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Computational Intelligence for Decision Support in Cyber-Physical Systems

  • Book
  • © 2014

Overview

  • First book to discuss decision support in complex Cyber Physical Systems with application areas ranging from health care and robotics to aerospace and defense systems
  • Real world scenarios are discussed for applied computational intelligence techniques in control, monitoring, diagnosis and fault tolerant control of Cyber Physical Systems
  • Includes many examples where computational intelligence and soft computing based decision support is found superior to model based adaptive methods
  • Includes supplementary material: sn.pub/extras

Part of the book series: Studies in Computational Intelligence (SCI, volume 540)

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Table of contents (15 chapters)

  1. Wireless Sensor and Actuator Networks

  2. Health Care and Medicine

  3. Robotics

  4. Power and Energy

  5. Industrial Applications

Keywords

About this book

This book is dedicated to applied computational intelligence and soft computing techniques with special reference to decision support in Cyber Physical Systems (CPS), where the physical as well as the communication segment of the networked entities interact with each other. The joint dynamics of such systems result in a complex combination of computers, software, networks and physical processes all combined to establish a process flow at system level.

This volume provides the audience with an in-depth vision about how to ensure dependability, safety, security and efficiency in real time by making use of computational intelligence in various CPS applications ranging from the nano-world to large scale wide area systems of systems.

Key application areas include healthcare, transportation, energy, process control and robotics where intelligent decision support has key significance in establishing dynamic, ever-changing and high confidence future technologies. A recommended text for graduate students and researchers working on the applications of computational intelligence methods in CPS.

Editors and Affiliations

  • Department of Electrical Engineering, National University of Science and Technology (NUST), Islamabad, Pakistan

    Zeashan H Khan

  • School of Engineering and Technology, CQ University, North Rockhampton, Australia

    A. B. M. Shawkat Ali

  • Fraunhofer Institute, Bonn, Germany

    Zahid Riaz

About the editors

Dr. Khan received his PhD in Automatic Control from University of Grenoble, France in 2010. Since then, he is actively collaborating in research as well as teaching courses at National University of Science and Technology (NUST), Pakistan. His research interests include Networked Control Systems, Computational Intelligence and Soft Computing, Cyber Physical Systems, Fault detection and Fault tolerant control etc. He has published many research papers in IEEE Conferences and international journals. He is a member of IEEE and SEE.

Dr. Ali is a visiting scholar in the Data Mining Laboratory, Kansai University, Japan and the Director of i-LaB Australia. He received his PhD in Information Technology from Clayton School of Information Technology, Monash University in 2005. His research interests include Computational Intelligence, Data Mining, Smart Grid, Cloud Computing and Biomedical Engineering. He has published more than 110 research papers in international journals and conferences. He is an IEEE Senior Member.

Dr. Riaz is currently working as a full time postdoctoral researcher at the Institute for Intelligent Analysis and Information Systems (IAIS) Fraunhofer Gesellschaft, Germany. He completed his PhD from Technical University of Munich (TUM), Germany in 2011 in the area of computer vision and image processing. He was awarded the German Academic Exchange Service (DAAD) and Higher Education Commission of Pakistan (HEC) fellowship in 2007 and European Research Consortium for Informatics and Mathematics (ERCIM) fellowship in 2011. Dr. Riaz is also serving as project coordinator for Context Aware Perception for Assistive Environments under DAAD program for German-Pakistani Universities collaboration. In 2009-10, he worked as a visiting researcher in computer vision lab at University of Central Florida (UCF). His research interests include image processing, computer vision, pattern recognition, assistive robotics, CPS etc. He is a member of IEEE.

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