IP Network-Based Multi-Agent Systems for Industrial Automation
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IP Network-Based Multi-Agent Systems for Industrial Automation

IP Network-Based Multi-Agent Systems for Industrial Automation


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About the Book

Introduction Agents, Multi-Agent Systems and Mobile Code An Agent-based Architecture for Power System Automation Static Components of Architecture Applications of Mobile Agents Multi-agent Based Substation Information Management System Evaluation and Analysis
About the Author:

Dr David Buse obtained a first-class BSc degree in Computer Science in 2000, and a PhD degree in Electrical Engineering in 2005 from the University of Liverpool, UK. He is a Member of IEEE. His research interests include mobile agents, multi-agent systems, and their industrial applications.

Prof. Henry Wu is the Chair of Electrical Engineering in the Department of Electrical Engineering and Electronics at the University of Liverpool, UK. He is also Director of the National Instruments e-Automation Laboratory at the University of Liverpool, in which research is focused on network-based industrial automation. He graduated from Huazhong University of Science and Technology (HUST), China, in 1978 and obtained an MSc (Eng) degree in Electrical Engineering from HUST in 1981. Prof. Wu is a Chartered Engineer, a Fellow of the IEE and a Senior Member of the IEEE. His research interests include systems analysis and control, computational intelligence, biologically-inspired modeling and computation, information processing and management, distributed complex systems, multi-agent systems, and their applications for power system operation and control.


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Product Details
  • ISBN-13: 9781849966351
  • Publisher: Springer
  • Publisher Imprint: Springer
  • Edition: Softcover reprint of hardcover 1st ed. 2007
  • Language: English
  • Returnable: N
  • Spine Width: 11 mm
  • Weight: 349 gr
  • ISBN-10: 1849966354
  • Publisher Date: 22 Oct 2010
  • Binding: Paperback
  • Height: 234 mm
  • No of Pages: 187
  • Series Title: Power Systems
  • Sub Title: Information Management, Condition Monitoring and Control of Power Systems
  • Width: 156 mm


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