Fuzzy Control of Queuing Systems

Runtong Zhang

ISBN 10: 1849969302 / ISBN 13: 9781849969307

Published by Springer London Ltd, 2010

About this Item

This item is printed on demand. New copy - Usually dispatched within 5-9 working days 318.

Seller Inventory # C9781849969307

Bibliographic Details

• Title: Fuzzy Control of Queuing Systems
• Publisher: Springer London Ltd
• Publication Date: 2010
• Language: English
• ISBN 10: 1849969302
• ISBN 13: 9781849969307
• Binding: Paperback / softback
• Condition: New

About this title

Synopsis

This brand new research has only appeared to date in academic papers. This is the first book to specifically talk about the new approach fuzzy control of queuing systems. A must have monograph for graduate and postgraduate students and researchers working in a variety of fields.

Review

From the reviews:

"This book makes a much needed connection between fuzzy control and plants that can readily be modeled as queuing systems ... . The strengths of the book are its systematic approach to structuring control problems and its emphasis on the construction of fuzzy models for various queuing systems. ... the book is unique in linking queuing theory with fuzzy control, making it a valuable reference." (IEEE Control Systems Magazine, June, 2005)

"The book provides a number of results in queuing control from the point of view of fuzzy logic. The authors consider fuzzy control as an effective approach in nonlinear or large-scale systems control ... . The material of the book can be useful to advanced undergraduate and graduate students. Also, researchers and practitioners in the field of queuing control, systems analysis, manufacturing, and communications may benefit from it." (Oleg K. Zakusilo, Zentralblatt MATH, Vol. 1064, 2005)

"The book Fuzzy Control of Queuing Systems by R. Zhang, Y. Phillis, and V. Kouikoglou presents the first attempt to apply fuzzy logic control to various queuing problems systematically. The book has an excellent coverage and clear presentation. ... The book structure is suitable for teaching a graduate course in the topic. Its style makes it accessible." (Mohamed B. Trabia, International Journal of Robust and Nonlinear Control, Vol. 17, 2007)