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

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Parameter Estimation Algorithm for State Space Systems with Time-Delay Based on the Iterative Identification 基于迭代辨识的时滞状态空间系统参数估计算法
2018 10th International Conference on Modelling, Identification and Control (ICMIC) Pub Date : 2018-07-01 DOI: 10.1109/ICMIC.2018.8529846
Ya Gu, Jicheng Liu, Peiyi Zhu, Yongxin Chou
{"title":"Parameter Estimation Algorithm for State Space Systems with Time-Delay Based on the Iterative Identification","authors":"Ya Gu, Jicheng Liu, Peiyi Zhu, Yongxin Chou","doi":"10.1109/ICMIC.2018.8529846","DOIUrl":"https://doi.org/10.1109/ICMIC.2018.8529846","url":null,"abstract":"In this paper, the problem of parameter estimation for state-space systems with time-delay is studied. Associating the properties of linear transformation with shift operator, the state space system is equal to the input-output equation. The iterative parameter estimation algorithm based on the least squares is served as identifying the state delay system, and all of the data are fully utilized in each iteration, which can produce high precision parameter estimation. Simulation results illustrate that the algorithm is effective.","PeriodicalId":262938,"journal":{"name":"2018 10th International Conference on Modelling, Identification and Control (ICMIC)","volume":"32 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":"126667072","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
Research on the Blast Furnace Charge Position Tracking Based on Machine Learning Regression Model 基于机器学习回归模型的高炉炉料位置跟踪研究
2018 10th International Conference on Modelling, Identification and Control (ICMIC) Pub Date : 2018-07-01 DOI: 10.1109/ICMIC.2018.8529887
J. Duan, Weicun Zhang
{"title":"Research on the Blast Furnace Charge Position Tracking Based on Machine Learning Regression Model","authors":"J. Duan, Weicun Zhang","doi":"10.1109/ICMIC.2018.8529887","DOIUrl":"https://doi.org/10.1109/ICMIC.2018.8529887","url":null,"abstract":"In this paper, the detection data of the mechanical probe and radar are analyzed. Combined with blast furnace position system, a real-time prediction method of blast furnace charge position based on the data fusion of mechanical probe and radar detection data is proposed. A piecewise linear regression model is established, combining the periodic characteristics of the charge position of the blast furnace, the prediction regression curve of the position of the blast furnace is obtained. Then, the regression curve of the blast furnace charge position and the current working condition parameters are expressed as input. Taking the regression statistics as the weight adjustment parameter, the training input sample is constructed, and using the cross validation k nearest neighbor algorithm (KNN), the position of eight point radar is predicted in real time, and the predictive weighting coefficient is obtained.","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":"124418258","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
Non-Singular Finite-Time Adaptive Attitude Control of Rigid Spacecraft 刚性航天器非奇异有限时间自适应姿态控制
2018 10th International Conference on Modelling, Identification and Control (ICMIC) Pub Date : 2018-07-01 DOI: 10.1109/ICMIC.2018.8529957
S. Xie, Qiang Chen, Mingxuan Sun, Yi Hu
{"title":"Non-Singular Finite-Time Adaptive Attitude Control of Rigid Spacecraft","authors":"S. Xie, Qiang Chen, Mingxuan Sun, Yi Hu","doi":"10.1109/ICMIC.2018.8529957","DOIUrl":"https://doi.org/10.1109/ICMIC.2018.8529957","url":null,"abstract":"In this paper, a finite-time adaptive control method is developed for attitude stabilization of rigid spacecraft with inertia uncertainties and external disturbances. A non-singular fast terminal sliding surface is proposed to circumvent the singularity problem. Then, a finite-time controller is designed to guarantee that the attitude and angular velocity converge into a small region within a finite time. By using an adaptive update laws, no prior knowledge on the bound of uncertainty is needed. The effectiveness of the proposed method is verified through comparative simulation results.","PeriodicalId":262938,"journal":{"name":"2018 10th International Conference on Modelling, Identification and Control (ICMIC)","volume":"90 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":"121077371","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
Strong Structural Controllability of Multi-Agent Systems with Switching Topologies 具有交换拓扑的多智能体系统的强结构可控性
2018 10th International Conference on Modelling, Identification and Control (ICMIC) Pub Date : 2018-07-01 DOI: 10.1109/ICMIC.2018.8529905
Peng Liu, Tie-hua Ma
{"title":"Strong Structural Controllability of Multi-Agent Systems with Switching Topologies","authors":"Peng Liu, Tie-hua Ma","doi":"10.1109/ICMIC.2018.8529905","DOIUrl":"https://doi.org/10.1109/ICMIC.2018.8529905","url":null,"abstract":"For multi-agent systems, their controllability and structural controllability are the important properties. One or multiple agents are chosen as the leaders referring to these properties. Here, we study the strong structural controllability of multi-agent systems under switching topologies. By analyzing the information flow graph of multi-agent systems, we provide a graphical condition for switched systems. It is that the union graph satisfies input accessible and in-degree conditions for general strong structural controllability. And a necessary condition is derived which schemes the characteristic of subgraphs of the system. At last, we show the efficiency of the condition with some numerical examples.","PeriodicalId":262938,"journal":{"name":"2018 10th International Conference on Modelling, Identification and Control (ICMIC)","volume":"49 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":"129397789","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
Infrared Image Semantic Segmentation Based on Improved DeepLab and Residual Network 基于改进DeepLab和残差网络的红外图像语义分割
2018 10th International Conference on Modelling, Identification and Control (ICMIC) Pub Date : 2018-07-01 DOI: 10.1109/ICMIC.2018.8530003
Zheng-guang Xu, Jie Wang, Luyao Wang
{"title":"Infrared Image Semantic Segmentation Based on Improved DeepLab and Residual Network","authors":"Zheng-guang Xu, Jie Wang, Luyao Wang","doi":"10.1109/ICMIC.2018.8530003","DOIUrl":"https://doi.org/10.1109/ICMIC.2018.8530003","url":null,"abstract":"In the infrared temperature measurement system for non-contact online temperature detection, we establish a mapping model between grayscale image and temperature variable of electrolyte based on the principle of infrared thermography. In order to eliminate the interference of the floating material and impurities on the electrolyte image, it is necessary to accurately divide the electrolyte in the image. Therefore, this paper uses the deep learning method to construct the framework of the semantic segmentation of the aluminum electrolyte image, that is, the DeepLab framework based on the residual network ResN et-l 0 1 convolutional neural network, which is formed by the cascade of the mature modules of ResNet and improved CRFs, solving the problem of network degradation caused by network deepening. The basic structure of this network can include the following parts: First, the DeepLab framework adopts data augmentation transformation to prevent over-fitting of the network. Secondly, this framework removes the loss of semantic information. A large pooling layer uses hole convolution to calculate feature maps with higher sampling density. In addition, the ASPP (atrous spatial pyramiding pool) module performs parallel sampling with a hole convolution at different sampling rates on a given input, which is equivalent to capturing the context of the image in multiple ratios and improving the resolution of feature extraction. Finally, the improved CRF-RNN which is combined with context image information is used in the segmented processing link to smooth the noise segmentation diagram and enhance the ability of the model to capture details. The frame model of this paper can meet the requirements of image segmentation in industrial temperature measurement.","PeriodicalId":262938,"journal":{"name":"2018 10th International Conference on Modelling, Identification and Control (ICMIC)","volume":"33 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":"125380859","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
Medium Density Fiberboard Continuous Hot-Pressing Process Based on Intelligent DSC 基于智能DSC的中密度纤维板连续热压工艺
2018 10th International Conference on Modelling, Identification and Control (ICMIC) Pub Date : 2018-07-01 DOI: 10.1109/ICMIC.2018.8529945
Yugang Zhou, Liangkuan Zhu, Zibo Wang
{"title":"Medium Density Fiberboard Continuous Hot-Pressing Process Based on Intelligent DSC","authors":"Yugang Zhou, Liangkuan Zhu, Zibo Wang","doi":"10.1109/ICMIC.2018.8529945","DOIUrl":"https://doi.org/10.1109/ICMIC.2018.8529945","url":null,"abstract":"In order to guarantee slab thickness precision of medium density fiberboard (MDF), the continuous hot-pressing process based on intelligent dynamic surface control (DSC) was investigated. Firstly, a mathematic model for hydraulic servo system of the continuous hot-pressing machine was proposed. Due to the uncertain function in the model, a fuzzy logic system was introduced to approximate it. Subsequently, a slab thickness tracking controller with less complexity was developed with the help of the DSC approach. Simultaneously, an on-line adaptive law was applied to estimate the adjustable parameter vector in the fuzzy system. Finally, experimental results validated that the proposed method can ensure the MDF slab thickness precision in the hot-pressing process.","PeriodicalId":262938,"journal":{"name":"2018 10th International Conference on Modelling, Identification and Control (ICMIC)","volume":"29 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":"126052608","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
Variable Gain Super-Twisting Sliding Mode Control for Preisach Hysteresis Nonlinearity System 预滞非线性系统的变增益超扭滑模控制
2018 10th International Conference on Modelling, Identification and Control (ICMIC) Pub Date : 2018-07-01 DOI: 10.1109/ICMIC.2018.8529934
Xuehui Gao, Bo Sun, Chengyuan Zhang
{"title":"Variable Gain Super-Twisting Sliding Mode Control for Preisach Hysteresis Nonlinearity System","authors":"Xuehui Gao, Bo Sun, Chengyuan Zhang","doi":"10.1109/ICMIC.2018.8529934","DOIUrl":"https://doi.org/10.1109/ICMIC.2018.8529934","url":null,"abstract":"A Variable Gain Super-Twisting Sliding Mode control (VGSTSMC) is provided for hysteresis nonlinearity system. Firstly, the hysteresis nonlinearity is modeled through Preisach operator which is comprised of the Preisach operators. Then, the system will be transformed into the regular state space form to simplify the controller design. Afterward, the sliding manifold and three variable gains are proposed where these parameters not only can shorten the reaching time, but also can reduce the chatting of the SMC. Finally, a Lyapunov function candidate guarantees the stability of the closed-loop as well as provides the reaching time. Simulations demonstrate the effectiveness of the proposed VGSTSMC for the hysteresis nonlinear system.","PeriodicalId":262938,"journal":{"name":"2018 10th International Conference on Modelling, Identification and Control (ICMIC)","volume":"18 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":"122763866","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
Research on Flexible Flow Shop Scheduling Problem with Variable Processing Times 可变加工时间柔性流水车间调度问题研究
2018 10th International Conference on Modelling, Identification and Control (ICMIC) Pub Date : 2018-07-01 DOI: 10.1109/ICMIC.2018.8529921
Zhi-jun Gao, Meiqi Jia, Zhonghua Han, Boqi Zhu
{"title":"Research on Flexible Flow Shop Scheduling Problem with Variable Processing Times","authors":"Zhi-jun Gao, Meiqi Jia, Zhonghua Han, Boqi Zhu","doi":"10.1109/ICMIC.2018.8529921","DOIUrl":"https://doi.org/10.1109/ICMIC.2018.8529921","url":null,"abstract":"In order to solve the flexible flow shop scheduling problem with variable processing times (FFSP- VPT), this paper analyzes the choice of processing stages with variable processing times, the quality inspection of unqualified products, and the occurrence of rework. As such, the FFSP- VPT mathematical model is established, adopting the fine scheduling process, which changes the traditional rough scheduling to guide the workshop production process. In addition, it not only provides the workshop with some adjustable stages, namely, the stages with variable processing times, but also searches for the balance between processing time and rework rate so as to ensure the processing quality while minimizing the maximum completion time. Based on the traditional Shuffled Frog-Leaping Algorithm(SFLA), we introduce the self-adaptive factor into the maximum update distance of SFLA algorithm, proposing a self-adaptive shuffled frog-leaping algorithm as the global optimization algorithm. What's more, through simulation test, the test result of the proposed algorithm is compared with those of other algorithms, which verifies the effectiveness of the SFLA algorithm in solving practical FFSP- VPT problems.","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":"124999365","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
Analysis of Channel Selection Methods with Dynamic Spectrum Access Technology 基于动态频谱接入技术的信道选择方法分析
2018 10th International Conference on Modelling, Identification and Control (ICMIC) Pub Date : 2018-07-01 DOI: 10.1109/ICMIC.2018.8529984
Hui Sun, Chengrui Bai, Lei Gao, Xianyu Wang, S. Ghauri, Rui Wang
{"title":"Analysis of Channel Selection Methods with Dynamic Spectrum Access Technology","authors":"Hui Sun, Chengrui Bai, Lei Gao, Xianyu Wang, S. Ghauri, Rui Wang","doi":"10.1109/ICMIC.2018.8529984","DOIUrl":"https://doi.org/10.1109/ICMIC.2018.8529984","url":null,"abstract":"Dynamic spectrum Access (DSA) is used to make use of the spectrum in wireless network. In most situations, control channel is used as a common approach to negotiate between secondary users. However, based on this feature, the whole network can be destroyed by influencing the control channel only. This paper analyzed and simulated two channel selection methods (Random channel selection and Receiver-directed channel selection) without control channel. And we design a dynamic spectrum access environment and use different topologies to simulate and analysis the algorithms. The results prove that those methods are available. The Receiver-directed channel selection is more match to the regular control channel standards in throughput by comparisons, and the attack probability of network is decreased by the successful spectrum channel handoff.","PeriodicalId":262938,"journal":{"name":"2018 10th International Conference on Modelling, Identification and Control (ICMIC)","volume":"281 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":"123586419","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
Natural Characteristics Analysis of Power Transmission System of Electric Vehicle 电动汽车动力传动系统自然特性分析
2018 10th International Conference on Modelling, Identification and Control (ICMIC) Pub Date : 2018-07-01 DOI: 10.1109/ICMIC.2018.8529971
Guoqiang Chen, Zhifei Yang, Ruidong Xu, Shaobin Lv, Xiaofeng Li
{"title":"Natural Characteristics Analysis of Power Transmission System of Electric Vehicle","authors":"Guoqiang Chen, Zhifei Yang, Ruidong Xu, Shaobin Lv, Xiaofeng Li","doi":"10.1109/ICMIC.2018.8529971","DOIUrl":"https://doi.org/10.1109/ICMIC.2018.8529971","url":null,"abstract":"A lumped mass model is established for the problem of the torsion vibration in the power transmission system of the electric vehicle. The natural frequencies and the mode shapes of the power transmission system are calculated and analyzed. The system parameters which are most sensitive to the natural frequencies and modes are found through the sensitivity analysis of the natural characteristics of the power transmission system, which provides a theoretical basis for the dynamic modification and the proposal of the corresponding optimization scheme.","PeriodicalId":262938,"journal":{"name":"2018 10th International Conference on Modelling, Identification and Control (ICMIC)","volume":"20 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":"115062345","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
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