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. - Explores, in detail, the different methods of modeling dynamic systems - Provides numerous examples and solved problems, which distinguishes this book from other reference titles in the field - Renders information on modeling and simulating software

Product Details

ISBN-13:	9780443241338
Publisher:	Elsevier Science & Technology Books
Publication date:	11/27/2024
Series:	Advances in Nonlinear Dynamical Systems and Robotics (ANDC)
Sold by:	Barnes & Noble
Format:	eBook
Pages:	550
File size:	66 MB
Note:	This product may take a few minutes to download.

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 concepts2. Analytical modelling methods3. Input-output modelling4. Modelling using bond graph5. Numerical modelling using fuzzy inference systems6. Verification methods and working with software

What People are Saying About This

From the Publisher

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