Matlab And Simulink In Action

The Elements of MATLAB Style is a guide for both new and experienced MATLAB programmers. It provides a comprehensive collection of standards and guidelines for creating solid MATLAB code that will be easy to understand, enhance, and maintain. It is written for both individuals and those working in teams in which consistency is critical. This is the only book devoted to MATLAB style and best programming practices, focusing on how MATLAB code can be written in order to maximize its effectiveness. Just as Strunk and White's The Elements of Style provides rules for writing in the English language, this book provides conventions for formatting, naming, documentation, programming and testing. It includes many concise examples of correct and incorrect usage, as well as coverage of the latest language features. The author also provides recommendations on use of the integrated development environment features that help produce better, more consistent software.

The textbook is intended for teaching MATLAB language and its applications. The book is composed of three parts: MATLAB programming, scientific computing with MATLAB, and system simulation with Simulink. Since MATLAB is widely used in all fields of science and engineering, a good introduction to the language can not only help students learn how to use it to solve practical problems, but also provide them with the skills to use MATLAB independently in their later courses and research. The three parts of the book are well-balanced and tailored to the needs of engineering students, and the mathematical problems commonly encountered in engineering can be easily solved using MATLAB. This textbook is suitable for undergraduate and graduate students majoring in science and engineering.

This is the second volume in a trilogy on modern Signal Processing. The three books provide a concise exposition of signal processing topics, and a guide to support individual practical exploration based on MATLAB programs. This second book focuses on recent developments in response to the demands of new digital technologies. It is divided into two parts: the first part includes four chapters on the decomposition and recovery of signals, with special emphasis on images. In turn, the second part includes three chapters and addresses important data-based actions, such as adaptive filtering, experimental modeling, and classification.

Employ essential and hands-on tools and functions of the MATLAB and Simulink packages, which are explained and demonstrated via interactive examples and case studies. This book contains dozens of simulation models and solved problems via m-files/scripts and Simulink models which help you to learn programming and modeling essentials. You’ll become efficient with many of the built-in tools and functions of MATLAB/Simulink while solving engineering and scientific computing problems. Beginning MATLAB and Simulink explains various practical issues of programming and modelling in parallel by comparing MATLAB and Simulink. After reading and using this book, you'll be proficient at using MATLAB and applying the source code from the book's examples as templates for your own projects in data science or engineering. What You Will LearnGet started using MATLAB and SimulinkCarry out data visualization with MATLABGain the programming and modeling essentials of MATLABBuild a GUI with MATLABWork with integration and numerical root finding methodsApply MATLAB to differential equations-based models and simulationsUse MATLAB for data science projects Who This Book Is For Engineers, programmers, data scientists, and students majoring in engineering and scientific computing.

Presents numerical methods for reservoir simulation, with efficient implementation and examples using widely-used online open-source code, for researchers, professionals and advanced students. This title is also available as Open Access on Cambridge Core.

Model-based Development: Beginner’s Approach KEY FEATURES ● Includes numerous practical examples and troubleshooting hints on using Simulink ● An extensive development guide on MATLAB, Simulink, and Stateflow principles. ● Effective instructions for passing MATLAB modeling interviews and examinations DESCRIPTION MATLAB and Simulink In-Depth' is a thorough introduction to MATLAB, Simulink, and Stateflow principles. It establishes a solid foundation for methodologies commonly employed in model-based development. The book demonstrates how readers can perform algorithm construction and assessment faster than ever. The book covers most contemporary issues with real-world examples. The book begins with MATLAB experience by configuring the system environment. Then, it will help readers to get acquainted with MATLAB's history and key features. The book helps in getting familiar with the desktop user interface and fundamental instructions of MATLAB, as well as data visualization. It helps to investigate Simulink's core features, configuration settings, and libraries. It explains the step-by-step process to design and simulate a basic Simulink model. It also helps to investigate advanced modeling techniques, including custom libraries, model referencing, and subsystems. In addition, the book explains the construction of test environments and model simulation. It explores Stateflow topics such as flow graphs, hierarchical models, conditions, actions, and transitions. WHAT YOU WILL LEARN ● Work with MATLAB syntax, commands, functions, and libraries and with the user interface and visualization. ● Create fundamental models, configure model parameters, and utilize libraries. ● Perform model referencing, simulation, visualization and debugging with Simulink. ● Familiarize yourself with Stateflow, flow graph, Statechart, truth table, including states, actions, transitions and junctions. ● Implement the hierarchical state model, perform event-based execution, parsing, and debugging operations. WHO THIS BOOK IS FOR This book has been prepared keeping in mind the needs of students, teachers, researchers, professionals as well as technology enthusiasts. This book has been written primarily for beginners to help them realize the essential principles and capabilities of MATLAB, Simulink, and Stateflow. After reading this book, the reader will have a solid foundation of Model-based design and Simulation. Having basic programming skills will make the learning process more efficient and fun. TABLE OF CONTENTS Section I: MATLAB 1. Introduction to MATLAB 2. MATLAB Desktop Interface 3. MATLAB Basics 4. Programming basics, Control Flow and Visualization Section II: Simulink 5. Introduction to Simulink 6. Simulink Editor with Environment 7. Library Browser Overview 8. Configuration Parameter Settings 9. Advanced Modelling Techniques- I 10. Advanced Modelling Techniques- II Section III: Stateflow 11. Getting started with Stateflow 12. Flow Graph 13. Statechart and Hierarchical State Model 14. Event-Based Execution 15. Stateflow Parsing and Debugging

Model-based Development: Beginner's Approach KEY FEATURES ● Includes numerous practical examples and troubleshooting hints on using Simulink ● An extensive development guide on MATLAB, Simulink, and Stateflow principles. ● Effective instructions for passing MATLAB modeling interviews and examinations DESCRIPTION MATLAB and Simulink In-Depth' is a thorough introduction to MATLAB, Simulink, and Stateflow principles. It establishes a solid foundation for methodologies commonly employed in model-based development. The book demonstrates how readers can perform algorithm construction and assessment faster than ever. The book covers most contemporary issues with real-world examples. The book begins with MATLAB experience by configuring the system environment. Then, it will help readers to get acquainted with MATLAB's history and key features. The book helps in getting familiar with the desktop user interface and fundamental instructions of MATLAB, as well as data visualization. It helps to investigate Simulink's core features, configuration settings, and libraries. It explains the step-by-step process to design and simulate a basic Simulink model. It also helps to investigate advanced modeling techniques, including custom libraries, model referencing, and subsystems. In addition, the book explains the construction of test environments and model simulation. It explores Stateflow topics such as flow graphs, hierarchical models, conditions, actions, and transitions. WHAT YOU WILL LEARN ● Work with MATLAB syntax, commands, functions, and libraries and with the user interface and visualization. ● Create fundamental models, configure model parameters, and utilize libraries. ● Perform model referencing, simulation, visualization and debugging with Simulink. ● Familiarize yourself with Stateflow, flow graph, Statechart, truth table, including states, actions, transitions and junctions. ● Implement the hierarchical state model, perform event-based execution, parsing, and debugging operations. WHO THIS BOOK IS FOR This book has been prepared keeping in mind the needs of students, teachers, researchers, professionals as well as technology enthusiasts. This book has been written primarily for beginners to help them realize the essential principles and capabilities of MATLAB, Simulink, and Stateflow. After reading this book, the reader will have a solid foundation of Model-based design and Simulation. Having basic programming skills will make the learning process more efficient and fun.

Employ the essential and hands-on tools and functions of MATLAB's ordinary differential equation (ODE) and partial differential equation (PDE) packages, which are explained and demonstrated via interactive examples and case studies. This book contains dozens of simulations and solved problems via m-files/scripts and Simulink models which help you to learn programming and modeling of more difficult, complex problems that involve the use of ODEs and PDEs. You’ll become efficient with many of the built-in tools and functions of MATLAB/Simulink while solving more complex engineering and scientific computing problems that require and use differential equations. Practical MATLAB Modeling with Simulink explains various practical issues of programming and modelling. After reading and using this book, you'll be proficient at using MATLAB and applying the source code from the book's examples as templates for your own projects in data science or engineering. What You Will LearnModel complex problems using MATLAB and SimulinkGain the programming and modeling essentials of MATLAB using ODEs and PDEsUse numerical methods to solve 1st and 2nd order ODEsSolve stiff, higher order, coupled, and implicit ODEsEmploy numerical methods to solve 1st and 2nd order linear PDEsSolve stiff, higher order, coupled, and implicit PDEsWho This Book Is For Engineers, programmers, data scientists, and students majoring in engineering, applied/industrial math, data science, and scientific computing. This book continues where Apress' Beginning MATLAB and Simulink leaves off.

Not only do modeling and simulation help provide a better understanding of how real-world systems function, they also enable us to predict system behavior before a system is actually built and analyze systems accurately under varying operating conditions. Modeling and Simulation of Systems Using MATLAB® and Simulink® provides comprehensive, state-of-the-art coverage of all the important aspects of modeling and simulating both physical and conceptual systems. Various real-life examples show how simulation plays a key role in understanding real-world systems. The author also explains how to effectively use MATLAB and Simulink software to successfully apply the modeling and simulation techniques presented. After introducing the underlying philosophy of systems, the book offers step-by-step procedures for modeling different types of systems using modeling techniques, such as the graph-theoretic approach, interpretive structural modeling, and system dynamics modeling. It then explores how simulation evolved from pre-computer days into the current science of today. The text also presents modern soft computing techniques, including artificial neural networks, fuzzy systems, and genetic algorithms, for modeling and simulating complex and nonlinear systems. The final chapter addresses discrete systems modeling. Preparing both undergraduate and graduate students for advanced modeling and simulation courses, this text helps them carry out effective simulation studies. In addition, graduate students should be able to comprehend and conduct simulation research after completing this book.

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.