Continuous-system simulation is an increasingly important tool for optimizing the performance of real-world systems. The book presents an integrated treatment of continuous simulation with all the background and essential prerequisites in one setting. It features updated chapters and two new sections on Black Swan and the Stochastic Information Packet (SIP) and Stochastic Library Units with Relationships Preserved (SLURP) Standard. The new edition includes basic concepts, mathematical tools, and the common principles of various simulation models for different phenomena, as well as an abundance of case studies, real-world examples, homework problems, and equations to develop a practical understanding of concepts.
Rezensionen / Stimmen
"The authors provide a comprehensive set of MATLAB and Simulink-based mechanical systems examples. Derivations of concepts are followed by concrete examples using various numerical methods. Detailed solutions to the Exercises at the end of each chapter provide the instructor with a fairly wide array of selections for homework assignments. This is a useful textbook on numerical methods using MATLAB and Simulink for advanced undergraduates, as well as graduate students."
- George Shoane, Rutgers University, New Jersey, USA
"An excellent combination of mathematical rigor combined with in-depth numerical analysis, all spun together with excellent case studies."
- Paul McKenna, University of Glasgow, UK
"This updated edition of the book allows the reader/student/engineer to learn the fundamental concepts in dynamic systems modeling and simulation in a step-by-step manner. The authors have meticulously used MATLAB and Simulink in simulating a wide variety of dynamic systems. This book can be used as a self-study book and hence a definite must have for anyone-from a novice to an experienced engineer-interested in understanding and learning modeling and simulation using MATLAB/Simulink."
- Rajesh Joseph Abraham, Indian Institute of Space Science & Technology, India
"This book is both a great textbook and a great reference on the subject of simulation of dynamics systems. It provides an applied and practical presentation of the MATLAB and Simulink tools and uses them to implement and apply the concepts presented in the book. The presentation of concepts is methodical and clear, with lots of industry relevant examples. The material covered provides a great foundation for developing and understanding simulations of dynamic systems. I recommend this book to both novices and experts, as it covers basic to advanced simulation topics in a clear and accessible way. This book has been a great reference to have in the field to build from and apply its concept to industry relevant simulation problems. The third edition updated the Simulink diagrams, which improve readability and consistency with what the Simulink user may see on his or her screen.
- Danilo Viazzo, Engineering Consultant, USA
"The book is at its 3rd edition, meaning that it has survived the field tests from academia and industry. The book starts with the need for mathematical modeling of real-life systems, and moves on to the corresponding formulation of continuous-time systems and then their discrete-time approximation. The theory of linear system analysis then follows to lay the theoretical toolkit for system analysis and simulation. Next, the MATLAB and Simulink knowledge kick in to furnish the practical toolkit for an undergraduate/postgraduate/practitioner to start visualizing the dynamics of the systems on a computer console. Such a bottom-up approach to system modeling and simulation provides a solid and manageable path to acquire necessary and important skills for the design and engineering of various electrical and mechanical systems. Overall, the book serves as a good introductory material to system analysis, modeling, and simulation, with a good balance between theory and practice."
- Ngai Wong, The University of Hong Kong
Auflage
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für höhere Schule und Studium
Produkt-Hinweis
Fadenheftung
Gewebe-Einband
Illustrationen
794 s/w Abbildungen
794 Illustrations, black and white
Maße
Höhe: 263 mm
Breite: 187 mm
Dicke: 58 mm
Gewicht
ISBN-13
978-1-4987-8777-2 (9781498787772)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Dr. Harold Klee received his Ph.D. in systems science from Polytechnic Institute of Brooklyn in 1972, his MS in systems engineering from Case Institute of Technology in 1968, and his BSME from The Cooper Union in 1965. Dr. Klee was a faculty member in the College of Engineering at the University of Central Florida (UCF) from 1972, until his retirement from UCF in 2009. During his tenure there, he was a five-time recipient of the college's Outstanding Teacher Award. He has been instrumental in the development of simulation courses in both the undergraduate and graduate curricula. A charter member of the Core Faculty of the Institute of Simulation and Training, which is responsible for developing the interdisciplinary MS and Ph.D. programs in simulation at UCF, Dr. Klee has served as the director of the UCF Driving Simulation Lab for more than 15 years, and he has been Editor-In- Chief of the Modeling and Simulation magazine for three years.
Dr. Randal Allen has over 25 years of industry experience and is currently the Chief Scientist for Lone Star Analysis, where he is responsible for creating and applying new technologies to maintain competitive advantage in the marketplace. His experience includes 6DOF aerodynamic simulation, modeling, analysis, design, integration, and test of navigation, guidance, and control systems. He is an Associate Fellow of the American Institute of Aeronautics and Astronautics (AIAA). He is certified as a modeling and simulation professional (CMSP) by the National Training and Simulation Association (NTSA). Dr. Allen's academic background includes a Ph.D. in Mechanical Engineering from the University of Central Florida, an Engineer's Degree in Aeronautical and Astronautical Engineering from Stanford University, an M.S. in Applied Mathematics and a B.S. in Engineering Physics, both from the University of Illinois (Urbana-Champaign). He also serves as an Adjunct Professor in the Mechanical, Materials, and Aerospace Engineering (MMAE) department at the University of Central Florida (UCF) in Orlando, Florida.
Mathematical Modeling. Continuous-Time Systems. Elementary Numerical Integration. Linear Systems Analysis. Simulink (R). Intermediate Numerical Integration. Simulation Tools. Advanced Numerical Integration.
