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Optimizing PV-battery energy storage for netzero emission traction power system through artificial rabbit optimization method

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Journal of Energy Storage 2025年 126卷

作者： Li, Zhijian Hu, Yihua Ollerenshaw, Richard Li, Xinian He, Zengxiang Esfahani, Mohammad Nasr School of Physics Engineering and Technology University of York YorkYO10 5DD United Kingdom Department of Engineering King's College London LondonWC2R 2LS United Kingdom Siemens Rail Electrification Siemens Mobility York United Kingdom School of Information and Electronics Engineering Shandong Technology and Business University Yantai264005 China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Nanjing210096 China School of Automation Southeast University Nanjing210096 China

The transition from traditional fossil fuels to renewable energy is becoming increasingly feasible and is essential for addressing energy and environmental challenges. In transportation electrification, the variability of power demand and the intermittent nature of renewable energy generation present challenges to achieving high renewable energy utilization. Battery energy storage systems (BESS) integrated to renewable resources offer a viable solution to these intermittency issues, though their costs require careful optimization. This paper explores the cost implications of using on-site renewable energy to power a railway traction system. It proposes a photovoltaic (PV) energy storage strategy optimized with the Artificial Rabbit Algorithm (ARO). By applying railway load and regional PV data, we optimize the capacity of BESS and the rated power of the PV site to meet railway electricity demands while minimizing investment and operational costs. The study shows that the capacity of BESS and the size of the PV installation depend on different self-sufficiency ratio (SSR) requirements, leading to an optimized configuration for highly renewable systems. Additionally, the study highlights that considering battery aging is crucial for reducing costs in traction power systems using renewable energy and remains economically viable under time-of-use pricing policies. © 2025 Elsevier Ltd

关键词： Battery storage

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New enhancement of infrared image based on human visual system

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Chinese Optics Letters 2009年第3期7卷 206-209页

作者：于天河李秋明戴景民 Department of Automation Measurement and Control Engineering Harbin Institute of Technology Computer Center Harbin University of Science and Technology School of Astronautics Harbin Institute of Technology

Infrared images are firstly analyzed using the multifractal theory so that the singularity of each pixel can be extracted from the images. The multifractal spectrum is then estimated, which can reflect overall characteristic of an infrared image. Thus the edge and texture of an infrared image can be accurately extracted based on the singularity of each pixel and the multifractal spectrum. Finally the edge pixels are classified and enhanced in accordance with the sensitivity of human visual system to the edge profile of an infrared image. The experimental results obtained by this approach are compared with those obtained by other methods. It is found that the proposed approach can be used to highlight the edge area of an infrared image to make an infrared image more suitable for observation by human eyes.

关键词： Imaging systems Infrared imaging Infrared spectroscopy Pixels

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Output feedback control for mobile robot systems with significant external disturbances

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Science China(Information Sciences) 2020年第9期63卷 277-280页

作者： Kang WU Jinya SU Changyin SUN Key Laboratory of Measurement and Control of CSE Ministry of EducationSchool of Automation Southeast University Department of Aeronautical and Automotive Engineering Loughborough University

Dear editor,The control of nonholonomic systems, like those describing mobile robots, has attracted considerable research attention in recent decades owing to its theoretical and practical importance. Brockett’s theo... 详细信息

关键词： Nonlinear system Nonholonomic system Adaptive control Extended state observer(ESO) Disturbance rejection

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An uplink power control algorithm using traditional iterative model for cognitive radio networks

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Journal of Central South University 2012年第10期19卷 2816-2822页

作者：李枫谭学治王丽 School of Electronics Information Engineering Harbin Institute of Technology Department of Automation Measurement and Control Harbin Institute of Technology

Based on the analysis of the feature of cognitive radio networks, a relevant interference model was built. Cognitive users should consider especially the problem of interference with licensed users and satisfy the signal-to-interference noise ratio （SINR） requirement at the same time. According to different power thresholds, an approach was given to solve the problem of coexistence between licensed user and cognitive user in cognitive system. Then, an uplink distributed power control algorithm based on traditional iterative model was proposed. Convergence analysis of the algorithm in case of feasible systems was provided. Simulations show that this method can provide substantial power savings as compared with the power balancing algorithm while reducing the achieved SINR only slightly, since 6% S1NR loss can bring 23% power gain. Through further simulations, it can be concluded that the proposed solution has better effect as the noise power or system load increases.

关键词： cognitive radio uplink power control interference iterative algorithm

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An improved topology inference algorithm based on end-to-end measurements

An improved topology inference algorithm based on end-to-end...

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International Conference on Pervasive Computing Signal Processing and Applications (PCSPA)

作者： Yang, Jingli Jiang, Shouda Wei, Chang'An Department of Automation Measurement and Control Engineering Harbin Institute of Technology Harbin China

ISBN: (纸本)9780769541808

Network topology inference, one of the studies of the network tomography, is the proposition of the network link-level performance inference. MLE and grouping methods recently have been proposed as means to infer network logical topology. The time spent on MLE increased sharply with the size of network, which may restrict the technique to be used in practice. The grouping method with less computation may lead to great errors because of the use of fixed threshold. In order to improve the disadvantages of the grouping method, this paper proposes an improved algorithm based on th grouping method, which dynamically adapts the threshold according to the estimation of link loss rate. The simulation results show that the improved algorithm has greater performance. © 2010 IEEE.

关键词： Network topology

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A novel suppression algorithm of power line interference in ECG signal

A novel suppression algorithm of power line interference in ...

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International Conference on Pervasive Computing Signal Processing and Applications (PCSPA)

作者： Dai, Huhe Jiang, Shouda Wei, Chang'An Department of Automation Measurement and Control Engineering Harbin Institute of Technology Harbin China

ISBN: (纸本)9780769541808

To eliminate interference within electrocardiogram signal (ECS) recorded under complicated Power Line (PL) circumstances, a novel algorithm is proposed. ECS is divided into two parts, linear segment and the nonlinear one. A new linear segment determination rule is presented, by which linear and non-linear segment can be distinguished within single PL period by using the symmetry of sinusoidal wave. Correlation algorithm is used to calculate the amplitude and initial phase of Power Line Interference (PLI). Performance of the proposed algorithm is compared with and Subtraction Procedure (SP) on MATLAB platform. The presented algorithm evidently improves PLI evaluation update times, and avoids boundary distortion, and efficiently eliminates PLI. Experiment results show that the new algorithm is superior in filtering amplitude-changed PLI. © 2010 IEEE.

关键词： Electrocardiograms

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Development of camshaft journals multi-parameters measuring instrument

Development of camshaft journals multi-parameters measuring ...

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International Conference on Pervasive Computing, Signal Processing and Applications

作者： Xu, Lian-Hu Yuan, Yi-Bao Wang, Yu-Hua Department of Automation Measurement and Control Engineering Harbin Institute of Technology Harbin China

ISBN: (纸本)9780769541808

Camshaft is the key component of automobile engine valve timing mechanism, whose machining precision will affect overall performance of automobile engine. This paper presents a kind of camshaft journals multi-parameters measuring instrument based on the actual requirement of camshaft production. The camshaft measuring instrument was auto measuring instrument composed of pneumatic control system, precision measurement system and computer-aided measurement system, which was developed for measuring journal diameter, roundness, conicity, journal radial runout relative to center holes connection, and number 2, 3, 4 journal radial runout relative to number 1 and 5 journal center connection, etc. The measurement repetition and stability were perfect, it was fit for high precision and fast measurement at production site. © 2010 IEEE.

关键词： Computer control systems

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STATE FEEDBACK STABILIZATION FOR A CLASS OF NONLINEAR TIME-DELAY SYSTEMS VIA DYNAMIC LINEAR controlLERS

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Journal of Systems Science & Complexity 2014年第3期27卷 453-462页

作者： CHAI Lin QIAN Chunjiang School of Automation Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Southeast University Department of Electrical and Computer Engineering University of Texas at San AntonioSan AntonioTX 78249USA

The dynamic linear state feedback control problem is addressed for a class of nonlinear systems subject to ***,using the dynamic change of coordinates,the problem of global state feedback stabilization is solved for a class of time-delay systems under a type of nonhomogeneous growth *** the aid of an appropriate Lyapunov-Krasovskii functional and the adaptive strategy used in coordinates,the closed-loop system can be globally asymptotically stabilized by the dynamic linear state feedback *** growth condition in perturbations are more general than that in the existing *** correctness of the theoretical results are illustrated with an academic simulation example.

关键词： Dynamic linear controller global stabilization nonlinear time-delay systems state feed-back control.

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6-DOF MOTION AND CENTER OF ROTATION ESTIMATION BASED ON STEREO VISION

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Chinese Journal of Mechanical engineering 2008年第2期21卷 87-92页

作者： CAO Wanpeng BI Wei CHE Rensheng GUO Wenbo YE Dong Department of Automatic Measurement and Control Harbin Institute of Technology Harbin 150001 China China Academy of Machinery Science and Technology Beijing 100044 China Department of Electrical Engineering and Automation Harbin Institute of Technology Harbin 150001 China

A new motion model and estimation algorithm is proposed to compute the general rigid motion object＇s 6-DOF motion parameters and center of rotation based on stereo vision. The object＇s 6-DOF motion model is designed from the rigid object＇s motion character under the two defined reference frames. According to the rigid object＇s motion model and motion dynamics knowledge, the corresponding motion algorithm to compute the 6-DOF motion parameters is worked out. By the rigid object pure rotation motion model and space sphere geometry knowledge, the center of rotation may be calculated after eliminating the translation motion out of the 6-DOF motion. The motion equations are educed based on the motion model and the closed-form solutions are figured out. To heighten the motion estimation algorithm＇s robust, RANSAC algorithm is applied to delete the outliers. Simulation and real experiments are conducted and the experiment results are analyzed. The results prove the motion model＇s correction and algorithm＇s validity.

关键词： Motion estimation Center of rotation 6-DOF motion Stereo vision

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Collaborative Filtering Motivated Automatic Photo Tagging 36

Collaborative Filtering Motivated Automatic Photo Tagging

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第36届中国控制会议

作者： Yuan Zhou Siyu Xia Junkang Zhang Dandi Chen Key Laboratory of Measurement and Control of CSE School of AutomationSoutheast University Computer Science and Engineering Department University of Connecticut

ISBN: (纸本)9781538629185

Personal photographs shared in social network websites show a wide range of variations in illumination,pose and *** a result,conventional face recognition methods show poor performance in such uncontrolled *** resolve this problem,we explore incorporating associated social network context into visual face recognition *** by collaborative filtering technique,a new method for photo tagging task is proposed in this ***,a large-scale social network image dataset（SNRR-collection） is collected in this *** evaluated on SNRR-collection dataset demonstrate the effectiveness of our proposed model.

关键词： Photo tagging Face recognition Social Networks Collaborative filtering Recommender system

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