2013 IEEE Symposium on Computational Intelligence in Control and Automation (CICA)最新文献_第3页

Fault diagnosis of induction motor using CWT and rough-set theory 基于CWT和粗糙集理论的异步电动机故障诊断

2013 IEEE Symposium on Computational Intelligence in Control and Automation (CICA) Pub Date : 2013-04-16 DOI: 10.1109/CICA.2013.6611658

P. Konar, M. Saha, J. Sil, P. Chattopadhyay

引用次数: 8

Study on a combined scheme by using T-S fuzzy and TSMC approaches 基于T-S模糊和TSMC方法的组合方案研究

2013 IEEE Symposium on Computational Intelligence in Control and Automation (CICA) Pub Date : 2013-04-16 DOI: 10.1109/CICA.2013.6611661

Sheng-Dong Xu, Yew-Wen Liang, Kuo-Chin Wang, Chih‐Chiang Chen

引用次数: 0

A new eye gaze detection algorithm using PCA features and recurrent neural networks 一种新的基于PCA特征和递归神经网络的人眼注视检测算法

2013 IEEE Symposium on Computational Intelligence in Control and Automation (CICA) Pub Date : 2013-04-16 DOI: 10.1109/CICA.2013.6611659

Thai-Hoang Huynh

引用次数: 4

Enhanced modeling of distillation columns using integrated multiscale latent variable regression 利用集成多尺度潜变量回归增强精馏塔建模

2013 IEEE Symposium on Computational Intelligence in Control and Automation (CICA) Pub Date : 2013-04-16 DOI: 10.1109/CICA.2013.6611666

Muddu Madakyaru, M. Nounou, H. Nounou

{"title":"Enhanced modeling of distillation columns using integrated multiscale latent variable regression","authors":"Muddu Madakyaru, M. Nounou, H. Nounou","doi":"10.1109/CICA.2013.6611666","DOIUrl":"https://doi.org/10.1109/CICA.2013.6611666","url":null,"abstract":"Operating distillation columns under control requires inferring the compositions of the distillate and bottom streams (which are challenging to measure) from other more easily measured variables, such as temperatures at different trays of the column. Models that can be used in this regard are called inferential models. Commonly used inferential models include latent variable regression (LVR) techniques, such as principal component regression (PCR), partial least square (PLS), and regularized canonical correlation analysis (RCCA). Unfortunately, measured practical data are usually contaminated with errors, which degrade the prediction accuracy of inferential models. Therefore, noisy measurements need to be filtered to enhance the prediction ability of these models. Wavelet-based multiscale filtering has been shown to be a powerful denoising tool. In this work, the advantages of multiscale filtering are utilized to enhance the prediction accuracy of LVR models by developing an integrated multiscale LVR (IMSLVR) modeling algorithm that integrates modeling and filtering. The idea behind the IMSLVR modeling algorithm is to filter the process data at different decomposition levels, model the filtered data from each level, and then select the LVR model that optimizes a model selection criterion. The performance of the developed IMSLVR algorithm is illustrated using two examples, one using synthetic data and the other using simulated distillation column data. Both examples clearly demonstrate the effectiveness of the IMSLVR algorithm.","PeriodicalId":424622,"journal":{"name":"2013 IEEE Symposium on Computational Intelligence in Control and Automation (CICA)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115570954","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: 4

Output tracking of fractional-order nonlinear systems via TS-FCMAC 基于TS-FCMAC的分数阶非线性系统输出跟踪

2013 IEEE Symposium on Computational Intelligence in Control and Automation (CICA) Pub Date : 2013-04-16 DOI: 10.1109/CICA.2013.6611663

Tung-Sheng Chiang, Chian-Song Chiu

引用次数: 0

Application of delay-dependent adaptive control to a continuous stirred tank reactor 延迟相关自适应控制在连续搅拌槽式反应器中的应用

2013 IEEE Symposium on Computational Intelligence in Control and Automation (CICA) Pub Date : 2013-04-16 DOI: 10.1109/CICA.2013.6611675

H. Nounou, M. Nounou

引用次数: 4

Smart 3D pointing device based on MEMS sensor and bluetooth low energy 基于MEMS传感器和低功耗蓝牙的智能3D指向装置

2013 IEEE Symposium on Computational Intelligence in Control and Automation (CICA) Pub Date : 2013-04-16 DOI: 10.1109/CICA.2013.6611686

K. Židek, J. Pitel’

引用次数: 13

Design and implementation of fuzzy-logic based obstacle-avoidance and target-reaching algorithms on NI's embedded-FPGA robotic platform 基于模糊逻辑的避障与目标到达算法在NI嵌入式fpga机器人平台上的设计与实现

2013 IEEE Symposium on Computational Intelligence in Control and Automation (CICA) Pub Date : 2013-04-16 DOI: 10.1109/CICA.2013.6611679

M. Mysorewala, Khaled Alshehri, Eyad Alkhayat, Adnan Al-Ghusain, Omar Al-Yagoub

{"title":"Design and implementation of fuzzy-logic based obstacle-avoidance and target-reaching algorithms on NI's embedded-FPGA robotic platform","authors":"M. Mysorewala, Khaled Alshehri, Eyad Alkhayat, Adnan Al-Ghusain, Omar Al-Yagoub","doi":"10.1109/CICA.2013.6611679","DOIUrl":"https://doi.org/10.1109/CICA.2013.6611679","url":null,"abstract":"In this work we design, simulate and implement two fuzzy-logic based algorithms for mobile robots: one for obstacle avoidance, and another one with the combined objective of avoiding obstacles and as well as reaching a pre-defined target point in an unknown environment. The hardware used in this project is the National Instruments (NI)'s embedded robotic platform which houses the SBRIO (Single-board Reconfigurable Input-Output) that includes a powerful real-time controller, and a field programmable gate array (FPGA). For obstacle avoidance the robot has only one rotating ultrasonic sensor on the front side. The software is implemented using high-level Lab VIEW modules for embedded FPGA and real-time programming. Results show the key advantages of this new approach which is its accuracy, simplicity and quicker reaction to sudden changes especially when the robot is moving in an unstructured environment. This is due to the fact that the approach accounts for the size and shape of the robot and generates the speed of motion proportional to the distance from the obstacle.","PeriodicalId":424622,"journal":{"name":"2013 IEEE Symposium on Computational Intelligence in Control and Automation (CICA)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131771090","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: 5

A continuous-time recurrent neural network for real-time support vector regression 实时支持向量回归的连续时间递归神经网络

2013 IEEE Symposium on Computational Intelligence in Control and Automation (CICA) Pub Date : 2013-04-16 DOI: 10.1109/CICA.2013.6611683

Qingshan Liu, Yan Zhao

引用次数: 3

Fixed-order H∞ loop-shaping synthesis: A time domain approach 定阶H∞环整形合成:一种时域方法

2013 IEEE Symposium on Computational Intelligence in Control and Automation (CICA) Pub Date : 2013-04-16 DOI: 10.1109/CICA.2013.6611672

P. Feyel, G. Duc, G. Sandou

引用次数: 3