB interface (other books require additional books for full comprehension), Demonstration m-file which gives the users a feel for the various utilities included, OnLine HELP, Synopsis File which reviews and highlights the features of each chapter.
Author: Rao V. Dukkipati
Publisher: New Age International
ISBN: 8122418090
Category : Automatic control
Languages : en
Pages : 26
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Book Description
Author: Liuping Wang
Publisher: Springer Science & Business Media
ISBN: 1848823312
Category : Technology & Engineering
Languages : en
Pages : 398
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Book Description
Model Predictive Control System Design and Implementation Using MATLAB® proposes methods for design and implementation of MPC systems using basis functions that confer the following advantages: - continuous- and discrete-time MPC problems solved in similar design frameworks; - a parsimonious parametric representation of the control trajectory gives rise to computationally efficient algorithms and better on-line performance; and - a more general discrete-time representation of MPC design that becomes identical to the traditional approach for an appropriate choice of parameters. After the theoretical presentation, coverage is given to three industrial applications. The subject of quadratic programming, often associated with the core optimization algorithms of MPC is also introduced and explained. The technical contents of this book is mainly based on advances in MPC using state-space models and basis functions. This volume includes numerous analytical examples and problems and MATLAB® programs and exercises.
Author: Dingyu Xue
Publisher: SIAM
ISBN: 9780898718621
Category : Mathematics
Languages : en
Pages : 366
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Book Description
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: Liuping Wang
Publisher: John Wiley & Sons
ISBN: 1119469341
Category : Science
Languages : en
Pages : 366
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Book Description
Covers PID control systems from the very basics to the advanced topics This book covers the design, implementation and automatic tuning of PID control systems with operational constraints. It provides students, researchers, and industrial practitioners with everything they need to know about PID control systems—from classical tuning rules and model-based design to constraints, automatic tuning, cascade control, and gain scheduled control. PID Control System Design and Automatic Tuning using MATLAB/Simulink introduces PID control system structures, sensitivity analysis, PID control design, implementation with constraints, disturbance observer-based PID control, gain scheduled PID control systems, cascade PID control systems, PID control design for complex systems, automatic tuning and applications of PID control to unmanned aerial vehicles. It also presents resonant control systems relevant to many engineering applications. The implementation of PID control and resonant control highlights how to deal with operational constraints. Provides unique coverage of PID Control of unmanned aerial vehicles (UAVs), including mathematical models of multi-rotor UAVs, control strategies of UAVs, and automatic tuning of PID controllers for UAVs Provides detailed descriptions of automatic tuning of PID control systems, including relay feedback control systems, frequency response estimation, Monte-Carlo simulation studies, PID controller design using frequency domain information, and MATLAB/Simulink simulation and implementation programs for automatic tuning Includes 15 MATLAB/Simulink tutorials, in a step-by-step manner, to illustrate the design, simulation, implementation and automatic tuning of PID control systems Assists lecturers, teaching assistants, students, and other readers to learn PID control with constraints and apply the control theory to various areas. Accompanying website includes lecture slides and MATLAB/ Simulink programs PID Control System Design and Automatic Tuning using MATLAB/Simulink is intended for undergraduate electrical, chemical, mechanical, and aerospace engineering students, and will greatly benefit postgraduate students, researchers, and industrial personnel who work with control systems and their applications.
Author: David M. Koenig
Publisher: McGraw Hill Professional
ISBN: 0071606149
Category : Technology & Engineering
Languages : en
Pages : 499
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Book Description
An Essential Guide to Control Engineering Fundamentals Understand the day-to-day procedures of today's control engineer with the pragmatic insights and techniques contained in this unique resource. Written in clear, concise language, Practical Control Engineering shows, step-by-step, how engineers simulate real-world phenomena using dynamic models and algorithms. Learn how to handle single and multiple-staged systems, implement error-free feedback control, eliminate anomalies, and work in the frequency and discrete-time domains. Extensive appendices cover basic calculus, differential equations, vector math, Laplace and Z-transforms, and Matlab basics. Practical Control Engineering explains how to: Gain insight into control engineering and process analysis Write and debug algorithms that simulate physical processes Understand feedback, feedforward, open loops, and cascade controls Build behavioral models using basic applied mathematics Analyze lumped, underdamped, and distributed processes Comprehend matrix, vector, and state estimation concepts Convert from continuous to discrete-time and frequency domains Filter out white noise, colored noise, and stochaic disturbances
