2018 International Conference on Control, Automation and Information Sciences (ICCAIS)最新文献_第3页

Multistatic Doppler-Based Marine Ships Tracking 基于多波多普勒的船舶跟踪

2018 International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2018-10-01 DOI: 10.1109/ICCAIS.2018.8570690

Cong-Thanh Do, Hoa Van Nguyen

引用次数: 1

Experimental Study of ADRC Based Heading Control of Underwater Flight Vehicles 基于自抗扰控制器的水下飞行器航向控制实验研究

2018 International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2018-10-01 DOI: 10.1109/ICCAIS.2018.8570617

Tianhai Zheng, Zhengping Feng, Shuo Zhao, Wanjun Pan

引用次数: 0

L1 Adaptive Control for Tandem-Rotor Helicopter with Anti-Disturbance Capability 具有抗扰动能力的串联旋翼直升机L1自适应控制

2018 International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2018-10-01 DOI: 10.1109/ICCAIS.2018.8570578

L. Gaoyuan, Wu Mei, A. Ashraf

{"title":"L1 Adaptive Control for Tandem-Rotor Helicopter with Anti-Disturbance Capability","authors":"L. Gaoyuan, Wu Mei, A. Ashraf","doi":"10.1109/ICCAIS.2018.8570578","DOIUrl":"https://doi.org/10.1109/ICCAIS.2018.8570578","url":null,"abstract":"The tandem-rotor helicopters have high use value both in military and civilian fields. However, few studies have been conducted in order to develop controllers for tandem-rotor helicopters. Because the coupling between control channels is complicated and application context are usually with complex disturbance, so the robustness and adaptive ability of its control system is crucial. The brilliant performance of $L$1adaptive control theory has been verified in the design of control system of fixed wing. In this paper, we build the mathematical model of tandem-rotor helicopter with stability augmentation system based on LQR method and design the control structure based on $L$1adaptive control theory. We add artificial disturbance to the model to simulate the situation of parameter uncertainty and external interference, to verify the controller's tolerance of disturbance. The simulation results show that the $L$1adaptive theory can be applied to design the control system of tandem-rotor helicopters and it will improve the deficiency of traditional adaptive controller and has good robustness and transient characteristics.","PeriodicalId":223618,"journal":{"name":"2018 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"83 12 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":"126259053","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: 1

Modeling and Estimation of Subsurface Transport Profile for Methane Release Using H-Infinity Filtering 基于h -∞滤波的甲烷释放地下输运剖面建模与估算

2018 International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2018-10-01 DOI: 10.1109/ICCAIS.2018.8570433

S. K. Nayak, P. Tamboli, S. Duttagupta

引用次数: 0

Incipient Fault Diagnosis Based on DNN with Transfer Learning 基于迁移学习的DNN早期故障诊断

2018 International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2018-10-01 DOI: 10.1109/ICCAIS.2018.8570702

Danmin Chen, Shuai Yang, F. Zhou

{"title":"Incipient Fault Diagnosis Based on DNN with Transfer Learning","authors":"Danmin Chen, Shuai Yang, F. Zhou","doi":"10.1109/ICCAIS.2018.8570702","DOIUrl":"https://doi.org/10.1109/ICCAIS.2018.8570702","url":null,"abstract":"Diagnosis of incipient fault is critical for safe operation of the system because it can prevent disastrous accidents from happening by diagnosing the early fault before deterioration. Deep learning is efficient in feature extraction but it requires a large number of samples to train traditional deep neural network (DNN). It is thus inevitable that the efficiency of DNN will be affected when it is applied to incipient fault diagnosis for there are usually a very limited number of incipient fault samples. Furthermore, a large amount of information involved in significant fault samples was not adequately used for incipient fault diagnosis. To solve this problem, this paper proposes an incipient fault diagnosis model with DNN-based transfer learning. The model can extract fault feature involved in a large number of significant fault samples and apply it to extract insignificant fault feature with a small number of incipient fault samples. In this way, the proposed transfer learning method can efficiently diagnose incipient fault in the case when only a limited number of incipient fault data is available. The efficiency of the proposed model is demonstrated by utilizing the Case Western Reserve University bearing data set.","PeriodicalId":223618,"journal":{"name":"2018 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"76 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":"115272171","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: 15

A New Robust Student's t Based SINS/GPS Integrated Navigation Method 一种新的基于学生t的SINS/GPS组合导航方法

2018 International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2018-10-01 DOI: 10.1109/ICCAIS.2018.8570693

Guangle Jia, Yonggang Zhang, Yulong Huang, Mingming Bai, Guoqing Wang

引用次数: 2

Heading-Parametrized Multiple Model Method for Bearing-Only Filtering 单方位滤波的航向参数化多模型方法

2018 International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2018-10-01 DOI: 10.1109/ICCAIS.2018.8570545

M. Mallick, Yanjun Yan, S. Arulampalam

引用次数: 0

The Analysis Between Traditional Convolution Neural Network and CapsuleNet 传统卷积神经网络与荚膜网络的对比分析

2018 International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2018-10-01 DOI: 10.1109/ICCAIS.2018.8570600

Feng Yang, Wentong Li, Weikang Tang, Xinliang Wu

{"title":"The Analysis Between Traditional Convolution Neural Network and CapsuleNet","authors":"Feng Yang, Wentong Li, Weikang Tang, Xinliang Wu","doi":"10.1109/ICCAIS.2018.8570600","DOIUrl":"https://doi.org/10.1109/ICCAIS.2018.8570600","url":null,"abstract":"Convolution neural networks(CNNs) have made a series of breakthroughs in the fields of autonomous driving, robotics, medical treatment and so on. The powerful feature learning and classification abilities of CNNs have attracted wide attention of scholars. With the improvement of the networks structure and the increasing of the networks depth, the performance of tasks such as image classification, detection, recognition, and segmentation has been improved greatly. Recently, CapsuleNet, which is different from CNNs, has been proposed. In CapsuleNet, vectors replace traditional scalar points to better characterize the relationships between feature information and acquire more attributes of things. In this paper, the basic structure and algorithm principle of classical CNN models were described firstly, and then the basic neural network, network structure, parameter update and distribution process for the CapsuleNet model were analyzed and summarized. Finally, several group of training experiments were conducted to compare and analyze the image classification and feature expression canabilities of CansuleNet and CNN models.","PeriodicalId":223618,"journal":{"name":"2018 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"25 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":"134623452","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

A Voice Activity Detection Method Based on DWT-MVNPDF 基于DWT-MVNPDF的语音活动检测方法

2018 International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2018-10-01 DOI: 10.1109/ICCAIS.2018.8570576

Chen Li, Feiyang Wang, Lihua Tian, Hui Song, Xuebo Meng

引用次数: 0

Posterior Cramér-Rao Lower Bound for Angle-Only Filtering in 3D 三维纯角度滤波的后验cram<s:1> - rao下界

2018 International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2018-10-01 DOI: 10.1109/ICCAIS.2018.8570321

M. Mallick, S. Arulampalam, Yanjun Yan

引用次数: 2