2018 10th International Conference on Modelling, Identification and Control (ICMIC)最新文献_第3页

Fuzzy Evidence Functions and Synthesis Rule Using Weighted Distance Testing in Process Industry 过程工业中模糊证据函数与加权距离检验综合规则

2018 10th International Conference on Modelling, Identification and Control (ICMIC) Pub Date : 2018-07-01 DOI: 10.1109/ICMIC.2018.8529868

X. Wang, Zetao Lil, Xiaoyong Yang, Jing Yang

引用次数: 0

Invertibility of Nonlinear Interconnected System 非线性互联系统的可逆性

2018 10th International Conference on Modelling, Identification and Control (ICMIC) Pub Date : 2018-07-01 DOI: 10.1109/ICMIC.2018.8529973

Mei Zhang, Ze-tao Li, B. Dahhou, M. Cabassud

引用次数: 0

Unity3D Serious Game Engine for High Fidelity Virtual Reality Training of Remotely-Operated Vehicle Pilot Unity3D游戏引擎的高保真虚拟现实训练遥控车辆驾驶员

2018 10th International Conference on Modelling, Identification and Control (ICMIC) Pub Date : 2018-07-01 DOI: 10.1109/ICMIC.2018.8529900

C. Chin, Nurshaqinah B. Kamsani, X. Zhong, Rongxin Cui, Chenguang Yang

引用次数: 10

Research on Application of Optimized PID Control Based on Particle Swarm Optimization in Reactive Power Compensation Device 基于粒子群优化的PID优化控制在无功补偿装置中的应用研究

2018 10th International Conference on Modelling, Identification and Control (ICMIC) Pub Date : 2018-07-01 DOI: 10.1109/ICMIC.2018.8529923

F. Bai, Minhui Wang

引用次数: 0

A Novel LIDAR Classification Method Based on Ensemble Random Forest and D-S Evidence Synthesis 一种基于集合随机森林和D-S证据合成的激光雷达分类新方法

2018 10th International Conference on Modelling, Identification and Control (ICMIC) Pub Date : 2018-07-01 DOI: 10.1109/ICMIC.2018.8529874

Dawei Li, Ye Chen

{"title":"A Novel LIDAR Classification Method Based on Ensemble Random Forest and D-S Evidence Synthesis","authors":"Dawei Li, Ye Chen","doi":"10.1109/ICMIC.2018.8529874","DOIUrl":"https://doi.org/10.1109/ICMIC.2018.8529874","url":null,"abstract":"Light detection and ranging system (LIDAR) can quickly, proactively and automatically acquire point cloud data of large-scale area, which contains three-dimensional land-cover object information, meanwhile the multispectral cameras can acquire multi-band spectral information. This paper extracts and selects sixteen features according to point cloud data and spectral images, then these features are divided into five groups, such as height feature subset, intensity subset, spectral subset and texture subset. The weight of each group of features in the decision-making process is characterized by the features' importance. This paper introduces evidence synthesis theory to overcome the evidence conflict in decision-making and to improve decision precision. Final land-cover objects labels are predicted through ensemble algorithm based on random forest and weighted D-S evidence synthesis. The experiment results indicate that classification performance of joint feature set is superior to single feature set, compound classification framework can optimize final classification results. The overall accuracy reaches to 94 % and other parameters can also be improved more or less.","PeriodicalId":262938,"journal":{"name":"2018 10th International Conference on Modelling, Identification and Control (ICMIC)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130364335","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: 0

ESO-Based Adaptive Sliding Control for Nonlinear Servo System with Unknown Disturbance and Uncertainties 未知干扰和不确定性非线性伺服系统的eso自适应滑动控制

2018 10th International Conference on Modelling, Identification and Control (ICMIC) Pub Date : 2018-07-01 DOI: 10.1109/ICMIC.2018.8529902

Shubo Wang, Haisheng Yu, Xuehui Gao, Xudong Liu

引用次数: 3

Unbalance Loads Compensation With STATCOM Based on PR Controller and Notch Filter 基于PR控制器和陷波滤波器的STATCOM不平衡负载补偿

2018 10th International Conference on Modelling, Identification and Control (ICMIC) Pub Date : 2018-07-01 DOI: 10.1109/ICMIC.2018.8529928

Zhihao Zhang, Yanmin Liu, H. Guan

{"title":"Unbalance Loads Compensation With STATCOM Based on PR Controller and Notch Filter","authors":"Zhihao Zhang, Yanmin Liu, H. Guan","doi":"10.1109/ICMIC.2018.8529928","DOIUrl":"https://doi.org/10.1109/ICMIC.2018.8529928","url":null,"abstract":"The STATCOM based on four-leg voltage source converter is used to compensate the reactive currents, harmonic currents and unbalance loads currents of the network. When the STATCOM compensates the unbalance loads of the network, the DC voltage will contain the second harmonic. The second harmonic has influence on the current control loop, and the network currents will contain the third harmonic and negative currents. The direct-axis component and the quadrature-axis component currents contain the second harmonic which has influence on dynamic characteristics of the current control loop. In this paper, the mathematical model of the STATCOM is established. And a novel control strategy based on PR control and notch filter is proposed. The notch filter suppresses the second harmonic in the DC voltage, and the negative currents and harmonics the STATCOM generated is filtered. With the PR control method, the second harmonic of the direct-axis component and the quadrature-axis component currents could be tracked precisely in real time. And the direct-axis component and the quadrature-axis component currents are compensated precisely and dynamic characteristics could be guaranteed. With the control strategy, the DC capacitor is used to buffer the unbalance power, and the STATCOM compensates the unbalance currents precisely. Simulation and experimental results verify the effectiveness of the proposed control system.","PeriodicalId":262938,"journal":{"name":"2018 10th International Conference on Modelling, Identification and Control (ICMIC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126583676","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

Bio-Inspired Inverse Internal Model Feedforward Control for UAV Photoelectric Platform 无人机光电平台仿生逆内模前馈控制

2018 10th International Conference on Modelling, Identification and Control (ICMIC) Pub Date : 2018-07-01 DOI: 10.1109/ICMIC.2018.8529912

Zhide Zhang, Zhengjie Wang, Shuo Zhang

引用次数: 1

Research on Network Topology Discovery Algorithm for Internet of Things Based on Multi-Protocol 基于多协议的物联网网络拓扑发现算法研究

2018 10th International Conference on Modelling, Identification and Control (ICMIC) Pub Date : 2018-07-01 DOI: 10.1109/ICMIC.2018.8529955

S. Zhou, Lingguo Cui, Chen Fang, S. Chai

{"title":"Research on Network Topology Discovery Algorithm for Internet of Things Based on Multi-Protocol","authors":"S. Zhou, Lingguo Cui, Chen Fang, S. Chai","doi":"10.1109/ICMIC.2018.8529955","DOIUrl":"https://doi.org/10.1109/ICMIC.2018.8529955","url":null,"abstract":"Network topology discovery is an important method for the security situation perception of network system. The complexity and importance of the Internet of things system is increasing with each passing day. However, the existing network topology discovery method based on single protocol has the problem of low discovery efficiency and poor network adaptability. In order to solve these issues, a topology discovery algorithm based on multi-protocol is proposed in this paper. At first, the advantages and disadvantages of the topology discovery method based on a single protocol are analyzed. Next, the existing topology discovery algorithm based on the SNMP protocol and the LLDP protocol are improved. Then, the principle of multi-protocol topology discovery algorithm is elaborated. The algorithm is based on SNMP protocol and supplemented by LLDP and ICMP protocol. Experimental results show that the topology discovery algorithm based on multi-protocol has better network adaptability and detection integrity than the single protocol based topology discovery algorithm. Therefore, the multi-protocol topology discovery algorithm is feasible and advantageous.","PeriodicalId":262938,"journal":{"name":"2018 10th International Conference on Modelling, Identification and Control (ICMIC)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126958523","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

Robust SMC for Uncertain Descriptor Time-Delay Systems: A Linear Switching Surface Approach 不确定广义时滞系统的鲁棒SMC:一种线性切换曲面方法

2018 10th International Conference on Modelling, Identification and Control (ICMIC) Pub Date : 2018-07-01 DOI: 10.1109/ICMIC.2018.8529864

Zhen Liu, C. Gao, Huimin Xiao

引用次数: 0