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New Book Series: Emerging Methodologies and Applications in Modelling, Identification and Control
Series Editor: Professor Quan Min Zhu
The new series, Emerging Methodologies and Applications in Modelling, Identification and Control, will report and share state-of-the-art work in modelling, identification and control engineering for worldwide university classroom teaching, academic research, and industrial applications in a systematic and sustainable series of book publications.
The EMAMIC series will cover all aspects of modeling, identification and control of industrial application, which could include system identification, parameter estimation, dynamic simulation, optimization, adaptive control, optimal control, nonlinear control, and others emerging techniques.
Books in the EMAMIC series may be used as reference manuals for advanced courses in automatic control systems, in university classrooms and/or industrial short training courses which are suited for students, researchers, and engineers working on the topics of electrical engineering, process engineering, computer science, mechanical engineering, automotive and aerospace engineering, and other manmade systems.
Key Features of the Series:
- Volumes focus on original research and systematic reviews, in monograph-length contributions and edited handbooks.
- The series will provide opportunities for researchers to present an extended exposition of their work for wider and rapid dissemination.
- The series will share technology transfer and fill the gaps between theorists and engineers in all aspects of industrial modelling and control, actively bridging academic research and higher education.
For prospective authors interested in publishing in this series, please contact Series Editor Quan Zhu (email@example.com) or Acquisitions Editor Sonnini Yura (S.Yura@elsevier.com).
About the Series Editor
Quanmin Zhu is Professor in control systems at the Department of Engineering Design and Mathematics, University of the West of England, Bristol, UK. He obtained his MSc in Harbin Institute of Technology, China in 1983 and PhD in Faculty of Engineering, University of Warwick, UK in 1989. His main research interest is nonlinear system modelling, identification, and control. His other research interest is in investigating electrodynamics of acupuncture points and sensory stimulation effects in human body, modelling of human meridian systems, and building up electro-acupuncture instruments.
He has published over 200 papers on these topics, edited a number of books, and acted as a consultant to various industries. Currently Professor Zhu is acting as Member of Editorial Committee of Chinese Journal of Scientific Instrument, Editor (and Founder) of International Journal of Modelling, Identification and Control, Editor of International Journal of Computer Applications in Technology, and founder and president of series annual International Conference on Modelling, Identification and Control.
Engineering brings science and technology out of the lab and into the real world. Often without thinking about it, we engage every day with technology that is the product of careful, precise design and execution by engineers in electronics, optics, and communications; embedded systems; automotive, aerospace, and marine; mechanical; and many other disciplines. For decades, Elsevier has maintained and grown extensive collections in these and other cutting-edge areas, like biomechanics and nanotechnology, through our trusted imprints: Newnes, Academic Press, and Woodhead Publishing. In addition, our powerful online platforms like Knovel and Engineering Village help streamline research and development processes for users around the world.