Grid And Distributed Computing Control And Automation
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Grid and Distributed Computing, Control and Automation
Welcome to the proceedings of the 2010 International Conferences on Grid and D- tributed Computing (GDC 2010), and Control and Automation (CA 2010) – two of the partnering events of the Second International Mega-Conference on Future Gene- tion Information Technology (FGIT 2010). GDC and CA bring together researchers from academia and industry as well as practitioners to share ideas, problems and solutions relating to the multifaceted - pects of high-performance and compound control systems, including their links to computational sciences, mathematics and information technology. In total, 1,630 papers were submitted to FGIT 2010 from 30 countries, which - cludes 198 papers submitted to GDC/CA 2010. The submitted papers went through a rigorous reviewing process: 395 of the 1,630 papers were accepted for FGIT 2010, while 40 papers were accepted for GDC/CA 2010. Of the 40 papers, 8 were selected for the special FGIT 2010 volume published by Springer in LNCS the series. 28 papers are published in this volume, and 4 papers were withdrawn due to technical reasons. We would like to acknowledge the great effort of the GDC/CA 2010 International Advisory Boards and members of the International Program Committees, as well as all the organizations and individuals who supported the idea of publishing this volume of proceedings, including SERSC and Springer. Also, the success of these two c- ferences would not have been possible without the huge support from our sponsors and the work of the Chairs and Organizing Committee.
Grid and Distributed Computing
This book constitutes the refereed proceedings of the International Conference, GDC 2011, held as Part of the Future Generation Information Technology Conference, FGIT 2011, Jeju Island, Korea, in December 2011. The papers presented were carefully reviewed and selected from numerous submissions and focuse on the various aspects of grid and distributed computing.
Distributed Model Predictive Control Made Easy
Author: José M. Maestre
language: en
Publisher: Springer Science & Business Media
Release Date: 2013-11-10
The rapid evolution of computer science, communication, and information technology has enabled the application of control techniques to systems beyond the possibilities of control theory just a decade ago. Critical infrastructures such as electricity, water, traffic and intermodal transport networks are now in the scope of control engineers. The sheer size of such large-scale systems requires the adoption of advanced distributed control approaches. Distributed model predictive control (MPC) is one of the promising control methodologies for control of such systems. This book provides a state-of-the-art overview of distributed MPC approaches, while at the same time making clear directions of research that deserve more attention. The core and rationale of 35 approaches are carefully explained. Moreover, detailed step-by-step algorithmic descriptions of each approach are provided. These features make the book a comprehensive guide both for those seeking an introduction to distributed MPC as well as for those who want to gain a deeper insight in the wide range of distributed MPC techniques available.