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2018 33rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)最新文献

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Discrete sliding mode guidance law considering dynamic characteristics for autopilot 考虑自动驾驶仪动态特性的离散滑模制导律
2018 33rd Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2018-05-18 DOI: 10.1109/YAC.2018.8406350
Yunxi Zhang, Jia Liu, Wenyu Lian, Lingbo Yang
{"title":"Discrete sliding mode guidance law considering dynamic characteristics for autopilot","authors":"Yunxi Zhang, Jia Liu, Wenyu Lian, Lingbo Yang","doi":"10.1109/YAC.2018.8406350","DOIUrl":"https://doi.org/10.1109/YAC.2018.8406350","url":null,"abstract":"Aiming at the related problems of discrete guidance law, the design of the dynamic delay characteristic of missile autopilots is considered as discrete finite time convergent sliding mode guidance law for the first-order inertial link. Firstly, the discrete guidance equation considering the dynamic characteristics of autopilot was derived; secondly, the discrete sliding mode variable structure guidance law was analyzed; thirdly, the finite time convergence characteristic of the designed guidance law was analyzed and proved. The simulation results show that the designed discrete sliding mode guidance law is convergent in finite time, which ensures the stability of guidance and improves the precision of guidance.","PeriodicalId":226586,"journal":{"name":"2018 33rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131767241","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
Boundary constrained control of a flexible Timoshenko arm 边界限制了对灵活的铁木申科手臂的控制
2018 33rd Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2018-05-18 DOI: 10.1109/YAC.2018.8406346
Yonghao Ma, Zhijia Zhao, Xuejing Lan, Xiuyu He, Wei He
{"title":"Boundary constrained control of a flexible Timoshenko arm","authors":"Yonghao Ma, Zhijia Zhao, Xuejing Lan, Xiuyu He, Wei He","doi":"10.1109/YAC.2018.8406346","DOIUrl":"https://doi.org/10.1109/YAC.2018.8406346","url":null,"abstract":"In this paper, we address the vibration control and angle positioning problem of a distributed parameter flexible Timoshenko arm system in the presence of input saturation constraint. The smooth hyperbolic tangent function is adopted to develop boundary controls for regulating the vibration and shear deformation, achieving the angle tracking and restricting the control input in the specified area. The proposed controls are able to make sure that the robotic manipulator is placed in the desired angular. Finally, simulation results are demonstrated for control performance verification.","PeriodicalId":226586,"journal":{"name":"2018 33rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125298331","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 diagnosis of batch process based on denoising sparse auto encoder 基于去噪稀疏自编码器的批处理故障诊断
2018 33rd Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2018-05-18 DOI: 10.1109/YAC.2018.8406474
Xuejin Gao, Hao Wang, Huihui Gao, Xichang Wang, Zidong Xu
{"title":"Fault diagnosis of batch process based on denoising sparse auto encoder","authors":"Xuejin Gao, Hao Wang, Huihui Gao, Xichang Wang, Zidong Xu","doi":"10.1109/YAC.2018.8406474","DOIUrl":"https://doi.org/10.1109/YAC.2018.8406474","url":null,"abstract":"Sparse auto encoder(SAE) can reduces information loss and extract the meaningful feature by learning the deep structure of complex data. This paper presents a novel SAE based semi-supervised feature learning method for fault diagnosis of batch process which includes two stages, namely, unsupervised pre-training stage and supervised tuning stage. At the unsupervised pre-training stage, denoising SAE(DSAE) is utilized by introducing denoising auto encoder into SAE to improve the robustness of network. At the supervised tuning stage, the pretrained DSAE netwrok is optimized using back propagation algorithm to improve the accuracy of classification. The proposed method is validated on penicillin fermentation simulation experiment and Escherichia coli fermentation experiment. Experimental results show that the proposed approach achieves good fault diagnostic performance and is superirior to the traditional fault diagnosis method.","PeriodicalId":226586,"journal":{"name":"2018 33rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"475 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129606080","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
Comparison of model reduction methods for very flexible aircraft 非常灵活飞机模型简化方法的比较
2018 33rd Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2018-05-18 DOI: 10.1109/YAC.2018.8406416
Hao Lei, Liang Xu, Boyi Chen, Yuping Lu, Mingmin Sun
{"title":"Comparison of model reduction methods for very flexible aircraft","authors":"Hao Lei, Liang Xu, Boyi Chen, Yuping Lu, Mingmin Sun","doi":"10.1109/YAC.2018.8406416","DOIUrl":"https://doi.org/10.1109/YAC.2018.8406416","url":null,"abstract":"This paper deals with the model reduction methods for very flexible aircraft (VFA). Such aircraft is characterized by strong coupling between rigid motion and flexible motion, resulting in a very high order system for controll design. Recently released high-fidelity Vulture model of 707 order is chosen to be a typical example of VFA and is regarded as the reference model. Then three model reduction methods: balanced truncation method, balanced residual method and optimal hankel norm approximation are presented. Finally, numerical simulation is used to illustrate the characteristic of VFA and determine the best method for model reduction of VFA. In addition, the relationship between model error and model order is given. Both frequency domain and time domain analysis verify the reduced model of order 80 using balanced singular perturbation method is sufficient to maintain the accuracy of the full model.","PeriodicalId":226586,"journal":{"name":"2018 33rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125916388","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
Aircraft recognition in remote sensing images based on deep learning 基于深度学习的遥感图像飞机识别
2018 33rd Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2018-05-18 DOI: 10.1109/YAC.2018.8406498
Jiaxi Lin, Xinde Li, Hong Pan
{"title":"Aircraft recognition in remote sensing images based on deep learning","authors":"Jiaxi Lin, Xinde Li, Hong Pan","doi":"10.1109/YAC.2018.8406498","DOIUrl":"https://doi.org/10.1109/YAC.2018.8406498","url":null,"abstract":"Object recognition is one of the fundamental issues in the field of computer vision. In traditional methods, invariant features are extracted from segmented targets for recognition. However, there is no common method for segmentation of aircraft targets so far due to the complex backgrounds, illuminations, noise and other practical factors. Therefore, in this paper, we propose a method for aircraft identification in remote sensing images based on HOG and deep learning features. We train two classifiers, one is the SVM classifier based on HOG feature, and the other is a classifier based on deep convolutional neural network VGGNet. First, we use the SVM classifier to identify the aircraft in the picture roughly, then we use the deep learning classifier to exclude misidentified targets. In this way, this coarse to fine framework can significantly improve the speed and accuracy of aircraft recognition in remote sensing images. At the same time, our method has a better generalization capability than the traditional methods. Experimental results demonstrate the robustness of our method.","PeriodicalId":226586,"journal":{"name":"2018 33rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132818476","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
Segnet-based gland segmentation from colon cancer histology images 基于节段的结肠癌组织学图像腺体分割
2018 33rd Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2018-05-18 DOI: 10.1109/YAC.2018.8406531
Jing Tang, Jun Yu Li, Xiangping Xu
{"title":"Segnet-based gland segmentation from colon cancer histology images","authors":"Jing Tang, Jun Yu Li, Xiangping Xu","doi":"10.1109/YAC.2018.8406531","DOIUrl":"https://doi.org/10.1109/YAC.2018.8406531","url":null,"abstract":"The morphology of glands is the main basis of colon cancer diagnosis and accurate segmentation of glands from histology images is a prerequisite for correct clinical diagnosis. A gland segmentation method based on Segnet is proposed in this paper. First, the Warwick-QU dataset is used and augmented for training Segnet. Second, the network parameters are optimized according to the training results. Finally, the trained Segnet is used to perform segmentation test on both Parts A and B of Warwick-QU. The results show that the presented method achieves segmentation accuracy of 0.882 on Part A and 0.8636 on Part B, and shape similarity 106.6471 on Part A and 102.5729 on Part B, respectively. Compared with the existing methods with respect to the same dataset, our method reaches the highest accuracy on whole.","PeriodicalId":226586,"journal":{"name":"2018 33rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"403 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133540352","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: 30
Tracking control of single spin-1/2 quantum ensembles 单自旋1/2量子系综的跟踪控制
2018 33rd Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2018-05-18 DOI: 10.1109/YAC.2018.8406349
Shizhou Fu, Shaosheng Zhou
{"title":"Tracking control of single spin-1/2 quantum ensembles","authors":"Shizhou Fu, Shaosheng Zhou","doi":"10.1109/YAC.2018.8406349","DOIUrl":"https://doi.org/10.1109/YAC.2018.8406349","url":null,"abstract":"This paper is concerned with the tracking control problem for the closed single spin-1/2 quantum ensembles. Based on the Liouville-von Neumann equation, mathematical model of dynamics for single spin-1/2 quantum ensembles are formulated as a bilinear form with states evolving on Bloch sphere. An associated matrix Lie group equation describing transfers from the initial state being an identity matrix is naturally introduced. The tracking problem for the system in question is transformed to a stabilization problem such that the control techniques are able to be used. In order to deal with the tracking problem, the Lyapunov-based feedback design method is employed to obtain the control such that the dynamics of system can converge to the reference trajectory.","PeriodicalId":226586,"journal":{"name":"2018 33rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133627407","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
Adaptive neural network prescribed performance control of switched nonlinear time-varying delay systems 切换非线性时变时滞系统的自适应神经网络规定性能控制
2018 33rd Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2018-05-18 DOI: 10.1109/YAC.2018.8406367
Shi Li, Z. Xiang
{"title":"Adaptive neural network prescribed performance control of switched nonlinear time-varying delay systems","authors":"Shi Li, Z. Xiang","doi":"10.1109/YAC.2018.8406367","DOIUrl":"https://doi.org/10.1109/YAC.2018.8406367","url":null,"abstract":"This paper considers the problem of adaptive output feedback prescribed performance control for a class of switched nonlinear systems with time-varying delays. The radial basis function neural networks are employed to approximate the unknown nonlinear functions. In order to estimate the unmeasured system states, an observer is designed. It is shown that all signals of the closed-loop system are bounded and the tracking error satisfies the prescribed performance. Finally, an example is presented to demonstrate the effectiveness of the proposed method.","PeriodicalId":226586,"journal":{"name":"2018 33rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133679052","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
Transmission network expansion planning considering multi-wind power output correlations 考虑多风电出力相关性的输电网扩容规划
2018 33rd Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2018-05-18 DOI: 10.1109/YAC.2018.8406482
Shuxiu Cao, Hui Zhou, Xinsong Zhang, Juping Gu, Liang Hua, Jiale Wang
{"title":"Transmission network expansion planning considering multi-wind power output correlations","authors":"Shuxiu Cao, Hui Zhou, Xinsong Zhang, Juping Gu, Liang Hua, Jiale Wang","doi":"10.1109/YAC.2018.8406482","DOIUrl":"https://doi.org/10.1109/YAC.2018.8406482","url":null,"abstract":"The outputs of adjacent wind farms have some correlation characteristics because of similar resource conditions, which has certain influences on transmission network expansion planning. In this paper, the influences of multi-wind power output correlations on transmission network expansion planning are considered. Firstly, the correlations between the outputs of adjacent wind farms are studied by Copula theory, and the method of generating wind farm samples with correlation is presented. Secondly, a transmission network expansion planning model is constructed based on the minimum cost method. In this model, Monte Carlo simulation technology is utilized to analyze uncertain characteristics of power flows resulted from multi-wind farms that are integrated into electric power grids simultaneously. At last, the simulation results based on the improved Garver 6 system verify the feasibility and rationality of the proposed model and algorithm. The results also show that the correlations of wind power outputs among multi-wind farm have a significant effect on the transmission network planning results, which should be taken into account in the planning.","PeriodicalId":226586,"journal":{"name":"2018 33rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122988677","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
A position estimation and control system for the quadrotor in GPS-deny situation based on FAST detection and optical flow 一种基于FAST检测和光流的四旋翼飞行器gps拒止位置估计与控制系统
2018 33rd Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2018-05-18 DOI: 10.1109/YAC.2018.8406523
N. Xie, Xinle Li, Yao Yu
{"title":"A position estimation and control system for the quadrotor in GPS-deny situation based on FAST detection and optical flow","authors":"N. Xie, Xinle Li, Yao Yu","doi":"10.1109/YAC.2018.8406523","DOIUrl":"https://doi.org/10.1109/YAC.2018.8406523","url":null,"abstract":"Position estimation based on vision system is essential for a UAV in the GPS-deny situation to realize the position control. However, in the practice, the hardware and software are not ideal for the UAV to carry when flying. Thus, this study is aiming at the problem of position estimation and control for a quadrotor UAV based on vision. Firstly, a position estimation algorithm based on vision is proposed, in which optical flow is used combining with FAST corner detection to ensure the real-time performance of the estimation in condition with limited loader. Meanwhile, a robust controller with nonlinear compensating input has been designed in this paper to deal with the position control for the quadrotor. A simulation is presented in this paper to verify the performance of the controller. Moreover, an experiment is also utilized in this paper to show that the method is practical and with high performance.","PeriodicalId":226586,"journal":{"name":"2018 33rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"269 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122200504","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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