2019 2nd International Conference of Intelligent Robotic and Control Engineering (IRCE)最新文献

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Kinematics of Three-Fingered Dexterous Hands Driven by Pneumatic Artificial Muscle Based on Vector Product Method 基于矢量积法的气动人工肌肉驱动三指灵巧手运动学
Ze Zhu, Bo Fang
{"title":"Kinematics of Three-Fingered Dexterous Hands Driven by Pneumatic Artificial Muscle Based on Vector Product Method","authors":"Ze Zhu, Bo Fang","doi":"10.1109/IRCE.2019.00029","DOIUrl":"https://doi.org/10.1109/IRCE.2019.00029","url":null,"abstract":"For decades, many countries have developed a variety of multifingered dexterous hands. However, most of the multi-finger-fingers that have come out at present aim to achieve high dexterity, with a large number of joints, a very complex structure, high degree of freedom, tedious control algorithm and high cost, which is unrealistic for practical application. Therefore, this paper designed an artificial muscle-driven[1] three-finger dexterous hand, which has good flexibility[2], very light quality, large input-output ratio, low manufacturing cost, can complete complex grasping and operating tasks, high dexterity advantages.","PeriodicalId":298781,"journal":{"name":"2019 2nd International Conference of Intelligent Robotic and Control Engineering (IRCE)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134590498","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
[Copyright notice] (版权)
{"title":"[Copyright notice]","authors":"","doi":"10.1109/irce.2019.00003","DOIUrl":"https://doi.org/10.1109/irce.2019.00003","url":null,"abstract":"","PeriodicalId":298781,"journal":{"name":"2019 2nd International Conference of Intelligent Robotic and Control Engineering (IRCE)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117011109","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
Fault Tolerant Control Using a Fixed-time Second Order Sliding Mode 基于定时二阶滑模的容错控制
Yujia Wang, Muyuan Wang, Jiae Yang, Xuebo Yang, Tong Wang
{"title":"Fault Tolerant Control Using a Fixed-time Second Order Sliding Mode","authors":"Yujia Wang, Muyuan Wang, Jiae Yang, Xuebo Yang, Tong Wang","doi":"10.1109/IRCE.2019.00025","DOIUrl":"https://doi.org/10.1109/IRCE.2019.00025","url":null,"abstract":"In this article, a fault tolerant control (FTC) is proposed for a longitudinal aircraft model. A mathematic model for a pitch plane missile motion is established by considering actuator faults and system uncertainties. Subsequently, to achieve superior tracking performance compared with other sliding mode observers (SMO), a sliding model observer is designed to approximate system uncertainties and actuator faults as the lumped disturbances. Finally, a fixed-time second-order sliding mode controller is designed. Simulation results are given to show the effectiveness and advantages of the proposed method.","PeriodicalId":298781,"journal":{"name":"2019 2nd International Conference of Intelligent Robotic and Control Engineering (IRCE)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129795259","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
Digital Image Processing and Recognition in Industrial and Public Environments 工业和公共环境中的数字图像处理和识别
R. Vasil, F. Frigura-Iliasa, Mirela Iorga, H. Filipescu, M. Rogobete, M. Nen
{"title":"Digital Image Processing and Recognition in Industrial and Public Environments","authors":"R. Vasil, F. Frigura-Iliasa, Mirela Iorga, H. Filipescu, M. Rogobete, M. Nen","doi":"10.1109/IRCE.2019.00015","DOIUrl":"https://doi.org/10.1109/IRCE.2019.00015","url":null,"abstract":"Because the internet broadcasting, most photos or video streams need copyright protection or forgery detection. Nowadays, the metadata tries to embed and preserve copyright data and general information. The ownership metadata should never be removed, for an efficient protection, but practically it could be relatively easy extracted. This research proposes, based on a comparison between metadata and watermarking methods, a watermarking framework that inserts visual and hide information into digital images, instead of metadata protection. The visible watermark inserted into the host image could be removable or not, based on the objective or non-bijective embedding watermark function. A removable watermark allows the far end receiver to eliminate the visible watermark, whether it uses a framework that uses the invers embedding function. In this way, only the controlled receivers could profit by the clean photos/video stream. More of this, the hidden watermark could embed typical information that identify the owner.","PeriodicalId":298781,"journal":{"name":"2019 2nd International Conference of Intelligent Robotic and Control Engineering (IRCE)","volume":"137 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114371300","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
IRCE 2019 Commentary IRCE 2019评论
{"title":"IRCE 2019 Commentary","authors":"","doi":"10.1109/irce.2019.00001","DOIUrl":"https://doi.org/10.1109/irce.2019.00001","url":null,"abstract":"","PeriodicalId":298781,"journal":{"name":"2019 2nd International Conference of Intelligent Robotic and Control Engineering (IRCE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130001478","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
Machine Learning for Classification and Control of Cardiac Arrhythmias 心律失常分类与控制的机器学习
Sutha Subbian, Divya Govindaraju, Nambi Narayanan.S
{"title":"Machine Learning for Classification and Control of Cardiac Arrhythmias","authors":"Sutha Subbian, Divya Govindaraju, Nambi Narayanan.S","doi":"10.1109/IRCE.2019.00021","DOIUrl":"https://doi.org/10.1109/IRCE.2019.00021","url":null,"abstract":"Cardiac arrest has become a primary cause of sudden death. Commonly it is caused by cardiac arrhythmias such as Tachycardia and Bradycardia. The aim of the paper is to propose machine learning algorithm for classifying the arrhythmias accurately using Electrocardiograph (ECG) signals and Clinical data. Further, a suitable model-based control scheme is developed for controlling Bradycardia. Firstly, the best features are extracted from the data set and are used for classifications of cardiac arrhythmias using Convolution Neural Network (CNN), Support Vector Machine (SVM) and CNN-SVM (SVM). The classification accuracy is compared for the proposed Machine Learning Algorithms with training dataset and test dataset. Secondly, after classifying cardiac arrhythmia, suitable model is identified by developing various nonlinear models namely Nonlinear Auto Regressive Exogenous (NARX), Nonlinear Hammerstein-Wiener (HW) and Recurrent Neural Network (RNN) for cardiac vascular system. The performances of the developed models are compared, and best model is intended to design controller. Finally, model-based control scheme is developed using the best model and closed loop studies are carried out. The simulation studies show the feasibility of the proposed control scheme.","PeriodicalId":298781,"journal":{"name":"2019 2nd International Conference of Intelligent Robotic and Control Engineering (IRCE)","volume":"122 24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123649478","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
Preface: irce 2019 前言:自2019年起
{"title":"Preface: irce 2019","authors":"","doi":"10.1109/irce.2019.00005","DOIUrl":"https://doi.org/10.1109/irce.2019.00005","url":null,"abstract":"","PeriodicalId":298781,"journal":{"name":"2019 2nd International Conference of Intelligent Robotic and Control Engineering (IRCE)","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121242895","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
Flow Control Performance Investigation of a Load Control Valve Using Modelling Method Directly Based on Irregular Shaped Groove Parameters 基于异形槽参数直接建模的负载控制阀流量控制性能研究
Jianbin Liu, Haibo Xie, Huayong Yang
{"title":"Flow Control Performance Investigation of a Load Control Valve Using Modelling Method Directly Based on Irregular Shaped Groove Parameters","authors":"Jianbin Liu, Haibo Xie, Huayong Yang","doi":"10.1109/IRCE.2019.00024","DOIUrl":"https://doi.org/10.1109/IRCE.2019.00024","url":null,"abstract":"This paper presents the modelling method of flow control performance directly based on irregular shaped groove parameters in a load control valve. Flow control is the key performance of load control valve because it directly determines the operability of the system. For better proportional flow control ability, the orifices in load control valves are usually designed as irregular shaped grooves, which increase the modelling difficulty of the valve. Geometrical computation of the irregular shaped orifices was firstly conducted. Force balance and circuit calculation of the components and orifices were secondly considered. The model that directly based on the groove parameters of the pilot orifice and the feedback orifice were obtained. Finally, the modelling method was validated by experiment results. The modelling method of load control valve flow control performance can provide guidance for the modelling of other hydraulic valves.","PeriodicalId":298781,"journal":{"name":"2019 2nd International Conference of Intelligent Robotic and Control Engineering (IRCE)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130244567","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
Coordinated Optimization Control of Regional Traffic Signals Based on Vehicle Average Delay Model 基于车辆平均延迟模型的区域交通信号协调优化控制
H. Cao, Jie Luo
{"title":"Coordinated Optimization Control of Regional Traffic Signals Based on Vehicle Average Delay Model","authors":"H. Cao, Jie Luo","doi":"10.1109/IRCE.2019.00022","DOIUrl":"https://doi.org/10.1109/IRCE.2019.00022","url":null,"abstract":"This paper addresses the challenging problem of coordinated control of regional road network traffic signals. By analyzing the dynamic characteristics of regional road network traffic flow, we propose a regional vehicle delay model and establish the objective function of minimizing the vehicle average delay. Considering the high-dimensional characteristics of the objective function, a chaos genetic optimization algorithm is proposed to improve the efficiency of global optimization. Finally, we implement the real-world road network micro-simulation experiment to demonstrate that our proposed delay model and coordinated optimization method can effectively improve the traffic efficiency of the regional road network.","PeriodicalId":298781,"journal":{"name":"2019 2nd International Conference of Intelligent Robotic and Control Engineering (IRCE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128682886","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
Hydrodynamic Analysis On The Shape Of Bionic Fish Based On Cfd 基于Cfd的仿生鱼外形水动力分析
Chenchen Zhao, Runfeng Zhang
{"title":"Hydrodynamic Analysis On The Shape Of Bionic Fish Based On Cfd","authors":"Chenchen Zhao, Runfeng Zhang","doi":"10.1109/IRCE.2019.00012","DOIUrl":"https://doi.org/10.1109/IRCE.2019.00012","url":null,"abstract":"The research of underwater bionics technology has been paid more attention. In this paper, we established four kinds of bionic fish models adopted reverse engineering method. In order to explore the relationship between the shape and swimming velocity, we analyzed the lift-drag ratio of these models applying computational fluid dynamics (CFD) technology. Besides, the surface pressure distribution and the hydrodynamic characteristics also been studied, which can improve the kinematic performance of bionic robotic fish. Finally, the simulation results showed that the Carangidae bionic model has the optimal shape and lift-drag ratio, which laid a theoretical foundation for further engineering design and application.","PeriodicalId":298781,"journal":{"name":"2019 2nd International Conference of Intelligent Robotic and Control Engineering (IRCE)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123922831","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
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