2018 22nd International Conference on System Theory, Control and Computing (ICSTCC)最新文献_第7页

Project and Design of Multi-Rate Loop Controllers for Fixed-Wings Aircrafts 固定翼飞机多速率回路控制器的设计与设计

2018 22nd International Conference on System Theory, Control and Computing (ICSTCC) Pub Date : 2018-10-01 DOI: 10.1109/ICSTCC.2018.8540755

M. F. Santos, D. C. Silva, M. F. Silva, V. Vidal, L. Honório, V. M. L. Lopes, L. A. Z. Silva, H. B. Rezende, J. M. S. Ribeiro, A. Cerqueira, A. Pancoti, B. A. Regina

引用次数: 3

Model Predictive Control for Switching Gain Adaptation in a Sliding Mode Controller of a DC Drive with Nonlinear Friction 非线性摩擦直流驱动滑模控制器开关增益自适应的模型预测控制

2018 22nd International Conference on System Theory, Control and Computing (ICSTCC) Pub Date : 2018-10-01 DOI: 10.1109/ICSTCC.2018.8540681

Benedikt Haus, Jan Hendrik Rähl, Paolo Mercorelli, H. Aschemann

引用次数: 3

Gain scheduling controller design for wind systems using a data driven algorithm 基于数据驱动算法的风电系统增益调度控制器设计

2018 22nd International Conference on System Theory, Control and Computing (ICSTCC) Pub Date : 2018-10-01 DOI: 10.1109/ICSTCC.2018.8540774

A. Burlibaşa, M. Barbu, E. Ceanga

引用次数: 0

Nonlinear battery modeling using continuous-time system identification methods and non-uniformly sampled data 基于连续系统辨识方法和非均匀采样数据的非线性电池建模

2018 22nd International Conference on System Theory, Control and Computing (ICSTCC) Pub Date : 2018-10-01 DOI: 10.1109/ICSTCC.2018.8540775

Markus Kneissl, C. Hametner, Markus Dohr

引用次数: 5

Discrete time reaching law based sliding mode control: a survey 基于离散时间逼近律的滑模控制研究

2018 22nd International Conference on System Theory, Control and Computing (ICSTCC) Pub Date : 2018-10-01 DOI: 10.1109/ICSTCC.2018.8540782

P. Leśniewski

引用次数: 2

Comparison of State Estimators for a Permanent Magnet Synchronous Generator 永磁同步发电机状态估计器的比较

2018 22nd International Conference on System Theory, Control and Computing (ICSTCC) Pub Date : 2018-10-01 DOI: 10.1109/ICSTCC.2018.8540746

L. Gliga, H. Chafouk, D. Popescu, C. Lupu

引用次数: 3

On the Use of Agent-Based Modeling for Smart Farming 基于agent的智能农业建模方法研究

2018 22nd International Conference on System Theory, Control and Computing (ICSTCC) Pub Date : 2018-10-01 DOI: 10.1109/ICSTCC.2018.8540760

J. Lopez-Jimenez, N. Quijano, A. Wouwer

引用次数: 2

Lung Cancer Diagnosis based on Ultrasound image processing 基于超声图像处理的肺癌诊断

2018 22nd International Conference on System Theory, Control and Computing (ICSTCC) Pub Date : 2018-10-01 DOI: 10.1109/ICSTCC.2018.8540781

A. Cristian, Rusu-Both Roxana, Dulf EvaHenrietta, Chira Romeo Ioan

{"title":"Lung Cancer Diagnosis based on Ultrasound image processing","authors":"A. Cristian, Rusu-Both Roxana, Dulf EvaHenrietta, Chira Romeo Ioan","doi":"10.1109/ICSTCC.2018.8540781","DOIUrl":"https://doi.org/10.1109/ICSTCC.2018.8540781","url":null,"abstract":"Cancer represents one of the leading causes of mortality in this century. Patients suffering from lung cancer (LC) have an average of 5 years life expectancy after diagnosis. This is due usually to late detection. The most common methods to detect lung cancer are computed tomography (CT) and magnetic resonance imaging (MRI). These investigations are invasive to the human body and are performed only based on a doctor’s recommendation, which comes usually after patients develop symptoms – hence the late detection of cancer. Nowadays transthoracic ultrasonography (TUS) and US-guided biopsy have gained a larger field in the management of patients with peripheral pulmonary nodules or masses. From the multiple ultrasonography (US) advantages which made it a wellestablished solution in the management of tumoral and nontumoral abdominal pathology, few stand out: it’s non-invasive and has reduced costs. However, until now transthoracic US is underused for lung cancer diagnosis because it can be hard to interpret to determine an accurate diagnosis. In this paper we aim to develop a software application for lung mass classification based on ultrasound image processing. This could be an important step in towards early detection of lung cancer, by introducing the transthoracic ultrasonography in the regular annual check-up, improving the life expectancy of patients or even complete recuperation.","PeriodicalId":308427,"journal":{"name":"2018 22nd International Conference on System Theory, Control and Computing (ICSTCC)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114378187","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: 2

ICSTCC 2018 List Reviewers ICSTCC 2018审稿人名单

2018 22nd International Conference on System Theory, Control and Computing (ICSTCC) Pub Date : 2018-10-01 DOI: 10.1109/icstcc.2018.8540700

引用次数: 0

Accuracy Issues in Kalman Filtering State Estimation of Stiff Continuous-Discrete Stochastic Models Arisen in Engineering Research 刚性连续离散随机模型的卡尔曼滤波状态估计精度问题在工程研究中出现

2018 22nd International Conference on System Theory, Control and Computing (ICSTCC) Pub Date : 2018-10-01 DOI: 10.1109/ICSTCC.2018.8540695

G. Kulikov, M. V. Kulikova

{"title":"Accuracy Issues in Kalman Filtering State Estimation of Stiff Continuous-Discrete Stochastic Models Arisen in Engineering Research","authors":"G. Kulikov, M. V. Kulikova","doi":"10.1109/ICSTCC.2018.8540695","DOIUrl":"https://doi.org/10.1109/ICSTCC.2018.8540695","url":null,"abstract":"This paper aims at exploring accuracy of Kalman-like filters. Its particular interest lies in estimation of stochastic systems whose drift coefficients expose a stiff behavior. The latter means that the Jacobian of the drift coefficient in such a continuous-discrete system, which is presented by an Itô-type stochastic differential equation (SDE) for modeling the plant’s dynamic behavior and a discrete-time equation for simulating its measurement process, has large eigenvalues at the solution trajectory. Here, we employ the so-called “discrete-discrete” approach, which is grounded in SDE discretization schemes, and compare the outcome accuracy of EKF-, CKF- and UKF-type methods when these are based on the Euler-Maruyama and Itô-Taylor discretizations of the strong convergence orders 0.5 and 1.5 and applied for estimating the Van der Pol oscillator and Oregonator reaction models. We evidence that state estimation errors committed in our stiff stochastic scenarios are sensitive to both the type of Kalman filtering method utilized and the SDE discretization scheme implemented. So these must be chosen carefully in accurate and robust state estimation algorithms intended for treating stiff continuous-discrete stochastic systems.","PeriodicalId":308427,"journal":{"name":"2018 22nd International Conference on System Theory, Control and Computing (ICSTCC)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130133166","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: 9