Market_Desc: Primary market: EC/EE StudentsSecondary market: BE 2nd /3rd/ 4th Year (EC/EE/CSE) students, Polytechnic students, MCA Students & Research Scholars Special Features: · Based on latest version of MATLABÒ (version MATLAB R2010b).· Enables the students to understand the theoretical concepts through modelling and simulation with ease of visualization.· Helps the faculty to explain the theoretical concepts through simulation.· Explores MATLABÒ applications in Electrical and Electronics Engineering curriculum, especially in: Ø Basic electrical and network applications.Ø Control systems - explores the use of Control System Toolbox" designed specifically for control engineering.Ø Power electronics - uses SimPowerSystems" software for physical modeling and simulation of power electronics, power systems and integration of their control with Simulink.Ø Fuzzy logic - uses Fuzzy Logic Toolbox" to create and edit fuzzy inference systems within the framework of MATLABÒ. · Introduces virtual experiments, and examples supported with necessary theory, through computer simulation: Ø To complement the laboratory experience.Ø To help in visualizing and monitoring imaginary parameters not possible to observe physically.Ø To understand the system dynamics without the use of sophisticated measuring tools.Ø As a replacement for expensive machine tools and sophisticated measuring equipments.· Explains system modeling and simulation using script file, Simulink and SimPowerSystems approach.· Includes around 400 figures and screenshots.· Has a list of useful commands at the end of each chapter for quick review.· Excellent pedagogy including:Ø 110 Solved examplesØ 20 ExperimentsØ 158 exercise problemsØ 489 figures· Companion CD includes: Ø Around 150 programs and models to facilitate quick learning. About The Book: MATLAB is widely used in universities and colleges for graduate studies and research. Recently, MATLAB is being introduced to undergraduate students. Most of the books available on MATLAB are focused mainly on its use as programming language. The objective of this book is to explore the role and possibility of MATLAB, Simulink and its toolboxes in electrical and electronics engineering curriculum to promote modeling, simulation and virtual experimentation with emphasis on analysis, design and simulation study. The use of MATLAB needs that the user should know the concepts, fundamental and theoretical framework required to obtain the solution. Therefore, the author prefers to suggest the use of MATLAB as an equation solver tool from students learning and understanding point of view.

The subject matter of this book is to present the procedural steps required for modeling and simulating the basic dynamic system problems in SIMULINK (a supplementary part of MATLAB) which follow some definitive model. However, the key features of the text can be cited as follows: þ The book is on the whole a guiding tool for the undergraduate and graduate students of science and engineering who want to work out or simulate the classroom modeling problems using SIMULINK þ To check the understanding of SIMULINK output and deliberate the reliability on SIMULINK, analytical solutions of the model outputs are inserted in most chapters þ Since the text presents modeling ranging from elementary to advanced level, audience spectrum of the text includes engineers, teachers, researchers, and scientists who are beginners in using SIMULINK þ Know-how aspects of SIMULINK are covered in a made-easy way so that the average reader becomes benefited even if starting from the scratch þ Tabular block links at the end of each chapter required for a particular class of problems help the reader bring them in the model file and simulate quickly þ Over 300 classroom-modeling examples are simulated with clarity and systematic steps þ Appropriate for individual or classroom exercise There are ten chapters in the book bearing the following titles: Introduction to SIMULINK Modeling Mathematical Functions and Waves Modeling Ordinary Differential Equations Modeling Difference Equations Modeling Common Problems of Control Systems Modeling Some Signal Processing Problems Modeling Common Matrix Algebra Problems Modeling Common Statistics and Conversion Problems Fourier Analysis Problems Miscellaneous Modeling and Some Programming Issues

Mechatronic Systems consist of components and/or sub-systems which are from different engineering domains. For example, a solenoid valve has three domains that work in a synergistic fashion: electrical, magnetic, and mechanical (translation). Over the last few decades, engineering systems have become more and more mechatronic. Automobiles are transforming from being gasoline-powered mechanical devices to electric, hybrid electric and even autonomous. This kind of evolution has been possible through the synergistic integration of technology that is derived from different disciplines. Understanding and designing mechatronic systems needs to be a vital component of today's engineering education. Typical engineering programs, however, mostly continue to train students in academic silos (otherwise known as majors) such as mechanical, electrical, or computer engineering. Some universities have started offering one or more courses on this subject and a few have even started full programs around the theme of Mechatronics. Modeling the behavior of Mechatronic systems is an important step for analysis, synthesis, and optimal design of such systems. One key training necessary for developing this expertise is to have comfort and understanding of the basic physics of different domains. A second need is a suitable software tool that implements these laws with appropriate flexibility and is easy to learn. This short text addresses the two needs: it is written for an audience who will likely have good knowledge and comfort in one of the several domains that we will consider, but not necessarily all; the book will also serve as a guide for the students to learn how to develop mechatronic system models with Simscape (a MATLAB tool box). The book uses many examples from different engineering domains to demonstrate how to develop mechatronic system models and what type of information can be obtained from the analyses.

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.

Introduction to Modeling and Simulation with MATLAB and Python is intended for students and professionals in science, social science, and engineering that wish to learn the principles of computer modeling, as well as basic programming skills. The book content focuses on meeting a set of basic modeling and simulation competencies that were developed as part of several National Science Foundation grants. Even though computer science students are much more expert programmers, they are not often given the opportunity to see how those skills are being applied to solve complex science and engineering problems and may also not be aware of the libraries used by scientists to create those models. The book interleaves chapters on modeling concepts and related exercises with programming concepts and exercises. The authors start with an introduction to modeling and its importance to current practices in the sciences and engineering. They introduce each of the programming environments and the syntax used to represent variables and compute mathematical equations and functions. As students gain more programming expertise, the authors return to modeling concepts, providing starting code for a variety of exercises where students add additional code to solve the problem and provide an analysis of the outcomes. In this way, the book builds both modeling and programming expertise with a "just-in-time" approach so that by the end of the book, students can take on relatively simple modeling example on their own. Each chapter is supplemented with references to additional reading, tutorials, and exercises that guide students to additional help and allows them to practice both their programming and analytical modeling skills. In addition, each of the programming related chapters is divided into two parts – one for MATLAB and one for Python. In these chapters, the authors also refer to additional online tutorials that students can use if they are having difficulty with any of the topics. The book culminates with a set of final project exercise suggestions that incorporate both the modeling and programming skills provided in the rest of the volume. Those projects could be undertaken by individuals or small groups of students. The companion website at http://www.intromodeling.com provides updates to instructions when there are substantial changes in software versions, as well as electronic copies of exercises and the related code. The website also offers a space where people can suggest additional projects they are willing to share as well as comments on the existing projects and exercises throughout the book. Solutions and lecture notes will also be available for qualifying instructors.

Modeling is an essential part of simulation and implementation of control and observation techniques; therefore the model adopted should be interpreted as accurately as possible such that it captures all the phenomena that the designer seek for; which are very important to predict the transient and steady-state physical systems. In this book modeling of each machine is introduced in a simple way as well as their simulation using Matlab, Simulink that gives clear insight on how to use Matlab for modeling; then a vector field control is introduced in details with their simulation using Matlab/smulink as well.

System Simulation Techniques with MATLAB and Simulink comprehensively explains how to use MATLAB and Simulink to perform dynamic systems simulation tasks for engineering and non-engineering applications. This book begins with covering the fundamentals of MATLAB programming and applications, and the solutions to different mathematical problems in simulation. The fundamentals of Simulink modelling and simulation are then presented, followed by coverage of intermediate level modelling skills and more advanced techniques in Simulink modelling and applications. Finally the modelling and simulation of engineering and non-engineering systems are presented. The areas covered include electrical, electronic systems, mechanical systems, pharmacokinetic systems, video and image processing systems and discrete event systems. Hardware-in-the-loop simulation and real-time application are also discussed. Key features: Progressive building of simulation skills using Simulink, from basics through to advanced levels, with illustrations and examples Wide coverage of simulation topics of applications from engineering to non-engineering systems Dedicated chapter on hardware-in-the-loop simulation and real time control End of chapter exercises A companion website hosting a solution manual and powerpoint slides System Simulation Techniques with MATLAB and Simulink is a suitable textbook for senior undergraduate/postgraduate courses covering modelling and simulation, and is also an ideal reference for researchers and practitioners in industry.

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.