2004 IEEE International Conference on Industrial Technology, 2004. IEEE ICIT '04.最新文献_第3页

Formal evaluation and comparison of real time embedded automotive networks 实时嵌入式汽车网络的形式化评价与比较

2004 IEEE International Conference on Industrial Technology, 2004. IEEE ICIT '04. Pub Date : 2004-12-08 DOI: 10.1109/ICIT.2004.1490194

T. Razafindralambo, I. Augé-Blum

引用次数: 4

Network traffic prediction and fault detection based on adaptive linear model 基于自适应线性模型的网络流量预测与故障检测

2004 IEEE International Conference on Industrial Technology, 2004. IEEE ICIT '04. Pub Date : 2004-12-08 DOI: 10.1109/ICIT.2004.1490191

Jun Lv, Xing Li, Congsen Ran, Tao He

引用次数: 7

CRC CODEC electronic implementation of the GSM standard for the radio software CRC CODEC电子实现GSM标准的无线电软件

2004 IEEE International Conference on Industrial Technology, 2004. IEEE ICIT '04. Pub Date : 2004-12-08 DOI: 10.1109/ICIT.2004.1490790

M. Fourati, M. Toumi, A. Kachouri, N. Masmoudi, L. Kamoun

引用次数: 0

Dependability evaluation of PROFIBUS-DP networks by using a stochastic Petri net framework 基于随机Petri网框架的PROFIBUS-DP网络可靠性评估

2004 IEEE International Conference on Industrial Technology, 2004. IEEE ICIT '04. Pub Date : 2004-12-08 DOI: 10.1109/ICIT.2004.1490192

P. Portugal

引用次数: 2

The design and test of peripheral circuits of image sensor for a digital camera 数码相机图像传感器外围电路的设计与测试

2004 IEEE International Conference on Industrial Technology, 2004. IEEE ICIT '04. Pub Date : 2004-12-08 DOI: 10.1109/ICIT.2004.1490757

J. Ho, C. M. Man

引用次数: 8

High performances of fuzzy self-tuning scaling factor of PI fuzzy logic controller based on direct vector control for induction motor drive without flux measurements 基于直接矢量控制的PI模糊逻辑控制器对异步电机驱动不进行磁链测量的高性能模糊自整定比例因子

2004 IEEE International Conference on Industrial Technology, 2004. IEEE ICIT '04. Pub Date : 2004-12-08 DOI: 10.1109/ICIT.2004.1490232

K. Kouzi, L. Mokrani, M. Nait

{"title":"High performances of fuzzy self-tuning scaling factor of PI fuzzy logic controller based on direct vector control for induction motor drive without flux measurements","authors":"K. Kouzi, L. Mokrani, M. Nait","doi":"10.1109/ICIT.2004.1490232","DOIUrl":"https://doi.org/10.1109/ICIT.2004.1490232","url":null,"abstract":"This study investigates a rotor flux sliding-mode observer for a fuzzy self-tuning scaling factor of fuzzy logic controller based on direct vector control for induction motor (IM). The rotor flux sliding-mode estimator detects the rotor flux components in the two-phase stationary reference frame using the motor electrical equations. The flux estimation accuracy is guaranteed through the current observer .i.e. the error between the actual current and observed current converges to zero which ensures the accuracy of the flux estimation. In order to achieve a robust speed dynamic response even under severe variation of some key parameters such as rotor resistance/self-inductance, and inertia, a simple design of the scaling factor fuzzy tuning procedure of a fuzzy logic controller (FLC) for speed regulation is proposed. Moreover in order to improve the field-orientation robustness with respect to parameter variation, sliding-mode controller was incorporated for rotor flux regulation. The proposed scheme is recommended for applications requiring robust speed control and field-orientation even in presence of some key parameters deviation. The performance of the suggested scheme has been tested via some simulation results.","PeriodicalId":136064,"journal":{"name":"2004 IEEE International Conference on Industrial Technology, 2004. IEEE ICIT '04.","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134030322","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 14

Fuzzy inference system to inspect coating in canmaking industry 模糊推理系统在制罐工业涂料检测中的应用

2004 IEEE International Conference on Industrial Technology, 2004. IEEE ICIT '04. Pub Date : 2004-12-08 DOI: 10.1109/ICIT.2004.1490721

P. Marino, V. Pastoriza, M. Santamaría, E. Martínez

引用次数: 0

Influence of the current invertor on the emission radiation of the low pressure mercury tubular discharge used in waste water treatment by U.V irradiation 电流逆变器对紫外辐照处理废水中低压汞管排放装置发射辐射的影响

2004 IEEE International Conference on Industrial Technology, 2004. IEEE ICIT '04. Pub Date : 2004-12-08 DOI: 10.1109/ICIT.2004.1490777

B. Mrabet, A. Chammam, H. Elloumi, M. Stambouli, J. Damelincourt

引用次数: 0

Fuzzy rule extraction from a feed forward neural network by training a representative fuzzy neural network using gradient descent 利用梯度下降法训练具有代表性的模糊神经网络，从前馈神经网络中提取模糊规则

2004 IEEE International Conference on Industrial Technology, 2004. IEEE ICIT '04. Pub Date : 2004-12-08 DOI: 10.1142/S0218488505003746

R. Brouwer

{"title":"Fuzzy rule extraction from a feed forward neural network by training a representative fuzzy neural network using gradient descent","authors":"R. Brouwer","doi":"10.1142/S0218488505003746","DOIUrl":"https://doi.org/10.1142/S0218488505003746","url":null,"abstract":"Neural networks are good at representing functions or data transformations. However just as in the case of the biological brain the mathematical description of the data transformation is hidden. In the case of the human brain the transformation, in terms of rules, may be extracted by interviewing the person, in the case of the artificial neural network other approaches have to be utilized. In the case described here a second neural network that represents the transformation in terms of fuzzy rules is trained using gradient descent. The parameters that are learned are the parameters of the fuzzy sets and also the connection weights in [0, 1] between the outputs of the membership function units and the final output units. There is an output unit for each rule and consequent membership function. The fuzzy output set with the highest membership value is taken to be the output fuzzy set. The extracted rules are of the form if X/sub 0/ is small or X/sub 0/ is Medium and x/sub 1/ is large or X/sub 1/ is medium then y is large X/sub 0/ and X/sub 1/ are inputs and y is the output. The cost measure consists of several terms indicating how close the actual output is to a target output, how close the weights are to 0 and 1, and how close the output of membership values is to a 1 of n vector. The cost measure is a linear combination of these individual terms. By changing the constant multipliers the relative importance of the cost measures can be changed and studied. The method has been tried on randomly generated feedforward neural networks and also on data produced by functions with specific properties. The fuzzy network is trained using data produced by the feedforward neural network or the known function. This method can also be used in extracting rules such as control rules implicitly used by a human if input and output data is gathered from the human.","PeriodicalId":136064,"journal":{"name":"2004 IEEE International Conference on Industrial Technology, 2004. IEEE ICIT '04.","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130969151","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 12

A new approach to commutation in predictive control of switch reluctance motor 开关磁阻电机预测控制中的换相新方法

2004 IEEE International Conference on Industrial Technology, 2004. IEEE ICIT '04. Pub Date : 2004-12-08 DOI: 10.1109/ICIT.2004.1490793

A. Sadeghzadeh, Babak Nadjar Araabi

引用次数: 1