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An Auto-Tuning Method for the Scaling Factors of Fuzzy Logic Controllers with Application to SISO Mechanical System
2015
International Journal of Materials Mechanics and Manufacturing
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In this paper, a PD-like self-tuning fuzzy controller based on tuning of scaling factors (STFC) by gradient descent method is presented. ...
Index Terms-Fuzzy logic controller (FLC), scaling factors, gradient decent method, performance indices. Bratislava in 1999. ...
The fuzzy system has three membership functions for each of the two inputs (e and ̇) and three membership functions for the output. The rule-base consists of 9 rules. ...
doi:10.7763/ijmmm.2015.v3.165
fatcat:h44taflm6vgwnb2fqi6adacx2y
Using Fuzzy Logic to reduce power consumption of notebooks
2009
2009 IEEE 13th International Symposium on Consumer Electronics
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These two parts cooperate to control the backlight brightness and the speed of the cooling fan, by using the fuzzy control rule as a replacement the traditional method. ...
The fan speed is controlled by the CPU to maintain a constant temperature. The LCD backlight brightness which is based on the keystroke frequency or the touchpad is adjusted by using the FLC. ...
The fuzzy rules for the control of temperature and fan are designed as follows: DL z THEN TL is x IF Rule DM z THEN TM is x IF Rule DS z THEN TS is x IF Rule = = = . 3 . 2 . 1 In the EC part we have added ...
doi:10.1109/isce.2009.5156815
fatcat:4qwieds5gjablbdxwoxdz2jkuu
Performance Evaluation of Automobile Fuel Consumption Using a Fuzzy-Based Granular Model with Coverage and Specificity
2019
Symmetry
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The method was augmented by the coverage and specificity of the GMs output as the performance index. For the GM validation, its performance was compared and analyzed using the auto MPG dataset. ...
The predictive performance of different granular models (GMs) was compared and analyzed for methods that evenly divide linguistic context in information granulation-based GMs and perform flexible partitioning ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/sym11121480
fatcat:7n555nejebaijif3gajjjfikte
ENHANCEMENT OF FUZZY LOGIC CONTROLLER WITH RULE-VIEWER FOR RESTORATION SCHEME IN POWER SYSTEM
2016
International Journal of Advanced Research
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logic was conceived, namely, the realm of fuzzy logic based process control, as per today's world there are two types of control i.e. ...
Fuzzy control is based on an I/O function that maps each very low-resolution quantization interval of the input domain into a very low-low resolution quantization interval of the output domain. ...
There are several methods to design a fuzzy controller. The design of fuzzy controller involves formation of membership function and rule base. ...
doi:10.21474/ijar01/768
fatcat:n3irdwh5t5cixbhvdinx4xekgm
A Learning Algorithm for Distance-type Fuzzy Reasoning Method
2000
International journal of biomedical soft computing and human sciences
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Tlie distance-type fuzzy reasoning method auto-tuning methods [3 5] based on the delta nile, which is a simplified reasoning method [2] , have been proposed. ...
By the learning axioms, the leaming algoritlmi based on the decomposition characteristic of the distance-type fuzzy reasoning method consists of the fo11owing five steps. ...
doi:10.24466/ijbschs.6.1_61
fatcat:xgsihybjevahvly3glmww5qddq
A Hybrid CBR Model for Forecasting in Complex Domains
[chapter]
2002
Lecture Notes in Computer Science
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The proposed model employs a case-based reasoning system to wrap a growing cell structures network, a radial basis function network and a set of Sugeno fuzzy models to provide an accurate prediction. ...
In situations in which the rules that determine a system are unknown, the prediction of the parameter values that determine the characteristic behaviour of the system can be a problematic task. ...
Similar fuzzy sets for one parameter are merged to create a common fuzzy set to replace them in the rule base. ...
doi:10.1007/3-540-36131-6_11
fatcat:6vlpcf2cavfw3dfy7wtpopexyu
An Automated Hybrid CBR System for Forecasting
[chapter]
2002
Lecture Notes in Computer Science
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The proposed system employs a case-based reasoning model that incorporates a growing cell structures network, a radial basis function network and a set of Sugeno fuzzy models to provide an accurate prediction ...
In situations in which the rules that determine a system are unknown, the prediction of the parameter values that determine the characteristic behaviour of the system can be a problematic task. ...
Similar fuzzy sets for one parameter are merged to create a common fuzzy set to replace them in the rule base. ...
doi:10.1007/3-540-46119-1_38
fatcat:2blr7dpforbl3iarybqmexslgy
FSfRT: FORECASTING SYSTEM FOR RED TIDES. A HYBRID AUTONOMOUS AI MODEL
2003
Applied Artificial Intelligence
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Hybrid reasoning system, neural indexing, neural adaptation, extracting fuzzy rules, fuzzy revision, forecasting red tides. ...
Statistical models such as Auto-Regressive Integrated Moving Averages (ARIMA) have been applied, but the results obtained so far have indicated that they have less facility for forecasting such parameters ...
, 1985) , which is generated from the trained RBF network and provides the basis for the creation of a fuzzy rule-based revision subsystem. ...
doi:10.1080/714858319
fatcat:qxnfbwtq7vhjdjodpusqyuvzs4
Research on Auto-Scaling of Web Applications in Cloud: Survey, Trends and Future Directions
2019
Scalable Computing : Practice and Experience
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One of the key challenges for web application in cloud computing is auto-scaling. ...
Based on the analysis, we proposed the new areas of research in this direction. ...
The fuzzy rule-based model used to construct the auto-scaler. ...
doi:10.12694/scpe.v20i2.1537
fatcat:5zdylggvtjdslichn6mpoleese
Advanced Automatic Pumping Station with Canal Level Remote Control System Using ABB PLC Based on FLC
2017
DEStech Transactions on Engineering and Technology Research
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The applied control method is based on Fuzzy Logic System, designed in MATLAB -Simulink, which can communicate with PLC through OPC server by using gateway. ...
The system is designed for the agricultural land where the water level (i.e. canals or rivers) is low and traditional system of irrigation is not working well. ...
FLC Method The main principle components for fuzzy logics are fuzzifier, rule base and inference engine and defuzzifier. ...
doi:10.12783/dtetr/icca2016/5975
fatcat:3rjxr2h62zgplesbtb55posomq
A Novel Robot Motion Planning Model Based on Visual Navigation and Fuzzy Control
2017
DEStech Transactions on Social Science Education and Human Science
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In this paper, we propose the novel robot motion planning model based on the visual navigation and fuzzy control. ...
this fuzzy control technology theory, known as the fuzzy control theory. ...
some difficulties; Second, if there is not enough input and output data, these networks simply cannot work before the training that creates the fuzzy control rule and the revision rule according to the ...
doi:10.12783/dtssehs/asshm2016/8380
fatcat:skjux22e6fhg7cdlkbboo7irg4
Automatic tuning of myoelectric prostheses
1998
Journal of rehabilitation research and development
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The software package, Microprocessor Controlled Arm (MCA) Auto Tuning, is a tool for aiding both INAIL expert operators and unskilled persons in the controller parameter tuning procedure. ...
The package core consists of Fuzzy Logic Expert Systems (FLES) that embody skilled operator heuristics in the tuning of prosthesis control parameters. ...
Fuzzy methods in expert systems for
1. Hogan N . A review of the methods of processing EMG for configuration and control . ...
pmid:9704313
fatcat:ywqmp3mvp5fxra5ppqnaxqwqv4
Time series prediction of apple scab using meteorological measurements
English
2013
African Journal of Biotechnology
English
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A new prediction model for the early warning of apple scab is proposed in this study. The method is based on artificial intelligence and time series prediction. ...
The important hours of duration were determined with the feature selection methods, such as Pearson's correlation coefficients (PCC), Fisher's linear discriminant analysis (FLDA) and an adaptive neuro-fuzzy ...
ACKNOWLEDGEMENT We thank Isparta Provincial Directorate of Agriculture for experimental dataset. ...
doi:10.5897/ajb12.394
fatcat:tg56y3fgfrhifmym7vuxogmvbi
FSfRT: Forecasting System for Red Tides
2004
Applied intelligence (Boston)
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The system employs a case-based reasoning model to wrap a growing cell structures network, a radial basis function network and a set of Sugeno fuzzy models to provide an accurate prediction. ...
In situations in which the rules that determine a system are unknown, the prediction of the parameter values that determine the characteristic behaviour of the system can be a problematic task. ...
Similar fuzzy sets for one oceanographic parameter are merged to create a common fuzzy set to replace them in the rule base. ...
doi:10.1023/b:apin.0000043558.52701.b1
fatcat:ztywyqfcnrhy3a2vw5wkjktrby
State Space Modeling and Short-Term Traffic Speed Prediction Using Kalman Filter Based on ANFIS
2012
International Journal of Engineering and Technology
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Using this method, KF will be applied to the nonlinear system so Jacobian computations of Extended Kalman Filter (EKF) that is essential for nonlinear systems are not needed. ...
Another advantage of suggested method is that there is no need to design different ANFIS structure for different predict horizons in order to obtain acceptable prediction accuracy, because the error due ...
The ANFIS has five layer structure shown in Fig. 2 . For simplification, we assume the ANFIS has only two inputs and one output and two fuzzy if-then rules. ...
doi:10.7763/ijet.2012.v4.330
fatcat:f4tao5zi5fgvzm3mh4iblcszu4
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