Distributed Transfer Function Method

One-Dimensional Problems in Engineering
1. Auflage 2023
ISBN: 978-3-11-075854-2
Verlag: De Gruyter

Buch, Englisch, 528 Seiten, Format (B × H): 170 mm x 240 mm, Gewicht: 1039 g

Reihe: ISSN

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.

Zielgruppe

Academic and industrial researchers, professionals and graduate s

Autoren/Hrsg.

Yang, Bingen

Noh, Kyoungrae

Fachgebiete

• Mathematik | Informatik Mathematik Mathematische Analysis Differentialrechnungen und -gleichungen
• Technische Wissenschaften Technik Allgemein Mathematik für Ingenieure
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle

Über Autor(innen)

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.