Set-up scheduling by fuzzy logic

2002 ◽  
Author(s):  
K. Mertins ◽  
R. Albrecht ◽  
U. Wegener ◽  
F. Duttenhofer
Keyword(s):  
Fuzzy Logic ◽  
Set Up

Artificial Neural Networks Used As a Rule Selector for Fuzzy Logic Controllers

1993 ◽  
Author(s):  
Shou-Heng Huang ◽  
Ron M. Nelson
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Absolute Error ◽  
Operating Conditions ◽  
Delta Rule ◽  
Rule Sets ◽  
Artificial Neural ◽  
Artificial Neural Network Ann ◽  
Set Up ◽  
And Control

Abstract A feedforward, three-layer, partially-connected artificial neural network (ANN) is proposed to be used as a rule selector for a rule-based fuzzy logic controller. This will allow the controller to adapt to various control modes and operating conditions for different plants. A principal advantage of an ANN over a look up table is that the ANN can make good estimates to fill in for missing data. The control modes, operating conditions, and control rule sets are encoded into binary numbers as the inputs and outputs for the ANN. The General Delta Rule is used in the backpropagation learning process to update the ANN weights. The proposed ANN has a simple topological structure and results in a simple analysis and relatively easy implementation. The average square error and the maximal absolute error are used to judge if the correct connections between neurons are set up. Computer simulations are used to demonstrate the effectiveness of this ANN as a rule selector.

Completed Optimised Structure of Threonine Molecule by Fuzzy Logic Modelling

2016 ◽  
Vol 71 (4) ◽  
pp. 381-386
Author(s):  
Ahmet Sahiner ◽  
Fatih Ucun ◽  
Gulden Kapusuz ◽  
Nurullah Yilmaz
Keyword(s):  
Density Functional Theory ◽  
Fuzzy Logic ◽  
Density Functional ◽  
Functional Theory ◽  
Best Value ◽  
Basic Set ◽  
The Density Functional Theory ◽  
Fuzzy Logic Approach ◽  
Logic Approach ◽  
Set Up

AbstractIn this study we applied the fuzzy logic approach in order to model the energy depending on the two torsion angles for the threonine (C4H9NO3) molecule. The model is set up according to theoretical results obtained by the density functional theory (B3LYP) with a 6-31 G(d) basic set on a Gausian program. We aimed to determine the best torsion angle values providing the energy of the molecule minimum by a fuzzy logic approach and to compare them with the density functional theory results. It was concluded that the fuzzy logic approach gives information about the untested data and its best value which are expensive and time-consuming to obtain by other methods and experimentation.

scholarly journals Selfish node Detection Based on Fuzzy Logic and Harris Hawks Optimization Algorithm in IoT Networks

2021 ◽  
Vol 2021 ◽  
pp. 1-20
Author(s):  
Abbas Akhbari ◽  
Ali Ghaffari
Keyword(s):  
Fuzzy Logic ◽  
False Positive Rate ◽  
Hybrid Approach ◽  
The Internet ◽  
Selfish Nodes ◽  
Selfish Node ◽  
Third Stage ◽  
Positive Rate ◽  
Set Up ◽  
The Internet Of Things

The Internet of things describes a network of physical things for example, “things” that are connected with the sensors, software, and other technologies to connect and exchange data with other devices and systems via the Internet. In this type of network, the nodes communicate with each other because of the low radio range by step by step with the help of each other until they reach their destination, but there are nodes in the network that do not cooperate with other nodes in the network, which are called “selfish nodes”. In this paper, we try to detect selfish nodes based on a hybrid approach to increase the performance of our network. The proposed method consists of three stages: in the first stage, with the help of the Harris hawk operation, we try to set up the cluster and select head cluster; in the second stage, the sink investigates the existence or nonexistence of selfish nodes in the network by considering the general parameters of the network; and in the event of a selfish node in the network, it informs the head clusters to check the cluster members and recognize the selfish node. In the third stage, with the help of fuzzy logic, the amount of reputation of each of the nodes has been realized, and finally, with the help of fusion of head clusters and fuzzy logic, each node is decided to be cooperate or selfish nodes, and in case of head clusters and fuzzy logic in some cases, the opportunity node will be reestablished to participate in network activities otherwise the node will be isolated. The results show that the accuracy of selfish node detection has increased by an average of 12% and the false positive rate is 8% in comparison to existing methods.

Anti-Swing Trajectory Control of an Overhead Crane

2011 ◽  
Author(s):  
E. H. K. Fung ◽  
H. F. Yu ◽  
K. H. Suen ◽  
A. T. Leung
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Fuzzy Logic Controller ◽  
Equations Of Motion ◽  
Overhead Crane ◽  
Transportation Time ◽  
Swing Angle ◽  
Total Potential ◽  
Logic Control ◽  
Set Up

Imprecise positioning and swing of load of overhead crane cause prolonged transportation time. Some researchers tried to achieve suppression of swing angle and fast transfer simultaneously. But, the hoisting motion is usually ignored which can cause greater swing angle. Hence, a physical 2-DOF overhead crane model which consists of horizontal motion and hoisting motion is set up for this study. The total kinetic energy and the total potential energy are derived to obtain dynamic equations of motion by using Lagrangian method. Secondly, fuzzy logic control (FLC) has been adopted to control positioning of horizontal and hoisting motion and to suppress swing angle during transportation. Moreover, to minimize total transportation time, proportional (P) controller is added to the system forming the switching P+FLC controller. Finally, the proposed methods are evaluated by simulations and experiments. The overall results show that fuzzy logic controller combined with P controller (P+FLC) can effectively reduce the transportation time with a little increase in the swing angle.

Model based real-time control of sewer system using fuzzy-logic

1997 ◽  
Vol 36 (8-9) ◽  
pp. 343-347 ◽  
Author(s):  
L. Fuchs ◽  
T. Beeneken ◽  
P. Spönemann ◽  
C. Scheffer
Keyword(s):  
Fuzzy Logic ◽  
Real Time ◽  
Control Device ◽  
Real Time Control ◽  
Sewer System ◽  
Rule Based ◽  
The Real ◽  
Time Control ◽  
Set Up ◽  
Final System

This paper describes the use of the sewer model HYSTEM-EXTRAN in combination with a rule based control device using fuzzy-logic to simulate the real-time control of a sewer system. The rules for the control of the system were set up with the help of optimization procedures. The advantage of the procedure is proved by comparing the uncontrolled versus the controlled state in a simulated mode for an existing sewer system. The final system was installed and tested within the sewer system.

scholarly journals Prototype for operational seismic detection of natural avalanches

1998 ◽  
Vol 26 ◽  
pp. 313-318 ◽  
Author(s):  
B. Leprettre ◽  
J.P. Navarre ◽  
J. M. Panel ◽  
F. Touvier ◽  
A. Taillefer ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Signal Analysis ◽  
Time Estimation ◽  
High Time Resolution ◽  
Seismic Detection ◽  
Real Time Estimation ◽  
Average Success Rate ◽  
Set Up ◽  
Spurious Signals

A compact, operational prototype for automatic seismic detection of natural avalanches, named SARA, is proposed as a means to improve real-time estimation of natural avalanche activity. A software combining multi-component signal analysis and fuzzy logic has been set up to reject spurious signals automatically. The average success rate of our system, estimated from a set of previously identified signals, is somewhat over 90%. Two prototypes have been installed in the French Alps dur ing the winter of 1996–97. The SARA system enables the user to follow up the evolution of natural avalanche activity with a high time resolution. Results obtained in 1997 are presented and compared with other data related to avalanche activity.

Real-Time Image Stabilization Using Fuzzy Logic

2002 ◽  
Author(s):  
Anthony de Sam Lazaro ◽  
Joseph Tucker
Keyword(s):  
Fuzzy Logic ◽  
Real Time ◽  
Motion Sickness ◽  
Image Stabilization ◽  
Moving Vehicle ◽  
Preliminary Results ◽  
Real Time Image ◽  
Set Up ◽  
Time Image

The problem of video tele-operation of a moving vehicle is compounded by the fact that a camera mounted on such a vehicle moves rather violently and randomly depending on the terrain. This contributes to motion sickness of the operator who is controlling the vehicle from a stationary platform. In order to correct this problem, motion of the camera is counteracted by a stabilization routine that can account for all unwanted vibrations. A possibilistic model is described. The experimental set-up and preliminary results are presented.

scholarly journals Analysis on Modified Fuzzy Logic Toolbox for Marine Navigation Applications

2018 ◽  
Vol 9 (1) ◽  
pp. 73
Author(s):  
P. Palanichamy
Keyword(s):  
Fuzzy Logic ◽  
Control Theory ◽  
Control Strategy ◽  
Vehicle Control ◽  
Scientific Models ◽  
Control Framework ◽  
Navigation And Control ◽  
Set Up ◽  
Marine Navigation ◽  
And Control

<p>Programmed marine navigation and control is a vital piece of savvy vehicle control framework. It incorporates course keeping, and the course is evolving. Its primary design is to guarantee that boats cruise in the provided guidance consequently disregarding changes in ocean conditions, wind and different, unsettling influences. Fuzzy control is the verifiable truth that Fuzzy rationale frameworks require no exact scientific models of the framework under control. Expansion rationale, given expansion set, is to explore the different issue. The blend of development hypothesis and control theory brought another sort of wise control augmentation control. This paper presents Fuzzy augmentation control strategy for marine directing. The paper set up the model of Fuzzy augmentation control framework and concentrated the outline of Fuzzy augmentation controller. Recreation comes about show that the control strategy is profitable.</p>

scholarly journals Study on Building Runway Water Depth Model Based on the Placement of Water Level Gauge

2020 ◽  
pp. 12-17
Author(s):  
Peida Lin ◽  
◽  
Yannian Lee
Keyword(s):  
Fuzzy Logic ◽  
Water Level ◽  
Water Depth ◽  
Rainfall Intensity ◽  
Level Gauge ◽  
Normal Numbers ◽  
Model Based ◽  
Fuzzy Logic Method ◽  
Set Up ◽  
Logic Method

This study presents the analysis of runway water depth predictions based on different placement of water depth gauges. Fuzzy logic method is used to set up the numerical runway water depth models for prediction. The influenced parameters of models include runway average macrotexture depth, drainage length, rainfall intensity and cross slope. The results showed acceptable runway water depth predictions can be obtained through the placement of either normal numbers of water depth gauges or fewer gauges in the experiment.

scholarly journals Prototype for operational seismic detection of natural avalanches

1998 ◽  
Vol 26 ◽  
pp. 313-318 ◽  
Author(s):  
B. Leprettre ◽  
J.P. Navarre ◽  
J. M. Panel ◽  
F. Touvier ◽  
A. Taillefer ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Signal Analysis ◽  
Time Estimation ◽  
High Time Resolution ◽  
Seismic Detection ◽  
Real Time Estimation ◽  
Average Success Rate ◽  
Set Up ◽  
Spurious Signals

A compact, operational prototype for automatic seismic detection of natural avalanches, named SARA, is proposed as a means to improve real-time estimation of natural avalanche activity. A software combining multi-component signal analysis and fuzzy logic has been set up to reject spurious signals automatically. The average success rate of our system, estimated from a set of previously identified signals, is somewhat over 90%. Two prototypes have been installed in the French Alps dur ing the winter of 1996–97. The SARA system enables the user to follow up the evolution of natural avalanche activity with a high time resolution. Results obtained in 1997 are presented and compared with other data related to avalanche activity.

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