2017 32nd Youth Academic Annual Conference of Chinese Association of Automation (YAC)最新文献

Path optimization for open-contoured structures in Robotic Fibre Placement 机器人纤维铺放中开口结构路径优化

2017 32nd Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2017-06-30 DOI: 10.1109/YAC.2017.7967406

Min Jiang, Baolin Wu, F. Li

引用次数: 4

Research and improvement of current predictive control for the three-phase grid connected inverter 三相并网逆变器电流预测控制的研究与改进

2017 32nd Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2017-05-19 DOI: 10.1109/YAC.2017.7967379

Ying Wang, S. Quan, Liang Huang, Kang-Chin Yang, Ying Xiong, J. Quan

引用次数: 0

Research on nonlinear phenomena in H-bridge inverter using current loop proportional control with different bifurcation parameters 采用不同分岔参数的电流环比例控制的h桥逆变器非线性现象研究

2017 32nd Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2017-05-19 DOI: 10.1109/YAC.2017.7967446

Y. Xiaoling, Cai Hao, Fu Chengyang, Hu Song

引用次数: 1

Greenhouse monitoring system design based on MSP430 and king view 基于MSP430和王态视图的温室监控系统设计

2017 32nd Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2017-05-19 DOI: 10.1109/YAC.2017.7967388

L. Xia, Luo Wenhui, Su Yixin

引用次数: 3

Implementation of a four-wheel drive agricultural mobile robot for crop/soil information collection on the open field 一种四轮驱动农业移动机器人在开阔地采集作物/土壤信息的实现

2017 32nd Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2017-05-19 DOI: 10.1109/YAC.2017.7967443

Zhengqiang Fan, Quan Qiu, Zhijun Meng

引用次数: 17

Real-time myoelectric prosthetic-hand control to reject outlier motion interference using one-class classifier 基于一类分类器的实时肌电假肢手控制

2017 32nd Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2017-05-19 DOI: 10.1109/YAC.2017.7967385

Qichuan Ding, Ziyou Li, Xingang Zhao, Yongfei Xiao, Jianda Han

{"title":"Real-time myoelectric prosthetic-hand control to reject outlier motion interference using one-class classifier","authors":"Qichuan Ding, Ziyou Li, Xingang Zhao, Yongfei Xiao, Jianda Han","doi":"10.1109/YAC.2017.7967385","DOIUrl":"https://doi.org/10.1109/YAC.2017.7967385","url":null,"abstract":"Electromyography (EMG) has been popularly used as interface command to achieve a natural control for myoelectric prosthetic-hands. Traditional EMG-based recognition methods always only focus on the classification of target motion classes that were defined in the training phase, but have no ability to reject outlier motion interferences that did not present before. In this paper, a hybrid classifier that combines one one-class Gaussian classifiers and a multi-class LDA was constructed to achieve EMG-based motion classification, in which Gaussian classifiers were used to reject outlier interferences, while LDA was used to classify target motion samples. The robust hybrid classifier is easily built and has low run-time complexity. Extensive experiments were conducted to verify the performance of the proposed hybrid classifier, where 91.6% of target motion recognition accuracy and 96.5% of outlier motion rejection accuracy were respectively obtained. Finally, the hybrid classifier was involved to achieve a robust and real-time control of a myoelectric prosthetic-hand.","PeriodicalId":232358,"journal":{"name":"2017 32nd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130180165","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: 7

Robust frequency control design on micro-grid with unknown dead-zone nonlinearity 未知死区非线性微电网鲁棒频率控制设计

2017 32nd Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2017-05-19 DOI: 10.1109/YAC.2017.7967371

C. Mu, Ding Wang, Changyin Sun

引用次数: 1

Model predictive control of single phase grid-connected inverter with LC filter LC滤波单相并网逆变器模型预测控制

2017 32nd Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2017-05-19 DOI: 10.1109/YAC.2017.7967389

C. Liu, Lei Lei, Qihong Chen, Liyan Zhang, S. Quan

引用次数: 9

Nonlinear dynamic analysis of electrocardiogram on heart rate variability 心率变异性的心电图非线性动态分析

2017 32nd Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2017-05-19 DOI: 10.1109/YAC.2017.7967384

Ying Wang, Kun Wang, Lijuan Zhang

{"title":"Nonlinear dynamic analysis of electrocardiogram on heart rate variability","authors":"Ying Wang, Kun Wang, Lijuan Zhang","doi":"10.1109/YAC.2017.7967384","DOIUrl":"https://doi.org/10.1109/YAC.2017.7967384","url":null,"abstract":"The nonlinear dynamic characteristics of cardiovascular rhythms had been applied to evaluate the cardiac health by some studies. Largest Lyapunov Exponent (LLE) is the general index to depict the signals' nonlinearity and several algorithms were developed for its calculation. LLE also evaluated the nonlinearity of the heart electric activities. In previous studies, several LLE algorithms were utilized to two data formats, original ECG signal and HRV signals, arbitrarily and led to ambiguous and contradictory results. Therefore, in our study, we designed the experiments to explore the applications of two typical LLE algorithms, Wolf and Rosenstein, for ECG and HRV data formats of heart electric signals. The experiments show that Wolf and Rosenstein algorithms are both suitable for ECG signals, but only Wolf can obtain the consistent results on HRV signals. For HRV signals, a pipeline was proposed to analyze the nonlinear dynamic characteristics with LLE, Approximate Entropy and Poincaré plot after denoising and automatic segmenting of steady signals. The pipeline was applied to two HRV datasets from public database and clinical collected data, composed with healthy young and elderly subjects. Experiments achieved consistent results that the heart systems of young people are more complex and less predictable than the elderly. Furthermore, Poincaré plots give clear visual explanations for the increasing nonlinearity among three groups of clinical-healthy hearts of different ages, which offer new sight of the dynamic characteristics for the senile hearts. The pipeline is available at http://ndhrv.codeplex.com.","PeriodicalId":232358,"journal":{"name":"2017 32nd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127319551","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

Adaptive asymptotic tracking of uncertain nonlinear systems with unknown hysteresis nonlinearity 具有未知滞后非线性的不确定非线性系统的自适应渐近跟踪

2017 32nd Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2017-05-19 DOI: 10.1109/YAC.2017.7967376

Yong‐Hua Liu, Xiaoping Hu, Liangpei Huang

引用次数: 4