Cyber-physical systems (CPSs) have quickly become one of the hottest computer applications today. With their tight integration of cyber and physical objects, it is believed CPSs will transform how we interact with the physical world, just like the Internet transformed how we interact with one another. A CPS could be a system at multiple scales, from large smart bridges with fluctuation detection and responding functions, to autonomous cars and tiny implanted medical devices.
Cyber-Physical Systems: Integrated Computing and Engineering Design supplies comprehensive coverage of the principles and design of CPSs. It addresses the many challenges that must be overcome and outlines a roadmap of how to get there.
- Emphasizes the integration of cyber computing and physical objects control
- Covers important CPS theory foundations and models
- Includes interesting case studies of several important civilian and health care applications that illustrate the CPS design process
- Addresses the collaboration of the sensing and controlling of a physical system with robust software architecture
- Explains how to account for random failure events that can occur in a real CPS environment
Presented in a systematic manner, the book begins by discussing the basic concept underlying CPSs and examining some challenging design issues. It then covers the most important design theories and modeling methods for a practical CPS. Next, it moves on to sensor-based CPSs, which use embedded sensors and actuators to interact with the physical world.
The text presents concrete CPS designs for popular civilian applications, including building and energy management. Reflecting the importance of human health care in society, it includes CPS examples of rehabilitation applications such as virtual reality-based disability recovery platforms.
Table of Contents
Cyber-Physical Systems Concepts; Christopher Chadwick, Sarah Betzig, and Fei Hu
Cyber-Physical Systems: Design Challenges; Cameron Patterson, Roger Vas quez, and Fei Hu
Mobile Cyber-Physical Systems; Yeqing Wu and Fei Hu
Cyber-Physical System Controls; Tony Huynh, Ahmed Alsadah, and Fei Hu
Apprenticeship Learning for Cyber-Physical System Intelligence; Kassie Mc Carley, Joseph Pierson, and Fei Hu
Application of HDP-HMM in Recognition of Dynamic Hand Gestures; Lv Wu, Ting Zhang, and Fei Hu
On Modeling Issues in Cyber-Physical Systems; Michael Johnson, Tony Randolph, and Fei Hu
Cyber-Physical System Modeling on Cognitive Unmanned Aerial Vehicle Communications; Mengcheng Guo, Fei Hu, and Yang-ki Hong
Cyber-Physical System Security; Steven Guy, Erica Boyle, and Fei Hu
Cyber-Physical System Security—Smart Grid Example; Rebecca Landrum, Sarah Pace, and Fei Hu
SENSOR-BASED CYBER-PHYSICAL SYSTEMS
Wireless Sensor and Actuator Networks for Cyber-Physical System Applications; Kassie Mccarley, Joseph Pierson, and Fei Hu
Community Sensing; Trenton Bennett, John Grace, and Fei Hu
Wireless Embedded/Implanted Microsystems: Architecture and Security; Derek Chandler, Jonathan Pittman, Jaber Abu-Qahouq, and Fei Hu
The Application of Machine Learning in Monitoring Physical Activity with Shoe Sensors; Wenlong Tang, Ting Zhang, and Edward Sazonov
CIVILIAN CYBER-PHYSICAL SYSTEM APPLICATIONS
Energy Efficient Building; Preston Arnett, Ian Wolfe, and Fei Hu
Cyber-Physical System for Smart Grid Applications; Huiying Zhen and Fei Hu
Cyber-Physical System for Transportation Applications; Matthew Bell, Loilin Muirhead, and Fei Hu
Video Communications in Unmanned Aerial Vehicle–Based Cyber- Physical Systems; Mengcheng Guo, Fei Hu, Yang-ki Hong, Kenneth Ricks, and Jaber Abu-Qa houq
HEALTHCARE CYBER-PHYSICAL SYSTEM APPLICATIONS
Cyber-Physical Medication Systems and Devices to Improve Health Care; Bryant Grace, Brock Bennett, and Fei Hu
Augmented Cognition for Intelligent Rehabilitation; Chad Buckallew, Sarah Duncan, Walter Hudgens, Matt Smith, Hoyun Won, and Fei Hu
Using Wiimote and Kinect for Cognitive Rehabilitation: Toward an Intelligent Sensor/Image Signal Processing; Fei Hu, Yufan Wang, Xiaojun Cao, Qi Hao, and David Brown
Functional Near-Infrared Spectroscopy for Autorehabilitation Cyber- Physical Systems: Toward Intelligent Signal Processing for Rehab Progress Indication; Fei Hu and David Brown
Dr. Fei Hu is currently an associate professor in the Department of Electrical and Computer Engineering at the University of Alabama, Tuscaloosa, USA. He obtained his Ph.D. degrees at Tongji University (Shanghai, China) in the field of signal processing (in 1999) and at Clarkson University (New York, USA) in the field of electrical and computer engineering (in 2002). He has published over 160 journal/conference papers and books.
Dr. Hu’s research has been supported by the US National Science Foundation, Cisco, Sprint, and other sources. His research expertise can be summarized as 3S: Security, Signals, Sensors:
- Security, which focuses on how to overcome different cyber attacks in a complex wireless or wired network. Recently, he focused on cyber-physical system security and medical security issues.
- Signals, which mainly refers to intelligent signal processing, that is, using machine learning algorithms to process sensing signals in a smart way in order to extract patterns (i.e., achieve pattern recognition).
- Sensors, which includes microsensor design and wireless sensor networking issues.