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2018 Chinese Automation Congress, CAC 2018

作者： Sun, Lanlan Hei, Xinhong Xie, Guo Qian, Fueai Wang, Zhuxin Liu, Ran System Control and Intelligent Information Processing University of Technology Xi'An Shaanxi Key Laboratory of Complex Xi'an China

ISBN: (纸本)9781728113128

The axle temperature is an important performance index for high-speed train axle, and many types of high-precision detection device have been developed. However, because the existing hotbox detection system works by comparing the measured value with fixed and experiential temperature thresholds, without considering the dynamic influence of running environment, the rates of fault and failure alarm are still high. Regarding this problem, this paper is to realize high precision fault diagnosis. Firstly, the characteristics of the temperature rising rates of all axles, the axles on the same side of a carriage, the axles on the same side of a whole train are analyzed. Secondly, the support vector machine (SVM) is employed to establish a data-based fault diagnosis model, and the model is optimized using genetic algorithm. Finally, the proposed method is applied to an actual running data, the analysis results demonstrated the effectiveness and feasibility. © 2018 IEEE.

关键词： Genetic algorithms

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Cost efficient subcategory-aware CNN for object detection 24

Cost efficient subcategory-aware CNN for object detection

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24th IEEE International Conference on Image processing, ICIP 2017

作者： Li, Tingfeng Zhao, Xu Key Laboratory of System Control and Information Processing MOE Department of Automation Shanghai Jiao Tong University China

ISBN: (纸本)9781509021758

In this paper, we propose an accurate and cost efficient deep CNN network for object detection. In contrast to the previous region-based methods like Sub-CNN [1], our detector is almost fully convolutional so that the computation cost can be reduced efficiently. By introducing position-sensitive score maps and exploiting subcategory information, our method is less time consuming while maintaining competitive performance on detecting objects with various scales. In addition, we remove image pyramid used in Sub-CNN to achieve further acceleration. The experimental results show that our approach is 1.3 times faster than Sub-CNN with only 14% number of parameters and archives comparable results on the challenging KITTI dataset. Compared with the state-of-the-art methods for object detection, our approach provides an efficient solution that takes into account both accuracy and speed. © 2017 IEEE.

关键词： Object detection

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Robust Stability of Linear Time-Invariant systems with Hybrid Uncertainties

Robust Stability of Linear Time-Invariant Systems with Hybri...

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2023 International Conference on Automation, control and Electronics Engineering, CACEE 2023

作者： Li, Yangxuan Lu, Junguo Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Department of Automation Shanghai China

ISBN: (纸本)9798350309201

This paper presents a study on the robust stability analysis of linear time-invariant systems with parameter uncertainties and norm-bounded uncertainties. By utilizing the structured singular value, necessary and sufficient conditions for robust stability are derived. Based on the stability condition, the stability margin of the uncertain system is obtained from the skewed structured singular value. Additionally, numerical simulation results are provided to validate the effectiveness of the proposed methods. © 2023 IEEE.

关键词： Linear time-invariant system

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Energy Efficient Predictive control for Vapor Compression Refrigeration Cycle systems

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IEEE/CAA Journal of Automatica Sinica 2018年第5期5卷 953-960页

作者： Xiaohong Yin Shaoyuan Li the School of Automation and Electronic Engineering Qingdao University of Science and TechnologyQingdao 266042China the Department of Automation Shanghai Jiao Tong Universityand the Key Laboratory of System Control and Information ProcessingMinistry of Education of ChinaShanghai 200240China

Abstract--Vapor compression refrigeration cycle （VCC） system is a high dimensional coupling thermodynamic system for which the controller design is a great challenge. In this paper, a model predictive control based energy efficient control strategy which aims at maximizing the system efficiency is proposed. Firstly, according to the mass and energy conservation law, an analysis on the nonlinear relationship between superheat and cooling load is carried out, which can produce the maximal effect on the system performance. Then a model predictive control （MPC） based controller is developed for tracking the calculated setting curve of superheat degree and pressure difference based on model identified from data which can be obtained from an experimental rig. The proposed control strategy maximizes the coefficient of performance （COP） which depends on operating conditions, in the meantime, it meets the changing demands of cooling capacity. The effectiveness of the control performance is validated on the experimental rig. Index Terms--Cooling load, model predictive control （MPC）, superheat, vapor compression refrigeration cycle （VCC）.

关键词： Cooling load model predictive control(MPC) superheat vapor compression refrigeration cycle(VCC)

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Optimal Power Allocation for Cooperative Relaying system in Smart Grid 35

Optimal Power Allocation for Cooperative Relaying System in ...

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第35届中国控制会议

作者： MA Kai LIU Xuemei YANG Jie LIU Zhixin WANG Congshan School of Electrical Engineering Yanshan University Key Laboratory of System Control and Information Processing Ministry of EducationShanghai Jiao Tong University

ISBN: (纸本)9781509009107

In this study,cooperative relaying is proposed to reduce the packets loss rate in the communications between the utility company and the *** establish a cost model based on the statistical analysis with the regulation errors of a direct load control method in smart ***,we model the average cost of generation-side regulation using the combinational cost of the generating *** problem of minimizing the average cost to the utility company is convex,and we use the Fibonacci search method to obtain the globally optimal power allocation for the *** results demonstrate that the proposed algorithm can converge to the globally optimal relay power under the amplify-and-forward relaying strategy,and the average cost to the utility company can be reduced significantly.

关键词： Smart Grid Cooperative Relaying Fibonacci Search Method Automatic Generation control(AGC) Power Allocation

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Distributed Economic MPC for Synergetic Regulation of the Voltage of an Island DC Micro-Grid

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IEEE/CAA Journal of Automatica Sinica 2024年第3期11卷 734-745页

作者： Yi Zheng Yanye Wang Xun Meng Shaoyuan Li Hao Chen IEEE the Department of Automation Shanghai Jiao Tong UniversityShanghai 200240 the Key Laboratory of System Control and Information Processing Ministry of Education of ChinaShanghai 200240China Haixi Institutes Chinese Academy of SciencesJinjiang 362216China

In this paper,distributed model predictive control(DMPC) for island DC micro-grids(MG) with wind/photovoltaic(PV)/battery power is proposed,which coordinates all distributed generations(DG) to stabilize the bus voltage together with the insurance of having computational efficiency under a real-time *** on the feedback of the bus voltage,the deviation of the current is dispatched to each DG according to cost over the prediction ***,to avoid the excessive fluctuation of the battery power,both the discharge-charge switching times and costs are considered in the model predictive control(MPC) optimization problems.A Lyapunov constraint with a time-varying steady-state is designed in each local MPC to guarantee the stabilization of the entire *** voltage stabilization of the MG is achieved by this strategy with the cooperation of *** numeric results of applying the proposed method to a MG of the Shanghai Power Supply Company shows the effectiveness of the distributed economic MPC.

关键词： Distributed model predictive control(DMPC) Lyapunovbased model predictive control micro-grid(MG) voltage control

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Adaptive Autonomous Navigation Method for MEO and HEO Satellites Based on Weak Constellation Signal 35

Adaptive Autonomous Navigation Method for MEO and HEO Satell...

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第35届中国控制会议

作者： YANG Wen-bo LI Shao-yuan Shanghai Polytechnic University Department of Automation Shanghai Jiao Tong Universityand Key Laboratory of System Control and Information ProcessingMinistry of Education

ISBN: (纸本)9781509009107

An adaptive autonomous navigation method for medium earth orbit（MEO） and high earth orbit（HEO） satellites is proposed by using four constellation systems to overcome shortcomings of low visibility,liability and usability of single mode or dual-mode positioning ***,based on the analysis of the visibility and compatibility of constellation satellites,satellites selection is realized by utilizing weighted geometric dilution of precision（WGDOP） ***,considering the fact that there exists a non-synchronization phenomenon in the constellation systems,the synchronization error of each constellation system is estimated in real time as state variables of the navigation ***,measurement noise variance matrix of the designed filter is adjusted adaptively in allusion to the problem of weakness of the received satellites signal and the strong uncertainty of the measurement noise of the ***,simulation results are provided,which illustrate that compared with extended Kalman filter（EKF）,the navigation accuracy can be enhanced by using the proposed adaptive filtering algorithm when there exists strong uncertainty in the measurement noise.

关键词： Autonomous navigation Visibility Geometric dilution of precision Synchronization

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Vibration-Based Fault Diagnosis for Railway Point Machines Using VMD and Multiscale Fluctuation-Based Dispersion Entropy

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Chinese Journal of Electronics 2024年第3期33卷 803-813页

作者： Yongkui SUN Yuan CAO Peng LI Guo XIE Tao WEN Shuai SU National Engineering Research Center of Rail Transportation Operation and Control System Beijing Jiaotong University School of Electronic and Information Engineering Beijing Jiaotong University Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi'an University of Technology Frontiers Science Center for Smart High-speed Railway System Beijing Jiaotong University

As one of the most important railway signaling equipment,railway point machines undertake the major task of ensuring train operation *** fault diagnosis for railway point machines becomes a hot *** the advantage of the anti-interference characteristics of vibration signals,this paper proposes an novel intelligent fault diagnosis method for railway point machines based on vibration signals.A feature extraction method combining variational mode decomposition(VMD) and multiscale fluctuation-based dispersion entropy is developed,which is verified a more effective tool for feature ***,a two-stage feature selection method based on Fisher discrimination and ReliefF is proposed,which is validated more powerful than single feature selection ***,support vector machine is utilized for fault *** comparisons show that the proposed method performs *** diagnosis accuracies of normal-reverse and reverse-normal switching processes reach 100% and 96.57% ***,it is a try to use new means for fault diagnosis on railway point machines,which can also provide references for similar fields.

关键词： Fault diagnosis Railway point machine Vibration signal Variational mode decomposition Two-stage feature selection

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Spectrum Allocation for Hierarchical Communication Networks in Smart Grid 36

Spectrum Allocation for Hierarchical Communication Networks ...

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第36届中国控制会议

作者： MA Kai LIU Pei LIU Xuemei YANG Jie LIU Zhixin WEI Xiaomin School of Electrical Engineering Yanshan University Key Laboratory of System Control and Information Processing Ministry of EducationShanghai Jiao Tong University

ISBN: (纸本)9781538629185

In this study,a spectrum allocation algorithm is proposed to reduce the cost and the packets loss rate in the communications between the utility company and the *** establish a cost model based on spectrum allocation in smart ***,the subbands are allocated to different data aggregator units（DAUs） according to the confidence level and the maximum cost *** maximum cost corresponding to the DAUs are provided by different utility *** results demonstrate that the spectrum allocation algorithm can reduce the packets loss rate and make the cost of the utility companies all below the maximum cost requirements.

关键词： Smart Grid Spectrum Allocation Subband Confidence Level Cost

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Salient object detection via color contrast and color distribution

Salient object detection via color contrast and color distri...

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11th Asian Conference on Computer Vision, ACCV 2012

作者： Fu, Keren Gong, Chen Yang, Jie Zhou, Yue Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Shanghai 200240 China

ISBN: (纸本)9783642373305

In this paper, we take the advantages of color contrast and color distribution to get high quality saliency maps. The overall procedure flow of our unified framework contains superpixel pre-segmentation, color contrast and color distribution computation, combination, final refinement and then object segmentation. During color contrast saliency computation, we combine two color systems and then introduce the using of distribution prior before saliency smoothing. It works to select correct color components. In addition, we propose a novel saliency smoothing procedure that is based on superpixel regions and is realized in color space. This processing step leads to total object being highlighted evenly, contributing to high quality color contrast saliency maps. Finally, a new refinement approach is utilized to eliminate artifacts and recover unconnected parts in the combined saliency maps. In visual comparison, our method produces higher quality saliency maps which stress out the total object meanwhile suppress background clutters. Both qualitative and quantitative experiments show our approach outperforms 8 state-of-the-art methods, achieving the highest precision rate 96% (3% improvement from the current highest), when evaluated via one of the most popular data sets [1]. Excellent content-aware image resizing also can be achieved with our saliency maps. © 2013 Springer-Verlag.

关键词： Superpixels

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