Smarter Cyber Physical Systems: Enabling Methodologies and Applications
Liburu elektroniko honi buruz
This book highlights the latest advances and explores the new trends in the design and implementation of smarter Cyber-Physical systems (CPS). It introduces integrated model-based and data-driven solutions for CPS that demonstrate features including both adaptability and interpretability. Key topics covered include reinforcement learning, digital twin and large-scale networks. The book then presents the latest codesign techniques that address practical computation, networking, control, and physical constraints. It examines important issues related to human CPS, safety, resilience and privacy. The chapters feature the tight integration of theory and practice, including problems motivated from applications, fundamental research development that are generally applicable, and implementation in real system applications. A wide range of CPS applications are covered, including robotics, autonomous driving, unmanned aerial vehicles and smart cities.
Egileari buruz
Yan Wan is a Distinguished University Professor in the Electrical Engineering Department at the University of Texas at Arlington (UTA). She is an Associate Fellow of AIAA and a Senior Member of IEEE.
Kyriakos G. Vamvoudakis currently serves as the Dutton-Ducoffe Endowed Professor at The Daniel Guggenheim School of Aerospace Engineering at Georgia Tech. He is also a registered Electrical/Computer engineer (PE), a member of the Technical Chamber of Greece, an Associate Fellow of AIAA, and a Senior Member of IEEE.
Yangquan Chen had been a faculty of the School of Engineering, University of California, Merced (UCM) since 2012. He is listed in Highly Cited Researchers by Clarivate Analytics from 2018.
Frank L. Lewis is the Moncrief-O'Donnell Endowed Chair and a Professor of Electrical Engineering at The University of Texas at Arlington. He is a Fellow of National Academy of Inventors, a Life Fellow IEEE, Fellow IFAC, Fellow U.K. Inst. of Measurement and Control, Fellow AAAS.
