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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…mehr

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Produktbeschreibung
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.

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  • Produktdetails
  • Verlag: John Wiley & Sons
  • Seitenzahl: 488
  • Erscheinungstermin: 16. September 2013
  • Englisch
  • ISBN-13: 9781118694374
  • Artikelnr.: 39601015
Autorenporträt
Dingyü Xue received his BSc, MSc and D Phil fromShenyang University of Technology, P. R. China in 1985,Northeastern University, PRC in 1988 and Sussex University, UK in1992, respectively. He has been in the faculty of Department ofAutomatic Control since 1993 and was promoted to a Professor in1997, Northeastern University. He is now the Fellow of SystemSimulation Society of China (SSSC), vice-director of EducationCommittee of SSSC, President of Liaoning Provincial SystemSimulation Association. From 1988, while he was doing research work towards a D Phil inSussex University, UK, he began utilizing MATLAB as the main tooland developed several commercial programs using MATLAB. Especially,since he took up the post in Northeastern University, heconcentrated on the reform of the course of computer aided controlsystems design and introduced MATLAB as the main tool in thecourse. The book "Computer aided control systems design usingMATLAB" by Tsinghua University Press in 1996 has been acknowledgedas the first thorough introduction to MATLAB in conjunction withcontrol systems in China. A series of books on the topic has beenpublished in Tsinghua University Press since and earned the authorgood reputation among the Chinese readers world wide. The book hasbeen cited by thousands of books and journal papers in China. He isthe author of two books in English, "Feedback Linear Control,analysis and design with MATLAB" (SIAM, 2007) and "Solving appliedmathematical problems with MATLAB" (CRC, 2008). The major research interest of Professor Xue covers the areas ofCACSD, systems simulation, system modelling and identification. Hehas published many papers and books and developed a freelydownloadable MATLAB based feedback control systems analysis anddesign tool CtrlLAB. YangQuan Chen joined the School of Engineering at theUniversity of California, Merced in Fall 2012 where he formallyteaches Mechatronics and Fractional Order Mechanics. He founded theMESA Lab (Mechatronics, Embedded Systems and Automation) withresearch emphasis and excellence in Unmanned Aerial Systems andUAV-based Personal Remote Sensing, Cyber-Physical Systems (CPS), Modeling and Control of Renewable Energy Systems, Mechatronics, and Applied Fractional Calculus (AFC). Heearned his Ph.D. in 1998 from Nanyang Technological University,Singapore. From 2000-2012, Dr. Chen was a faculty member at UtahState University (USU) where he directed the CSOIS (Center forSelf-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 arecipient of IFAC Best Journal Paper Award (Control EngineeringPractice) at 2011 IFAC World Congress. He is a member of theeditorial board for several leading journals such as FractionalCalculus and Applied Analysis, IFAC Control EngineeringPractice, IEEE Transactions on Control SystemsTechnology, IFAC Mechatronics, ASME Journal ofDynamic Systems, Measurement and Control, Journal ofIntelligent and Robotic Systems, and ISA Transactions.He is the Topic Editor-in-Chief of Field Robotics forInternational Journal of Advanced Robotic Systems and he isalso 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 UnmannedVehicles", (with H. Chao, Wiley-IEEE Press, 2012) and "SystemSimulation Techniques with MATLAB and Simulink" (with D. Xue,Wiley, 2013).
Inhaltsangabe
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 Algebra Problems 67 3.3 Solutions of Calculus Problems 85 3.4 Solutions of Ordinary Differential Equations 91 3.5 Nonlinear Equation Solutions and Optimization 110 3.6 Dynamic Programming and its Applications in Path Planning 120 3.7 Data Interpolation and Statistical Analysis 124 Exercises 136 References 142 4 Mathematical Modeling and Simulation with Simulink 145 4.1 Brief Description of the Simulink Block Library 146 4.2 Simulink Modeling 159 4.3 Model Manipulation and Simulation Analysis 164 4.4 Illustrative Examples of Simulink Modeling 172 4.5 Modeling, Simulation and Analysis of Linear Systems 180 4.6 Simulation of Continuous Nonlinear Stochastic Systems 184 Exercises 188 References 191 5 Commonly Used Blocks and Intermediate
level Modeling Skills 193 5.1 Commonly Used Blocks and Modeling Skills 193 5.2 Modeling and Simulation of Multivariable Linear Systems 202 5.3 Nonlinear Components with Lookup Table Blocks 209 5.4 Block Diagram Based Solutions of Differential Equations 217 5.5 Output Block Library 226 5.6 Three
dimensional Animation of Simulation Results 238 5.7 Subsystems and Block Masking Techniques 245 Exercises 260 References 264 6 Advanced Techniques in Simulink Modeling and Applications 265 6.1 Command
line Modeling in Simulink 265 6.2 System Simulation and Linearization 272 6.3 S
function Programming and Applications 280 6.4 Examples of Optimization in Simulation: Optimal Controller Design Applications 296 Exercises 303 References 306 7 Modeling and Simulation of Engineering Systems 307 7.1 Physical System Modeling with Simscape 308 7.2 Description of SimPowerSystems 318 7.3 Modeling and Simulation of Electronic Systems 322 7.4 Simulation of Motors and Electric Drive Systems 336 7.5 Modeling and Simulation of Mechanical Systems 346 Exercises 360 References 362 8 Modeling and Simulation of Non
Engineering Systems 363 8.1 Modeling and Simulation of Pharmacokinetics Systems 363 8.2 Video and Image Processing Systems 376 8.3 Finite State Machine Simulation and Stateflow Applications 390 8.4 Simulation of Discrete Event Systems with SimEvents 408 Exercises 416 References 417 9 Hardware
in
the
loop Simulation and Real
time Control 419 9.1 Simulink and Real
Time Workshop 419 9.2 Introduction to dSPACE and its Blocks 429 9.3 Introduction to Quanser and its Blocks 430 9.4 Hardware
in
the
loop Simulation and Real
time Control Examples 433 9.5 Low Cost Solutions with NIAT 439 9.6 HIL Solutions with Even Lower Costs 446 9.6.3 The MESABox 449 Exercises 450 References 451 Appendix: Functions and Models 453 Index 459