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[PDF] Top 20 Fuzzy Iterative Learning Control in 2-D Systems

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Fuzzy Iterative Learning Control in 2-D Systems

Fuzzy Iterative Learning Control in 2-D Systems

... of Iterative Learning Control (ILC) algorithms in two dimensional ...for control of 2-D systems. In all of these algorithms, the control signal is ... See full document

3

Approximation Capabilities of Interpretable Fuzzy Inference Systems

Approximation Capabilities of Interpretable Fuzzy Inference Systems

... inference systems are widely used in system modeling for the fields of classification, regression, decision support system and control [1], ...of fuzzy inference systems have been ... See full document

8

The Adaptive Control of Nonlinear Systems Using the T-S-K Fuzzy Logic

The Adaptive Control of Nonlinear Systems Using the T-S-K Fuzzy Logic

... approaches in the proposed tracking controller architecture. A fuzzy logic-based function approximator is used for the purpose of learning system ...other fuzzy logic systems that are ... See full document

12

Air Object Height Estimation with 2-D Radars using Fuzzy Logic

Air Object Height Estimation with 2-D Radars using Fuzzy Logic

... started in early decades of 20 th century during Second World ...to control over skies and seas. The Radar technology developed in that era is still used to track air and land ...applications. ... See full document

5

Active learning to understand infectious disease models and improve policy making.

Active learning to understand infectious disease models and improve policy making.

... described in van Hoek et al [27] with 185 inputs, 100 of which are correlated transmission ...might in some cases do more harm than ...presented in Figure ...variable in panel B, a small ... See full document

10

IEC TC65WG 7TF8 1997 Januar INTERNATIONAL ELECTROTECHNICAL COMMISSION (IEC) TECHNICAL COMMITTEE No. 65: INDUSTRIAL PROCESS MEASUREMENT AND CONTROL SUB-COMMITTEE 65 B: DEVICES IEC 1131 - PROGRAMMABLE CONTROLLERS

IEC TC65WG 7TF8 1997 Januar INTERNATIONAL ELECTROTECHNICAL COMMISSION (IEC) TECHNICAL COMMITTEE No. 65: INDUSTRIAL PROCESS MEASUREMENT AND CONTROL SUB-COMMITTEE 65 B: DEVICES IEC 1131 - PROGRAMMABLE CONTROLLERS

... a fuzzy-based controller is shown in Figure ...the control difference is formed from the difference between the command variable and the controlled ...to Fuzzy Control as three input ... See full document

53

TRIANGULAR FUZZY MULTINOMIAL CONTROL CHART WITH VARIABLE SAMPLE SIZE USING α – CUTS

TRIANGULAR FUZZY MULTINOMIAL CONTROL CHART WITH VARIABLE SAMPLE SIZE USING α – CUTS

... average, fuzzy mode, and fuzzy median and α- level fuzzy-midrange, to construct the control ...variables in the above method are chosen arbitrarily and hence decision for process ... See full document

9

Produção de materiais didáticos hipermídia para educação a distância na formação de gestores

Produção de materiais didáticos hipermídia para educação a distância na formação de gestores

... This research is a result of an applied research that aims to investigate the conceptual theoretical presuppositions necessary to create a conceptual model enough to produce hypermedia didactic material to be used to the ... See full document

168

Uniform and Non-Uniform Single Image Deblurring Based on Sparse Representation and Adaptive Dictionary Learning

Uniform and Non-Uniform Single Image Deblurring Based on Sparse Representation and Adaptive Dictionary Learning

... based iterative deblurring method is presented for single image deblurring under uniform and non-uniform motion ...and iterative deblurring scheme together significantly improves the deblurring performance ... See full document

14

Fuzzy Logic Controller for Static Synchronous Series Compensator with Energy Storage System for Transient Stability Analysis

Fuzzy Logic Controller for Static Synchronous Series Compensator with Energy Storage System for Transient Stability Analysis

... condition in a very fast manner and this unique feature of FACTS can be exploited to improve the stability of a power system (Panda, 2010; Kumkratug, ...documented in the ...installed in series ... See full document

6

Enhancing E-learning platforms with social networks mining

Enhancing E-learning platforms with social networks mining

... them. In or- der to achieve this goal, the architecture was proposed taking into account the content recommendation based on the current learning process of the ...tagging systems were ...approach. ... See full document

56

BAR, Braz. Adm. Rev.  vol.11 número1

BAR, Braz. Adm. Rev. vol.11 número1

... different learning processes. Subsystems engineering designs have to be gathered in order to identify incidental ...these learning processes and may be realized just after the system is in ... See full document

21

A New Iterative Solution Method for Solving Multiple Linear Systems

A New Iterative Solution Method for Solving Multiple Linear Systems

... an iterative method for solving the linear systems (2) with the some advantages over the existing methods, see [9- 11], for more ...details. In [12], Tony ... See full document

6

Optimized Fuzzy Logic for Motion Control

Optimized Fuzzy Logic for Motion Control

... As shown in Fig. 3, the input voltage from F/V through SCXI 1122 is accessed by analog input (Ai) channel. This analog voltage is converted into the corresponding speed using adders and multipliers. First DBL ... See full document

8

FUZZY LOGIC AS A TOOL FOR UNCERTAINTY, ROBUSTNESS AND RELIABILITY ANALYSES OF MECHANICAL SYSTEMS

FUZZY LOGIC AS A TOOL FOR UNCERTAINTY, ROBUSTNESS AND RELIABILITY ANALYSES OF MECHANICAL SYSTEMS

... evaluate fuzzy logic as a tool for uncertainty, robustness and reliability analyses of mechanical ...systems. In this sense, fuzzy logic approaches are used on various design scenarios, such ... See full document

111

Geração genética de bases de conhecimento fuzzy: novas perspectivas

Geração genética de bases de conhecimento fuzzy: novas perspectivas

... Machine learning is concerned with the development of methods for the extraction of patterns from data in order to make intelligent decisions based on these ...supervised learning task, is an ... See full document

181

Lat. Am. j. solids struct.  vol.9 número1

Lat. Am. j. solids struct. vol.9 número1

... expert systems using linguistic variables to create a rule ...concepts. In his works, Zadeh stated the so-called “Principle of Incompatibility”, which can be verified in other areas of ...of ... See full document

20

An iterative frequency-domain decision feedback receiver for CDMA systems

An iterative frequency-domain decision feedback receiver for CDMA systems

... In this section, we present a set of performance results con- cerning the proposed receiver structure. We consider the down- link transmission within a DS-CDMA system with spreading factor K = 16 and M = 64 data ... See full document

5

Access Control in Weakly Consistent Systems

Access Control in Weakly Consistent Systems

... clients in United States and Europe, would have servers in the United States and in Europe, as to lower latency for all users, inde- pendently of their ...arises in this environment, formally ... See full document

97

Optimal Fuzzy Control with Application to Discounted Cost Production Inventory Planning Problem

Optimal Fuzzy Control with Application to Discounted Cost Production Inventory Planning Problem

... of fuzzy systems has undoubtedly been the area of fuzzy ...control. Fuzzy control theory has been applied to industrial ...of fuzzy control includes the connection ... See full document

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