Emerging Methodologies and Applications in Modelling, Identification and Control
Aim & scope
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.
Audience
The Series could be used as reference manuals for advanced courses in automatic control systemsย in university classrooms and/or industrial short training courses, which are suited for students, researchers, and engineers working on the topics of electrical engineering,ย biomedical engineering,ย process engineering, computer science, mechanical engineering, automotive and aerospace engineering and the otherย manufacturedย systems.
Publish a book with Elsevier
Series Editor
QMZ
Editorial Advisory Board
Professor Sarah Spurgeon, Department of Electronic and Electrical Engineering at University College London, United Kingdom
Professor Erwei Bai, Department of Electrical and Computer Engineering at University of Iowa, United States of America
Regional Editors
Africa:ย Professor Olfa Boubaker, National Institute of Applied Sciences and Technology at University of Carthage, Tunisia
America: Professorย Luisย Antonio Aguirre, Departamentoย de Engenharia Eletrรดnica at Universidade Federal de Minas Gerais (UFMG), Brazil
Asia:ย Professor Shaoyuan Li,ย Department of Automation at Shanghai Jiao Tong University, China
Europe:ย Professor Hamid Reza Karimi, Politecnico di Milano at Department of Mechanical Engineering, Italy
Middle East:ย Professor Ahmad Taher Azar, College of Computer and Information Sciences at Prince Sultan University, Saudi Arabia and Faculty of Computers and Artificial Intelligence at Benha University, Egypt
Editorial Board
Dr. Ramonย Costa-Castellรณ,ย Departament dโEnginyeria de Sistemes at Universitat Politรจcnica de Catalunya, Spain
Professor Thomas Gustafsson,ย Department of Computer Science, Electrical and Space Engineering at Luleรฅ University of Technology, Sweden
Dr. Jawhar Ghommam,ย Department of Physicsย and Instrumentation at University of Carthage, Tunisia
Dr. Yue Ma,ย School of Mechanical and Vehicle Engineering at Beijing Institute of Technology, China
Professor Jing Na,ย Faculty of Mechanical & Electrical Engineering at Kunming University of Science & Technology, China
Professor Feng Qiao,ย Faculty of Information and Control Engineering at Shenyang Jian Zhu University, China
Dr. Iman Sayyaddelshad,ย Department of Engineering Design and Mathematics at University of the West of England, United Kingdom, and Autonomous Driving / ADAS Engineer AVL MTC, Sweden
Professor Vaidyanathan Sundarapandian,ย R&D Centre at Vel Tech University, India
Professor Weicun Zhang,ย School of Automation and Electrical Engineering at University of Science and Technology Beijing, China
Dr. Bei Sun,ย Central South University, China
Professor Dongya Zhao,ย Department of Process Equipment and Control Engineering, China University of Petroleum, China
Professor Shubo Wang, School of Automation at Qingdao University, China