Computational Intelligence for Decision Support in Cyber-Physical Systems (eBook, PDF)

Redaktion: Khan, Zeashan H; Riaz, Zahid; Ali, A. B. M. Shawkat

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 464
• Erscheinungstermin: 18. Februar 2014
• Englisch
• ISBN-13: 9789814585361
• Artikelnr.: 43789357

Autorenporträt

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.

Inhaltsangabe

Configurable, Energy-Efficient, Application- and Channel-aware Middleware Approaches for Cyber-Physical Systems.- Multi-objective optimization for error compensation in intelligent micro-factory CPS.- The Development of Cyber-Physical System in Health Care Industry.- Context-Aware Perception for Cyber-Physical Systems.- A Comparison of Golay Code and Neuro-Fuzzy Pulse Compression Methods in Ranging Applications.- Trajectory Generation for Autonomous Mobile Robots.- Fuzzy Logic-based Adaptive Decision Support in Autonomous Vehicular Networks.- Adaptive Trajectory Tracking of Wheeled Mobile Robot with uncertain Parameters.- Computational Intelligence in Smart Grids: Case Studies.- On-Line Demand Management of Low Voltage Residential Distribution Networks in Smart Grids.- Smart Inter-phase Switching of Residential Loads in Low Voltage Distribution Feeders.- The Optimization of Computational Stock Market Model Based Complex Adaptive Cyber Physical Logistics System: A Computational Intelligence Perspective.- Optimized Reconfigurable Autopilot Design for an Aerospace CPS.- TS Fuzzy Approach for Fault Detection in Nonlinear Cyber Physical Systems.- Novel Computational Intelligence for Optimizing Cyber Physical Pre-Evaluation System.