Advanced Linear Continuous Control Systems Applications With Matlab Programming And Simulink
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Principles of Advanced Feedback Control with Practical Applications
Author: Pasquale De Marco
language: en
Publisher: Pasquale De Marco
Release Date: 2025-07-23
This comprehensive book provides a thorough understanding of feedback control principles and their practical applications in diverse engineering domains. It empowers readers with the knowledge and skills necessary to design and implement effective feedback control systems. Covering a wide range of topics, from fundamental concepts to advanced techniques and real-world case studies, this book is an invaluable resource for engineers, researchers, and students alike. It offers a systematic and reader-friendly approach, balancing mathematical rigor with practical considerations. Key features of the book include: * A comprehensive treatment of fundamental feedback control principles, including stability analysis, frequency-domain analysis, and PID control. * In-depth coverage of advanced control techniques, such as state-space modeling, pole placement, model predictive control, and robust control. * Numerous real-world examples and case studies showcasing the applications of feedback control in various industries, including manufacturing, power generation, transportation, and biomedical engineering. * Practical guidance on implementing feedback control systems using state-of-the-art tools and technologies. * Emphasis on simulation techniques and the use of MATLAB/Simulink for designing and analyzing feedback control systems. This book is an essential resource for anyone seeking to master the art of feedback control. It provides a solid foundation in the theoretical principles and practical considerations necessary for the successful design and implementation of feedback control systems in a wide range of engineering applications. If you like this book, write a review!
Control Engineering
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.
MATLAB Control Systems Engineering
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.