Fuzzy Control of Queuing Systems

Existing practical problems, especially those that are unresponsive to conventional control techniques, are solved with the introduction of this novel approach.

Fuzzy Control of Queuing Systems

Every day we experience the annoyance of having to queue. The phenomenon is becoming more prevalent in our increasingly congested and urbanised society. Not only the visible queues in traffic jams, airport check in desks and supermarkets, but the more common invisible queues caused by voice calls and data packets in optical and wireless channels. Queues cost us time, money and resources; so what is the solution to our greater demand for services than there are facilities? Queuing control plays a crucial role in manufacturing and communication networks around the world. This pioneering approach, using fuzzy control to solve queuing control problems, determines explicit solutions to various types of control in queuing systems. The bulk of results have been developed over the past decade and are presented here together for the first time. 21 detailed case studies demonstrate an efficient departure from classical techniques. Unique work creating a new Research and Development topic. Multidisciplinary approach that will benefit researchers and students throughout the fields of artificial intelligence, operations research, optimal control, Internet techniques, communications and traffic control industries. Equipped with an extensive bibliography for easy reference and scope for further study. Existing practical problems, especially those that are unresponsive to conventional control techniques, are solved with the introduction of this novel approach. A systematic framework of the ‘fuzzy control of queuing networks’ is developed through each individual case.

Fuzzy Control of Queuing Systems

Fuzzy control of queuing systems is an application of fuzzy logic theory to the
control of queues. A fuzzy logic controller provides a decision mechanism that
dynamically determines the parameters, patterns, and policies of a queuing
system in ...

Fuzzy Control of Queuing Systems

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.

The 10th IEEE International Conference on Fuzzy Systems

We also show that SW5 Queue 1600 600 750 240 QoS measurements are
improved with the application of the fuzzy logic predictor on the ABR queue . In
addition , traffic conTABLE V trollers incorporating fuzzy logic inference are
proved to ...

The 10th IEEE International Conference on Fuzzy Systems


Control and Intelligent Systems

A queue with 50 vehicles or more belongs to the same fuzzy set of " ultra - long , "
as it is very unusual to have a queue ... Fuzzy logic control systems can be
regarded as rule - based expert systems , comprising of a set of if - then rules ( 8 ]
.

Control and Intelligent Systems


Computer Control Abstracts

... 78298 Optimal control of the blowup time of a diffusion See Entry 78649
Formal aspects of fuzzy logic-approaches to ... The new approximate method was
developed for solving Ihe indicated problem for queuing system of big dimension.

Computer   Control Abstracts


Introduction to Fuzzy Systems

The book also offers a tutorial on fuzzy control theory, based mainly on the well-known classical Proportional-Integral-Derivative (PID) controllers theory and design methods.

Introduction to Fuzzy Systems

Introduction to Fuzzy Systems provides students with a self-contained introduction that requires no preliminary knowledge of fuzzy mathematics and fuzzy control systems theory. Simplified and readily accessible, it encourages both classroom and self-directed learners to build a solid foundation in fuzzy systems. After introducing the subject, the authors move directly into presenting real-world applications of fuzzy logic, revealing its practical flavor. This practicality is then followed by basic fuzzy systems theory. The book also offers a tutorial on fuzzy control theory, based mainly on the well-known classical Proportional-Integral-Derivative (PID) controllers theory and design methods. In particular, the text discusses fuzzy PID controllers in detail, including a description of the new notion of generalized verb-based fuzzy-logic control theory. Introduction to Fuzzy Systems is primarily designed to provide training for systems and control majors, both senior undergraduate and first year graduate students, to acquaint them with the fundamental mathematical theory and design methodology required to understand and utilize fuzzy control systems.

Proceedings

Fuzzy Logic : Implementation of FEM for Diff - Serv * linguistic rules for assured (
yellow ) class * / if q is empty then ... for Diff - Serv Our design of a fuzzy control
system for Diff - Serv networks is based on a fuzzy logic controlled RED queue .

Proceedings


Journal of Dong Hua University

with Data Flow Fuzzy Finite Terminal We consider the problem of data flow fuzzy
control of discrete queuing systems with three different service - rate servers . The
objective is to dynamically assign customers to idle severs based on the state ...

Journal of Dong Hua University


1996 IEEE International Conference on Communications

The average queueing delays for both mechanisms are very close as shown in
Figure 8. From Figure 7 and 8 , we have shown that the fuzzy logic system can
optimize the service sequence from the network status ( occupied queue length )
 ...

1996 IEEE International Conference on Communications


Manufacturing Man machine Systems Computers Components Traffic Control Space Applications

The fuzzy logic controller using fuzzy control statements is effective even for the
control of successive traffic junctions . ... BASIC FUZZY LOGIC CONTROLLER
Since the computer controlled traffic systems were adopted in large cities in
1960's , many ... A fuzzy logic controller or a fuzzy logic phase controller must be
interchanged each other evaluating the performance of controllers e.g. queue or
arrived ...

Manufacturing  Man machine Systems  Computers  Components  Traffic Control  Space Applications


Journal of Economic Literature

Specific applications discussed include : fuzzy statistics for policy analysis , fuzzy
models for queuing systems , operations research with fuzzy data , fuzzy decision
nctions , character recognition , fuzzy logic for process control , fuzzy cost ...

Journal of Economic Literature


Applications and Science of Neural Networks Fuzzy Systems and Evolutionary Computation II

On the other hand , in input queuing , if the head - of - line blocking problem can
be solved , comparable performance ... advances in fuzzy logic in
telecommunications networks and new challenges , ” IEEE Transactions on
Fuzzy Systems 6 ...

Applications and Science of Neural Networks  Fuzzy Systems  and Evolutionary Computation II


Dissertation Abstracts International

( 4 ) The lack of methodologies which enable us to define and analyze the
continuous operation of fuzzy automata in a reasonable amount of time . ... two
very different and practical problems : a mechanical control problem ( fuzzy
control of an inverted pendulum ) and protein family ... and compatibility with
tractable analytical network performance models , we find that Join - the -
Shortest - Queue with bias ...

Dissertation Abstracts International


Adaptive Fuzzy Systems for Traffic Responsive and Coordinated Ramp Metering

A problem of the simulated coordinated ramp metering approaches , Denver ' s
HELPER and Minnesota ' s Zone , is that they got caught in a cycle between
queue override activations and restrictive metering rates . The fuzzy logic ramp ...

Adaptive Fuzzy Systems for Traffic Responsive and Coordinated Ramp Metering


Conference Record

When mixed with VBR traffic , the fuzzy queue length is very much affected by the
ICR at the ABR - end logic control scheme exhibits higher efficiency and lower
cell loss . systems , the distance of the feedback path , and the queue control ...

Conference Record


Development and Evaluation of a Multi agent Based Neuro fuzzy Arterial Traffic Signal Control System

These fuzzy logic methods use queue lengths and traffic arrivals on all
approaches as inputs , and the control action is usually determined based on a
number of fuzzy rules . The followings are two simple examples of fuzzy rules that
are used ...

Development and Evaluation of a Multi agent Based Neuro fuzzy Arterial Traffic Signal Control System

Arterial traffic signal control is a very important aspect of traffic management system. Efficient arterial traffic signal control strategy can reduce delay, stops, congestion, and pollution and save travel time. Commonly used pre-timed or traffic actuated signal control do not have the capability to fully respond to real-time traffic demand and pattern changes. Although some of the well-known adaptive control systems have shown advantageous over the traditional per-timed and actuated control strategies, their centralized architecture makes the maintenance, expansion, and upgrade difficult and costly.

Compendium of Technical Papers

In all cases the fuzzy logic controller outperformed the pretimed one , since it
resulted in a higher number of vehicles traveled through this network . Figure 7
shows the plot of the mean content ( or queue extent ) for all entry link during the
simulation period . ... of flow rates were applied to compare the system's
performance in terms of delays experienced by the actuated and the fuzzy logic
controller .

Compendium of Technical Papers