Modeling and Simulation of Dynamical Systems

by Payam Zarafshan

Overview

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.

Product Details

ISBN-13:	9780443241345
Publisher:	Elsevier Science
Publication date:	11/27/2024
Series:	Advances in Nonlinear Dynamical Systems and Robotics (ANDC)
Pages:	428
Product dimensions:	6.00(w) x 9.00(h) x (d)

About the Author

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.

Table of Contents

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

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From the Publisher

Explores the common methods used in the modelling and simulation of dynamic systems and presents preliminary information useful for further research.