Digital-Twin-Enabled Smart Control Engineering - Jairo Viola, Yangquan Chen

Digital-Twin-Enabled Smart Control Engineering

A Framework and Case Studies
Buch | Hardcover
XII, 111 Seiten
2023 | 2023
Springer International Publishing (Verlag)
978-3-031-22139-2 (ISBN)
53,49 inkl. MwSt
Book has an associated author-maintained website at https://www.theedgeai.com/dtandscebook

This book presents a novel design framework for the development of Digital Twin (DT) models for process- and motion-control applications. It is based on system-data acquisition using cutting-edge computing technologies, modelling of physical-system behavior through detailed simultaneous simulation of different aspects of the system, and optimal dynamic behavior-matching of the process. The design framework is enhanced with real-time data analytics to improve the performance of the DT's behavior-matching with the real system or physical twin.

The methods of creating a DT detailed in Digital-Twin-Enabled Smart Control Engineering make possible the study of a system for real-time controller tuning and fault detection. They also facilitate life-cycle analysis for multiple critical and dangerous conditions that cannot be explored in the corresponding real system or physical twin. The authors show how a DT can be exploited to enable self-optimizing capabilitiesin feedback control systems.

The DT framework and the control-performance assessment, fault diagnosis and prognosis, remaining-useful-life analysis, and self-optimizing control abilities it allows are validated with both process- and motion-control systems and their DTs. Supporting MATLAB-based material for a case study and an expanded introduction to the basic elements of DTs can be accessed on an associated website.

This book helps university researchers from many areas of engineering to develop new tools for control design and reliability and life-cycle assessment and helps practicing engineers working with robotic, manufacturing and processing, and mechatronic systems to maintain and develop the mechanical tools they use.


Mr. Jairo Viola is an electronic engineer with a master’s degree in electronics from Pontifical Bolivarian University, Bucaramanga, Colombia. Currently, he is pursuing his Ph.D. on Mechanical Engineering and works at the Mechatronics, Embedded Systems, and Automation Lab (MESA Lab) at University of California, Merced. For five years, he worked as a professor in the faculties of Electronic Engineering and Computer Sciences at the Pontifical Bolivarian University, Bucaramanga, Colombia Teaching Programming, Computer Architecture, and Operating Systems courses. His research topics are Process Control, Robotics, Artificial Intelligence, Digital Twin, Machine Learning and Big Data, Edge Computing and Failure Detection for Industrial Processes, and Applied Fractional Order Calculus. He is a member of IEEE and ASME.   Dr. YangQuan Chen is a full professor at the School of Engineering, University of California, Merced. He was a faculty of Electrical and Computer Engineering Department of Utah State University, Logan, Utah, from 2000 to 2012 where he was a tenured associate professor and the director for the Center for Self-Organizing and Intelligent Systems (CSOIS) from 2004-2012. Dr. Chen published many books, papers, and patents. He served as the general co-chair for ICUAS 2014 and 2017, 2019 (International Conference on Unmanned Aircraft Systems), and was on the editorial board for journals like IEEE Trans. on Control Systems Technology, ISA Trans., IFAC journals of Control Engineering Practice, ASME Journal of Dynamics Systems, Measurement and Control. Right now he serves as an associate editor for IFAC Mechatronics, Fractional Calculus and Applied Analysis, Nonlinear Dynamics, as well as again ASME Journal of Dynamics Systems, Measurement and Control. He is now serving as the topical editor-in-chief (Field Robotics) for International Journal of Advanced Robotics Systems (IJARS) and Intelligent Service Robotics. His Publon H-index is 65 with more than 18k citations, Google Scholar citation is 41.3k with H-index 90, H10-index 528. Prof. Chen was selected in the 2018, 2019, and 2020 Highly Cited Researchers List by Clarivate. Professor Chen's vision on "Cognitive Process Control" since 2010 and his long-term collaboration with Lam Research (s2012) lead to today's developments of several digital twin laboratory platforms at MESA Lab included in this monograph, UC Merced. 

Digital Twin Background.- A Digital Twin Development Framework.- Digital Twin Enabling Capabilities.- Smart Control Engineering Enabled by Digital Twin.- Summary and Future Research Opportunities.

Erscheinungsdatum
Reihe/Serie Synthesis Lectures on Engineering, Science, and Technology
Zusatzinfo XII, 111 p. 67 illus., 61 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 168 x 240 mm
Gewicht 378 g
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Technik Elektrotechnik / Energietechnik
Schlagworte control systems • Digital Twin • Hardware-In-The-Loop • Industrial Artificial Intelligence • Industry 4.0 • Intelligent Control Engineering • internet of things • IOT
ISBN-10 3-031-22139-7 / 3031221397
ISBN-13 978-3-031-22139-2 / 9783031221392
Zustand Neuware
Haben Sie eine Frage zum Produkt?
Mehr entdecken
aus dem Bereich
von absurd bis tödlich: Die Tücken der künstlichen Intelligenz

von Katharina Zweig

Buch | Softcover (2023)
Heyne (Verlag)
20,00