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Elsevier
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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.

Sample cover of Emerging Methodologies and Applications in Modelling, Identification and Control

Audience

The Series could 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, biomedical engineering, process engineering, computer science, mechanical engineering, automotive and aerospace engineering and the other manufactured systems.

Series Editor

Image of Quan Min Zhu

QMZ

Quan Min Zhu

Professor

University of the West of England

Leer más acerca de Quan Min Zhu

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: Professor Olfa Boubaker, National Institute of Applied Sciences and Technology at University of Carthage, Tunisia

America: Professor Luis Antonio Aguirre, Departamento de Engenharia Eletrônica at Universidade Federal de Minas Gerais (UFMG), Brazil

Asia: Professor Shaoyuan Li, Department of Automation at Shanghai Jiao Tong University, China

Europe: Professor Hamid Reza Karimi, Politecnico di Milano at Department of Mechanical Engineering, Italy

Middle East: 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. Ramon Costa-Castelló, Departament d’Enginyeria de Sistemes at Universitat Politècnica de Catalunya, Spain

Professor Thomas Gustafsson, Department of Computer Science, Electrical and Space Engineering at Luleå University of Technology, Sweden

Dr. Jawhar Ghommam, Department of Physics and Instrumentation at University of Carthage, Tunisia

Dr. Yue Ma, School of Mechanical and Vehicle Engineering at Beijing Institute of Technology, China

Professor Jing Na, Faculty of Mechanical & Electrical Engineering at Kunming University of Science & Technology, China

Professor Feng Qiao, Faculty of Information and Control Engineering at Shenyang Jian Zhu University, China

Dr. Iman Sayyaddelshad, 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, R&D Centre at Vel Tech University, India

Professor Weicun Zhang, School of Automation and Electrical Engineering at University of Science and Technology Beijing, China

Dr. Bei Sun, Central South University, China

Professor Dongya Zhao, Department of Process Equipment and Control Engineering, China University of Petroleum, China

Professor Shubo Wang, School of Automation at Qingdao University, China