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Optimal Observation for Cyber-physical Systems: A Fisher-information-matrix-based Approach 1st Edition. 2nd Printing. 2009 Edition

ISBN-13: 978-1848826557
ISBN-10: 1848826559
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Editorial Reviews


From the reviews:

“This book presents a Fisher information matrix approach to observation problems involving wireless sensor networks. The book is aimed at researchers and engineers interested in observation problems involving wireless networks.” (IEEE Control Systems Magazine, Vol. 30, October, 2010)

From the Back Cover

Cyber-physical systems (CPS) embody the interaction between a computing system and a physical process, being distinguished from traditional embedded systems by being designed as networks of interacting elements rather than as isolated devices. The wireless sensor networks (WSNs) which are the focus of the research presented here are examples of the application of CPS in monitoring some physical quantities of the environment and relaying the processed information to a central hub.

Optimal Observation for Cyber-physical Systems addresses the challenge, fundamental to the design of WSNs, presented by the obligatory trade-off between precise estimates and system constraints. A unified theoretical framework, based on the well-established theory of optimal experimental design and providing consistent solutions to problems hitherto requiring a variety of approaches, is put forward to solve a large class of optimal observation problems. The Fisher information matrix plays a key role in this framework and makes it feasible to provide analytical solutions to some complex and important questions which could not be answered in the past. A set of MATLAB® files are also provided for the use of the reader (via download from, to simulate the experiments that are described in the book.

Optimal Observation for Cyber-physical Systems will be of interest to academic researchers in WSNs and to readers with an applied background in WSN implementation who will find most of the theoretical understanding of the key theory of optimal experimental design they need within this book. The use of multiple real-world examples to illustrate the theoretical parts of the book brings the subject into sharper focus than would an abstract theoretical disquisition. Researchers interested in convex optimization and in environmental monitoring and the estimation of diffusive pollution will also find the text of service.


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Product Details

More About the Author

Biosketch: YangQuan Chen (SM'95-SrM'98) received the B.S. degree in industrial automation from the University of Science and Technology of Beijing, Beijing, China, in 1985, the M.S. degree in automatic control from the Beijing Institute of Technology, Beijing, in 1989, and the Ph.D. degree in advanced control and instrumentation from the Nanyang Technological University, Singapore, Singapore, in 1998. He is currently an Associate Professor of electrical and computer engineering at Utah State University, Logan, and the Director of the Center for Self-Organizing and Intelligent Systems. He is the holder of 13 U.S. patents in various aspects of hard disk drive servomechanics and one US patent on fractional order controller tuning. He has published over 150 journal papers, over 20 book chapter papers, over 300 refereed conference papers, and more than 50 industrial technical reports. He has coauthored two research monographs "Iterative Learning Control: Convergence, Robustness and Applications" (with Changyun Wen, Lecture Notes Series in Control and Information Science, Springer-Verlag, 1999), " Iterative Learning Control: Robustness and Monotonic Convergence for Interval Systems" (with Hyo-Sung Ahn and Kevin L. Moore, Communication and Control Engineering Series, Springer-Verlag, 2007), and three textbooks "System Simulation: Techniques and Applications Based on MATLAB/Simulink" (with Dingyü Xue, Tsinghua University Press, Beijing, China, April 2002, 2nd Edition Feb. 2011), "Solving Advanced Applied Mathematical Problems Using Matlab" (with Dingyü Xue, Tsinghua University Press, August 2004, 2nd Edition Nov. 2008), "Solving Control Related Mathematical Problems Using Matlab" (with Dingyü Xue, Tsinghua University Press, November 2007), "Linear Feedback Control: Analysis and Design with Matlab" (with Dingyü Xue, SIAM Press, Philadelphia, PA, 2007) and "Solving Applied Mathematical Problems with MATLAB" (with Dingyu Xue, CRC Press, Nov. 2008). His recent monographs are "Optimal Observation for Cyber-Physical Systems: A Fisher Information Matrix Based Approach" (with Song, Sastry and Tas, Springer, July 2009), "Fractional Order Systems and Control: Fundamentals and Applications" (with Monje, Vinagre, Xue and Feliu, Springer Advanced Industrial Control Series, Oct. 2010), "Optimal Mobile Sensing and Actuation Policies in Cyber-physical Systems" (with Tricaud, Springer, Nov. 2011) and "Fractional Processes and Fractional-Order Signal Processing" (with H. Sheng and T. Qiu, Springer Signals and Communication Technology Series, 2011). His forthcoming monographs are "Distributed-Order Dynamic Systems: Stability, Simulation, Applications and Perspectives" (with Z. Jiao and I. Podlubny, SpringerBrief, 2012), "Fractional Order Motion Controls" (with Y. Luo, Wiley, 2012) and "Remote Sensing and Actuation Using Unmanned Vehicles" (with H. Chao, Wiley-IEEE Press, 2012). His current areas of research interests include: distributed measurement and distributed control of distributed parameter systems using mobile actuator and sensor networks, smart mechatronics and process controls, applied fractional calculus in controls, signal processing and energy informatics, multi-UAV based cooperative personal remote sensing and real time water management and irrigation control. Dr. Chen is an Associate Editor on the Conference Editorial Board of the Control Systems Society of the IEEE (since 2002) and an Associate Editor on the Instrument Society of the America Editorial Board for the American Control Conference (since 2004). He is the General Chair for IEEE/ASME Int. Conf. on Mechatronics and Embedded Systems Applications (MESA) 2010, Qingdao, China and served as Program Chair for the ASME/IEEE Int. Conf. on MESA, Las Vegas, NV, in 2007 and MESA09 San Diego, CA, 2009 and Program Co-Chair for the IEEE International Conference on Mechatronics and Automation for 2006 and 2007. He is the TC Chair for MESA under ASME DED, Chair for MES for IEEE ITSS, and a member of IFAC TC2.2. Dr. Chen is a member of AMA, AWRA, AUVSI, ASME, IEEE, and the American Society for Engineering Education. He serves as an Associate Editor for ISA Transactions, IFAC Mechatronics, Acta Montanistica Slovaca, Fractional Calculus and Applied Analysis (FCAA), Fractional Differential Calculus (FDC), ASME J. of Dynamic Systems, Measurement and Control and IEEE Transactions on Control Systems Technology (TCST). He is a Designated Editor for IFAC journal Control Engineering Practice (CEP) and a member of Editorial Advisory Board of An International Journal of Optimization and Control: Theories & Applications (IJOCTA). Currently, Dr. Chen serves as the TC Chair for IEEE Robotics and Automation Society on Aerial Robotics and Unmanned Aerial Vehicles. He is a member of IFAC TC 2.2. His ISI H-index is 23 and Google Scholar MyCitation H-index is 40 and the i10-index is 159.

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Optimal Observation for Cyber-physical Systems: A Fisher-information-matrix-based Approach
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