
Modeling and Simulation of Dynamical Systems
Payam Zarafshan(Author)
Academic Press
Published on 27. November 2024
Book
Paperback/Softback
428 pages
978-0-443-24134-5 (ISBN)
Description
Modeling and Simulation of Dynamical Systems explores the common methods used in the modeling and simulation of dynamic systems, providing foundational information that is essential for further research. A key feature of this title is its systematic separation and classification of various modeling methods, enabling readers to select their preferred approach after studying the initial chapter and becoming familiar with fundamental definitions. Another unique feature is the use of numerous examples and solved problems throughout the book to support a basic understanding of a system's behavior.
This title is highly recommended for researchers, professionals, and students in mechanical, biosystems, and mechatronic engineering.
This title is highly recommended for researchers, professionals, and students in mechanical, biosystems, and mechatronic engineering.
More details
Series
Language
English
Place of publication
San Diego
United States
Publishing group
Elsevier Science Publishing Co Inc
Target group
Professional and scholarly
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 228 mm
Width: 156 mm
Thickness: 21 mm
Weight
680 gr
ISBN-13
978-0-443-24134-5 (9780443241345)
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 Classification
Other editions
Additional editions

Payam Zarafshan
Modeling and Simulation of Dynamical Systems
E-Book
11/2024
Elsevier
€237.99
Available for download
Person
Payam Zarafshan is an associate professor and head of the AGRINS Lab, in the Department of Mechatronics Engineering, School of Intelligent Systems Engineering, College of Interdisciplinary Science and Technology, University of Tehran, Iran. Additionally, he is a lecturer in the School of Engineering, Design and Built Environment at Western Sydney University, Sydney, Australia. He received his PhD in Mechanical Engineering from K. N. Toosi University of Technology, Iran. His research has mainly focused on aerial and space systems and agriculture technologies by applying automation, robotics, and mechatronics. He is currently the founder and supervisor of the AGRicultural INtelligent System Laboratory (AGRINS Lab) based at the University of Tehran. He has supervised more than 28 MSc students and 3 PhD students in different mechatronic fields, including space robotic systems, irrigation systems, pruning cutters, water channel dredgers, aerial pollinators, cable robots, and greenhouse technologies.
Content
1. Preliminary concepts
2. Analytical modelling methods
3. Input-output modelling
4. Modelling using bond graph
5. Numerical modelling using fuzzy inference systems
6. Verification methods and working with software
2. Analytical modelling methods
3. Input-output modelling
4. Modelling using bond graph
5. Numerical modelling using fuzzy inference systems
6. Verification methods and working with software