Distributed Transfer Function Method

One-Dimensional Problems in Engineering

Bingen Yang, Kyoungrae Noh

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English

De Gruyter
04 October 2023

Numerical analysis; Mechanical engineering; Electronics engineering

Series: De Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences

The distributed transfer function method (DTFM) is an analytical method for modeling, analysis, and control of a class of distributed parameter systems that are governed by partial differential equations and that can be defi ned over multiple interconnected subregions. In this comprehensive reference, the authors show how the DTFM delivers highly accurate analytical solutions in both the frequency domain and the time domain while offering a versatile modeling technique for various problems in mechanical, civil, aerospace, electrical, chemical, biomechanical, and vehicle engineering.

By: Bingen Yang, Kyoungrae Noh
Imprint: De Gruyter
Country of Publication: Germany
Dimensions: Height: 240mm, Width: 170mm,
Weight: 1.039kg
ISBN: 9783110758542
ISBN 10: 3110758547
Series: De Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences
Pages: 549
Publication Date: 04 October 2023
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

Bingen Yang Bingen “Ben” Yang is Professor of Aerospace and Mechanical Engineering at the University of Southern California, where he has taught for more than 30 years. Being an active researcher, he has more than 250 publications in the areas of structures, dynamics, vibrations, controls, and mechanics, including three books. His current research interests include modeling, analysis and control of flexible structures and dynamic systems, electromechanical systems, and computational methods for problems in engineering. A fellow of the American Society of Mechanical Engineers, Dr. Yang received his Ph.D. in mechanical engineering from the University of California at Berkeley. 　　 Kyoungrae Noh Kyoungrae Noh is currently a chief engineer at the LG Production engineering Research Institute (LG PRI) in South Korea. He has worked over 10 years in industrial fields of dynamics, vibrations, acoustics and controls. His research interests include modeling, analysis and control of flexible structures and dynamic systems, and computational methods for problems in engineering. Recently, his research endeavors have extended to signal processing, data analytics, and PHM (Prognostics and Health Management) for production equipment/process. He is also a director of Korean Society for Prognostics and Health Management (KSPHM). Dr. Noh received his Ph.D. in mechanical engineering from the University of Southern California.