Without mathematics no science would survive. This especially applies to the engineering sciences which highly depend on the applications of mathematics and mathematical tools such as optimization techniques, finite element methods, differential equations, fluid dynamics, mathematical modelling, and simulation. Neither optimization in engineering, nor the performance of safety-critical system and system security; nor high assurance software architecture and design would be possible without the development of mathematical applications.
De Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences (AMEIS) focusses on the latest applications of engineering and information technology that are possible only with the use of mathematical methods. By identifying the gaps in knowledge of engineering applications the AMEIS series fosters the international interchange between the sciences and keeps the reader informed about the latest developments.
The distributed transfer function method (DTFM) is an analytical method for modeling, analysis, and control for a class of distributed parameter systems that are governed by partial differential equations. In this comprehensive reference, the authors show how DFTM delivers highly accurate analytical solutions while offering a new modeling method for various problems in mechanical, civil, aerospace, biomechanical, and vehicle engineering.
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.
