Cyber-physical systems : integrated computing and engineering design

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.

Author Notes

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.

Christopher Chadwick and Sarah Betzig and Fei HuCameron Patterson and Roger Vasquez and Fei HuYeqing Wu and Fei HuTony Huynh and Ahmed Alsadah and Fei HuKassie McCarley, Joseph Pierson and Fei HuLv Wu and Ting Zhang and Fei HuMichael Johnson and Tony Randolph and Fei HuMengcheng Guo and Fei Hu and Yang-Ki HongSteven Guy and Erica Boyle and Fei HuRebecca Landrum and Sarah Pace and Fei HuKassie McCarley and Joseph Pierson and Fei HuTrenton Bennett and John Grace and Fei HuDerek Chandler and Jonathan Pittman and Jaber Abu-Qahouq and Fei HuWenlong Tang and Ting Zhang and Edward SazonovPreston Arnett and Ian Wolfe and Fei HuHuiying Zhen and Fei HuMatthew bell and Loilin Muirhead and Fei HuMengcheng Guo and Fei Hu and Yang-Ki Hong and Kenneth Ricks and Jaber Abu-QahouqBryant Grace and Brock Bennett and Fei HuChad Buckallew and Sarah Duncan and Walter Hudgens and Matt Smith and Hoyun Won and Fei HuFei Hu and Yufan Wang and Xiaojun Cao and Qi Hao and David BrownFei Hu and David Brown

Preface	p. xi
Author	p. xv
Contributors	p. xvii
Section I Basics
1 Cyber-Physical Systems Concepts	p. 3
2 Cyber-Physical Systems: Design Challenges	p. 15
3 Mobile Cyber-Physical Systems	p. 35
Section II Design Principles
4 Cyber-Physical System Controls	p. 49
5 Apprenticeship Learning for Cyber-Physical System Intelligence	p. 63
6 Application of HDP-HMM in Recognition of Dynamic Hand Gestures	p. 77
7 On Modeling Issues in Cyber-Physical Systems	p. 89
8 Cyber-Physical System Modeling on Cognitive Unmanned Aerial Vehicle Communications	p. 101
9 Cyber-Physical System Security	p. 125
10 Cyber-Physical System Security-Smart Grid Example	p. 135
Section III Sensor-Based Cyber-Physical Systems
11 Wireless Sensor and Actuator Networks for Cyber-Physical System Applications	p. 155
12 Community Sensing	p. 169
13 Wireless Embedded/Implanted Microsystems: Architecture and Security	p. 187
14 The Application of Machine Learning in Monitoring Physical Activity with Shoe Sensors	p. 201
Section IV Civilian Cyber-Physical System Applications
15 Energy Efficient Building	p. 217
16 Cyber-Physical System for Smart Grid Applications	p. 233
17 Cyber-Physical System for Transportation Applications	p. 253
18 Video Communications in Unmanned Aerial Vehicle-Based Cyber-Physical Systems	p. 267
Section V Health Care Cyber-Physical System Applications
19 Cyber-Physical Medication Systems and Devices to Improve Health Care	p. 293
20 Augmented Cognition for Intelligent Rehabilitation	p. 309
21 Using Wiimote and Kinect for Cognitive Rehabilitation: Toward an Intelligent Sensor/Image Signal Processing	p. 335
22 Functional Near-Infrared Spectroscopy for Autorehabilitation Cyber-Physical Systems: Toward Intelligent Signal Processing for Rehab Progress Indication	p. 351
Index	p. 365

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Table of Contents