CHF93.00
Download est disponible immédiatement
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.
Auteur
Dingyü Xue received his BSc, MSc and D Phil from Shenyang University of Technology, P. R. China in 1985, Northeastern University, PRC in 1988 and Sussex University, UK in 1992, respectively. He has been in the faculty of Department of Automatic Control since 1993 and was promoted to a Professor in 1997, Northeastern University. He is now the Fellow of System Simulation Society of China (SSSC), vice-director of Education Committee of SSSC, President of Liaoning Provincial System Simulation Association.
From 1988, while he was doing research work towards a D Phil in Sussex University, UK, he began utilizing MATLAB as the main tool and developed several commercial programs using MATLAB. Especially, since he took up the post in Northeastern University, he concentrated on the reform of the course of computer aided control systems design and introduced MATLAB as the main tool in the course. The book "Computer aided control systems design using MATLAB" by Tsinghua University Press in 1996 has been acknowledged as the first thorough introduction to MATLAB in conjunction with control systems in China. A series of books on the topic has been published in Tsinghua University Press since and earned the author good reputation among the Chinese readers world wide. The book has been cited by thousands of books and journal papers in China. He is the author of two books in English, "Feedback Linear Control, analysis and design with MATLAB" (SIAM, 2007) and "Solving applied mathematical problems with MATLAB" (CRC, 2008).
The major research interest of Professor Xue covers the areas of CACSD, systems simulation, system modelling and identification. He has published many papers and books and developed a freely downloadable MATLAB based feedback control systems analysis and design tool CtrlLAB.
YangQuan Chen joined the School of Engineering at the University of California, Merced in Fall 2012 where he formally teaches Mechatronics and Fractional Order Mechanics. He founded the MESA Lab (Mechatronics, Embedded Systems and Automation) with research emphasis and excellence in Unmanned Aerial Systems and UAV-based Personal Remote Sensing, Cyber-Physical Systems (CPS), Modeling and Control of Renewable Energy Systems, Mechatronics, and Applied Fractional Calculus (AFC). He earned his Ph.D. in 1998 from Nanyang Technological University, Singapore. From 2000-2012, Dr. Chen was a faculty member at Utah State University (USU) where he directed the CSOIS (Center for Self-Organizing and Intelligent Systems) from 2004-2012. The most important award he received was the "Relationship Counselor" award from USU Student Branch of IEEE for "explaining human relationships with control theory." He is a recipient of IFAC Best Journal Paper Award (Control Engineering Practice) at 2011 IFAC World Congress. He is a member of the editorial board for several leading journals such as Fractional Calculus and Applied Analysis, IFAC Control Engineering Practice, IEEE Transactions on Control Systems Technology, IFAC Mechatronics, ASME Journal of Dynamic Systems, Measurement and Control, Journal of Intelligent and Robotic Systems, and ISA Transactions. He is the Topic Editor-in-Chief of Field Robotics for International Journal of Advanced Robotic Systems and he is also a founding editorial board member for Unmanned Systems (World Scientific). His most recent monographs are "Distributed-Order Dynamic Systems: Stability, Simulation, Applications and Perspectives" (with Z. Jiao and I. Podlubny, Springer, 2012), "Fractional Order Motion Controls" (with Y. Luo, Wiley, 2012), "Remote Sensing and Actuation Using Unmanned Vehicles", (with H. Chao, Wiley-IEEE Press, 2012) and "System Simulation Techniques with MATLAB and Simulink" (with D. Xue, Wiley, 2013).
Texte du rabat
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 by 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 and 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:
Contenu
Foreword xiii
Preface xv
1 Introduction to System Simulation Techniques and Applications 1
1.1 Overview of System Simulation Techniques 1
1.2 Development of Simulation Software 2
1.3 Introduction to MATLAB 5
1.4 Structure of the Book 7
Exercises 9
References 9
2 Fundamentals of MATLAB Programming 11
2.1 MATLAB Environment 11
2.2 Data Types in MATLAB 13
2.3 Matrix Computations in MATLAB 16
2.5 Programming and Tactics of MATLAB Functions 23
2.6 Two-dimensional Graphics in MATLAB 27
2.7 Three-dimensional Graphics 33
2.8 Graphical User Interface Design in MATLAB 36
2.9 Accelerating MATLAB Functions 52
Exercises 60
References 63
3 MATLAB Applications in Scientific Computations 65
3.1 Analytical and Numerical Solutions 66
3.2 Solutions to Linear …