Modeling, Identification, and Control for Cyber- Physical Systems Towards Industry 4.0 (Emerging Methodologies and Applications in Modelling, Identification and Control)
Language: English
Published by Academic Press, 2024
- Softcover
- New

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- Title
- Modeling, Identification, and Control for Cyber- Physical Systems Towards Industry 4.0 (Emerging Methodologies and Applications in Modelling, Identification and Control)
- Author
- Mercorelli, Paolo
- Publisher
- Academic Press
- Publication year
- 2024
- Condition
- New
- Binding
- paperback
- Language
- English
- ISBN 10
- 0323952070
- ISBN 13
- 9780323952071
Modeling, Identification, and Control for Cyber-Physical Systems Towards Industry 4.0 studies and analyzes the role of algorithms in identifying and controlling such a system towards Industry 4.0, which is the digital transformation of manufacturing and related industries and value creation processes. This book focuses on the conception and implementation of intelligent algorithms. It will help readers who work on sensors, virtual sensors, actuators and virtual actuators embedded systems, network infrastructures, servers with computing and storage capacity, autonomous computing software, real-time data processing, and database graphical user interfaces wireless networking technologies.
Cyber-Physical Systems are network components that coordinate physical actions with each other. These autonomous systems perceive their surroundings using virtual sensors and actively influence them via virtual actuators. Adaptable and continuously evolving, these systems free up skilled workers to perform complex tasks, avoiding productivity loss and re-work.
- Provides the new and cutting-edge research and development and a series of guidance procedures for potential applications from academic research to industrial R&D
- Focuses on the conception and implementation of intelligent algorithms
- Covers a wide spectrum of topics, including sensors, virtual sensors, actuators and virtual actuators embedded systems, network infrastructures, servers with computing and storage capacity, autonomous computing software, real-time data processing, and database graphical user interfaces wireless networking technologies
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About the Author
Weicun Zhang is an associate professor at the School of Automation and Electrical Engineering, University of Science and Technology, in Beijing. He obtained his MSc degree in Automatic Control (1989) from the Beijing Institute of Technology and the PhD in Control Theory and Applications (1993) from Tsinghua University, P. R. China. From 1997 to 1998, he was a visiting research fellow in the Industrial and Operations Engineering Department, University of Michigan at Ann Arbor, and from 2006 to 2007 was a visiting professor in the Department of Electrical and Computer Engineering, Seoul National University, South Korea. His research interests include self-tuning adaptive control, multiple model adaptive control, and estimation for both linear and nonlinear dynamic systems. As representative research work, he established the Virtual Equivalent System (VES) theory for unified analysis of self-tuning control systems and other model based complex control systems. Prof. Zhang is the Editor-In-Chief for International Journal of Cybernetics and Cyber-Physical Systems.
Hamidreza Nemati is a lecturer in avionics and control at the Engineering Design and Mathematics Department of the University of the West of England (UWE), Bristol, in the UK. His work focuses on autonomous navigation and intelligent control of cyber-physical systems in harsh environments. He previously served as Research Associate at Lancaster University, Lancaster, UK, working on robotic mobility and navigation for decommissioning and demolishing processes in nuclear facilities funded by the Engineering and Physical Sciences Research Council (EPSRC) via National Centre for Nuclear Robotics (NCNR). Hamidreza is a founder of ‘Vickers Robotics & AI’ and is trying to display great curiosity and attempts to fit his diverse experience into a clear understanding of the world.
YuMing Zhang is a Full Professor at the University of Kentucky, Lexington, Kentucky, in the USA. He received his BS and MS degrees in control major from Harbin Institute of Technology (HIT), China where he finished his PhD degree in welding major in 1990. He has over 200 Journal Papers and 12 US Patents, with his expertise including advanced sensing, control, learning/modelling, and intelligent robotic systems with application to real-time monitoring and control of innovative welding processes, human-robot collaborative systems, and intelligent welding robots. He is currently an Editor for the Journal of Manufacturing Processes. He is a Fellow of the American Welding Society (AWS), American Society of Mechanical Engineers (ASME), and Society of Manufacturing (SME).
"About the title" may belong to another edition of this title.
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