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第三十八届中国控制会议

作者： Xiaodong Shao Qinglei Hu School of Automation Science and Electrical Engineering Beihang University Beijing Advanced Innovation Center for Big-Data Based Precision Medicine Beihang University

This paper investigates the translational control problem for autonomous spacecraft rendezvous with a freely tumbling target under approaching path constraints. Specifically and firstly, a dynamic model resolved in the target's body-fixed frame is established for relative translational motion of the pursuer with respect to the target, which allows to facilitate the closed-loop control design and stability analysis significantly. To ensure that the approaching path constraint is satisfied, the constrained zone is parameterized in terms of spatial geometrical feature, and then an artificial potential function(APF) is designed ***, by mathematical analysis, it is shown that the APF is free of local minima problem inherent in traditional APF-based control. Subsequently, an adaptive controller is synthesized within the backstepping control framework using the designed *** designed controller enables the pursuer to reach the desired position, while complying with the approaching path *** Lyapunov's direct method, the closed-loop stability is analyzed. Finally, simulation results are given to demonstrate key features and illustrate the effectiveness of the proposed control scheme.

关键词： Adaptive control artificial potential function(APF) motion constraint autonomous spacecraft rendezvous

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Artificial intelligence forecasting of covid-19 in China

arXiv

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arXiv 2020年

作者： Hu, Zixin Ge, Qiyang Li, Shudi Jin, Li Xiong, Momiao State Key Laboratory of Genetic Engineering and Innovation Center of Genetics and Development School of Life Sciences Fudan University Shanghai China Human Phenome Institute Fudan University Shanghai China School of Mathematic Sciences Fudan University Shanghai China Department of Biostatistics and Data Science School of Public Health University of Texas Health Science Center at Houston HoustonTX77030 United States

BACKGROUND An alternative to epidemiological models for transmission dynamics of Covid-19 in China, we propose the artificial intelligence (AI)-inspired methods for real-time forecasting of Covid-19 to estimate the size, lengths and ending time of Covid-19 across China. METHODS We developed a modified stacked auto-encoder for modeling the transmission dynamics of the epidemics. We applied this model to real-time forecasting the confirmed cases of Covid-19 across China. The data were collected from January 11 to February 27, 2020 by WHO. We used the latent variables in the auto-encoder and clustering algorithms to group the provinces/cities for investigating the transmission structure. RESULTS We forecasted curves of cumulative confirmed cases of Covid-19 across China from Jan 20, 2020 to April 20, 2020. Using the multiple-step forecasting, the estimated average errors of 6-step, 7-step, 8-step, 9-step and 10-step forecasting were 1.64%, 2.27%, 2.14%, 2.08%, 0.73%, respectively. We predicted that the time points of the provinces/cities entering the plateau of the forecasted transmission dynamic curves varied, ranging from Jan 21 to April 19, 2020. The 34 provinces/cities were grouped into 9 clusters. CONCLUSIONS The accuracy of the AI-based methods for forecasting the trajectory of Covid-19 was high. We predicted that the epidemics of Covid-19 will be over by the middle of April. If the data are reliable and there are no second transmissions, we can accurately forecast the transmission dynamics of the Covid-19 across the provinces/cities in China. The AI-inspired methods are a powerful tool for helping public health planning and policymaking. Copyright © 2020, The Authors. All rights reserved.

关键词： Forecasting

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An adaptive algorithm for quantum circuit simulation

arXiv

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arXiv 2019年

作者： Schutski, Roman Oseledets, Ivan Lykov, Danil Center for Computational and Data-Intensive Science and Engineering Skoltech Skolkovo Innovation Center Moscow Region121205 Moscow Institute of Physics and Technology Dolgoprudny Moscow Region141701

Efficient simulation of quantum computers is essential for the development and validation of near-term quantum devices and the research on quantum algorithms. Up to date, two main approaches to simulation were in use, based on either full state or single amplitude evaluation. We propose an algorithm that efficiently interpolates between these two possibilities. Our approach elucidates the connection between quantum circuit simulation and partial evaluation of expressions in tensor algebra. Copyright © 2019, The Authors. All rights reserved.

关键词： Circuit simulation

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Spatial optimization of rice systems with ratoon rice increases production and reduces methane emissions

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European Journal of Agronomy 2025年 170卷

作者： Ding, Qian Li, Yuechen Cao, Ruyin Chen, Jin Yao, Xiong Zhang, Wujun Chongqing Engineering Research Center for Remote Sensing Big Data Application Chongqing Jinfo Mountain National Field Scientific Observation and Research Station for Karst Ecosystem School of Geographical Sciences Southwest University Chongqing 400715 China Key Laboratory of Remote Sensing Application and Innovation Chongqing 401147 China Key Laboratory of Monitoring Evaluation and Early Warning of Territorial Spatial Planning Implementation Ministry of Natural Resources Chongqing 401147 China School of Resources and Environment University of Electronic Science and Technology of China Sichuan Chengdu 611731 China State Key Laboratory of Remote Sensing Science Faculty of Geographical Science Beijing Normal University Beijing 100875 China Chongqing Rice Ratooning Research Center Chongqing Academy of Agricultural Sciences Chongqing 401329 China

The ratoon rice system (RR) has potential for increasing rice production and reducing environmental impacts. However, research on the spatial optimization of rice systems with RR to balance rice production and environmental protection is limited. We explored the trade-offs in production and methane emissions between RR, the single-season rice system (SR), and the double-season rice system (DR) by employing spatial optimization as a research paradigm. On the basis of 70 field sites, we analyzed the yield and methane emission differences among RR, SR and DR. A random forest model was employed to assess the suitability of RR in China's rice fields. The potential of RR to increase production and reduce methane emissions in medium- and high-suitability areas under different spatial cultivation strategies was quantified through scenario simulations. We found that the annual yield of RR (12.40 ± 1.98 t ha⁻¹) was significantly higher than that of SR (73.53 %) but less than that of DR (1.35 %). However, its methane emissions (0.42 ± 0.19 t ha⁻¹) were lower than those of DR (38.25 %) but higher than those of SR (27.43 %). Suitability analysis revealed that 73.82 % of rice fields nationwide are suitable for RR, with 99.21 % suitability in DR areas. Scenario simulations indicated that, with the optimal spatial layout of rice systems, RR could increase rice production by 14.55 % without increasing methane emissions or reduce methane emissions by 5.31 % while maintaining rice production. This study demonstrated the significant potential of RR to increase rice production while reducing environmental impacts through spatial optimization and offered an innovative approach for sustainable rice production planning in China. © 2025 Elsevier B.V.

关键词： China Methane emission Production Ratoon rice Suitability

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Characterizing the Contribution of Dependent Features in Xai Methods

SSRN

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SSRN 2023年

作者： Salih, Ahmed Galazzo, Ilaria Boscolo Raisi-Estabragh, Zahra Petersen, Steffen E. Menegaz, Gloria Radeva, Petia William Harvey Research Institute NIHR Barts Biomedical Research Centre Queen Mary University of London Charterhouse Square London LondonEC1M 6BQ United Kingdom Department of Computer Science Faculty of Science University of Zakho Zakho Way Road Kurdistan region Duhok42002 Iraq Department of Engineering for Innovation Medicine University of Verona Via S. Francesco 22 Verona Verona37129 Italy Barts Heart Centre St Bartholomew’s Hospital Barts Health NHS Trust West Smithfield LondonEC1A 7BE United Kingdom Health Data Research London United Kingdom Alan Turing Institute London United Kingdom de Matem`atiques i Inform`atica Universitat de Barcelona Gran Via de les Corts Catalanes Barcelona08007 Spain Computer Vision Center Cerdanyola del Valĺes Barcelona Spain Gloria and Petia sharing PI

Explainable Artificial Intelligence (XAI) provides tools to help understanding how the machine learning models work and reach a specific outcome. It helps to increase the interpretability of models and makes the models more trustworthy and transparent. In this context, many XAI methods were proposed being SHAP and LIME the most popular. However, the proposed methods assume that used predictors in the machine learning models are independent which in general is not necessarily true. Such assumption casts shadows on the robustness of the XAI outcomes such as the list of informative predictors. Here, we propose a simple, yet useful proxy that modifies the outcome of any XAI feature ranking method allowing to account for the dependency among the predictors. The proposed approach has the advantage of being model-agnostic as well as simple to calculate the impact of each predictor in the model in presence of collinearity. © 2023, The Authors. All rights reserved.

关键词： Lime

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Field-free spin-orbit torque-induced switching of perpendicular magnetization in a ferrimagnetic layer with vertical composition gradient

arXiv

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arXiv 2021年

作者： Zheng, Zhenyi Zhang, Yue Lopez-Dominguez, Victor Sánchez-Tejerina, Luis Shi, Jiacheng Feng, Xueqiang Chen, Lei Wang, Zilu Zhang, Zhizhong Zhang, Kun Hong, Bin Xu, Yong Zhang, Youguang Carpentieri, Mario Fert, Albert Finocchio, Giovanni Zhao, Weisheng Amiri, Pedram Khalili Fert Beijing Research Institute School of Integrated Circuit Science and Engineering Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University Beijing China Department of Electrical and Computer Engineering Northwestern University EvanstonIL United States School of Electronics and Information Engineering Beihang University Beijing China Department of Mathematical and Computer Sciences Physical Sciences and Earth Sciences University of Messina Messina Italy Dipartimento di Ingegneria Elettrica e dell’Informazione Politecnico di Bari Bari Italy Unité Mixte de Physique CNRS Thales Univ. Paris-Sud University of Paris-Saclay Palaiseau France

Current-induced spin-orbit torques (SOTs) are of interest for fast and energy-efficient manipulation of magnetic order in spintronic devices. To be deterministic, however, switching of perpendicularly magnetized materials by SOT requires a mechanism for in-plane symmetry breaking. Existing methods to do so involve the application of an in-plane bias magnetic field, or incorporation of in-plane structural asymmetry in the device, both of which can be difficult to implement in practical applications. Here, we report bias-field-free SOT switching in a single perpendicular CoTb layer with an engineered vertical composition gradient. The vertical structural inversion asymmetry induces strong intrinsic SOTs and a gradient-driven Dzyaloshinskii–Moriya interaction (g-DMI), which breaks the in-plane symmetry during the switching process. Micromagnetic simulations are in agreement with experimental results, and elucidate the role of g-DMI in the deterministic switching. This bias-field-free switching scheme for perpendicular ferrimagnets with g-DMI provides a strategy for efficient and compact SOT device design. © 2021, CC BY.

关键词： Switching

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A force–voltage responsivity stabilization method for piezoelectric touch panels in the internet of things

TechRxiv

引用

TechRxiv 2020年

作者： Gao, Shuo Shao, Mingqi Guo, Rong Nathan, Arokia School of Instrumentation Science and Optoelectronic Engineering Beihang University Beijing100083 China School of Automation Science and Electrical Engineering Beihang University Beijing100083 China Beijing Advanced Innovation Center for Big Data-Based Precision Medicine Beihang University Beijing100083 China Cambridge Touch Technologies Inc. 154 Cambridge Science Park Milton Rd Milton CambridgeCB4 0GN United Kingdom

Piezoelectric force touch panels are attractive as human-machine interfaces and 3-dimensional touch sensing in internet of things (IoT) applications. The piezoelectric material has the intrinsic ability to convert mechanical to electrical signals. But the force responsivity issue induced by different touch orientations can be unstable. This paper presents a piezoelectric touch panel that is sensitive to both capacitive and force stimulation. A touch orientation classification technique is developed to calibrate the detected force amplitude by training a machine learning model with finger induced capacitive information. A high and stable force voltage responsivity of 87.5% is achieved experimentally, demonstrating its potential significance in force touch based human-machine interactivity. © 2020, CC BY.

关键词： Internet of things

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Climatic and Biotic Controls of Evapotranspiration Across Grassland Ecosystems on Tibetan Plateau

SSRN

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SSRN 2023年

作者： Peng, Siyuan Yang, Yue Luo, Dengnan Zeng, Xiang Liang, Minqi Tao, Long Zhang, Guangru Li, Pan Liao, Weijie Guo, Qun Cao, Ruochen Li, Yuzhe Zhang, Weirong Hu, Zhongmin School of Geography South China Normal University Shipai Campus Guangzhou510631 China Key Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation School of Ecology and Environment Hainan University Haikou570228 China Center for Eco-Environment Restoration Engineering of Hainan Province Hainan University Haikou570228 China Facility of Geographical Science Beijing Normal University Beijing100875 China Zhuhai Branch of State Key Laboratory of Earth Surface Processes and Resource Ecology Beijing Normal University Zhuhai519087 China School of Atmospheric Sciences Guangdong Province Data Center of Terrestrial and Marine Ecosystems Carbon Cycle Sun Yat-sen University Guangdong Zhuhai510245 China Key Lab of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing100101 China College of Resources and Environment University of Chinese Academy of Sciences Beijing101408 China International Institute for Earth System Sciences Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application Nanjing University Jiangsu210023 China Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology Key Laboratory for Land Satellite Remote Sensing Applications of Ministry of Natural Resources School of Geography and Ocean Science Nanjing University Jiangsu210023 China Key Laboratory of Land Surface Pattern and Simulation Institute of Geographical Sciences and Natural Resources Research Chinese Academy of Sciences Beijing China

Accurately quantifying spatiotemporal variations in evapotranspiration (ET) and its components on Tibetan Plateau (TP) is crucial for understanding the regional water cycle and energy balance. However, the determinant of spatial variations in ET and its component processes in grassland ecosystems of TP remain unclear. In this study, we used 14 sites observation data and applied Shuttleworth-Wallace-Hu (SWH) model to investigate the spatial relationships between ET, its components, and influencing factors. Our results highlighted the good performance of SWH model. There were corresponding drops in ET on alpine meadow and on alpine steppe. And the ratio of ET and precipitation (ET/PPT) of most sites was less than 1 in alpine meadow. Furthermore, the ratio of transpiration (T) and ET (T/ET) in alpine meadow generally exceeded that in alpine steppe. PPT emerged as the primary driver of interannual spatial variations in ET, while LAI played a crucial role in regulating T/ET. Our results further demonstrated that in the grassland ecosystem of TP, as the aridity index increased, the ET gradually transitioned from being primarily influenced by water supply to energy demand. This transition occurred at an aridity index of 0.73 approximately. The results of this study imply that in the context of global warming, with aridity index in TP decreasing, the ET of more ecosystems will shift from energy-led to water-led. Such findings are of immense significance in enhancing our understanding of the intricate interactions of the water cycle between land and the atmosphere. © 2023, The Authors. All rights reserved.

关键词： Water supply

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Correlation of Gut Microbiome Between ASD Children and Mothers and Potential Biomarkers for Risk Assessment

引用

Genomics, Proteomics & Bioinformatics 2019年第1期17卷 26-38页

作者： Ning Li Junjie Yang Jiaming Zhang Cheng Liang Ying Wang Bin Chen Changying Zhao Jingwen Wang Guangye Zhang Dongmei Zhao Yi Liu Lehai Zhang Jun Yang Guimei Li Zhongtao Gai Lei Zhang Guoping Zhao Shandong Children's Microbiome Center Qilu Children's Hospital of Shandong University Department of Pediatrics Shandong Provincial Hospital Affiliated to Shandong University Institute of Child Health Care Qilu Children's Hospital of Shandong University School of Information Science and Engineering Shandong Normal University Research Institute of Pediatrics Qilu Children's Hospital of Shandong University Beijing Advanced Innovation Center for Big Data-Based Precision Medicine Beihang University College of Life Science Qilu Normal University School of Chemistry Beihang University CAS Key Laboratory of Synthetic Biology Shanghai Institutes for Biological Sciences Chinese Academy of Sciences

Variation of maternal gut microbiota may increase the risk of autism spectrum disorders(ASDs) in offspring. Animal studies have indicated that maternal gut microbiota is related to neurodevelopmental abnormalities in mouse offspring, while it is unclear whether there is a correlation between gut microbiota of ASD children and their mothers. We examined the relationships between gut microbiome profiles of ASD children and those of their mothers, and evaluated the clinical discriminatory power of discovered bacterial biomarkers. Gut microbiome was profiled and evaluated by 16S ribosomal RNA gene sequencing in stool samples of 59 mother–child pairs of ASD children and 30 matched mother–child pairs of healthy children. Significant differences were observed in the gut microbiome composition between ASD and healthy children in our Chinese cohort. Several unique bacterial biomarkers, such as Alcaligenaceae and Acinetobacter, were identified. Mothers of ASD children had more Proteobacteria, Alphaproteobacteria, Moraxellaceae, and Acinetobacter than mothers of healthy children. There was a clear correlation between gut microbiome profiles of children and their mothers; however, children with ASD still had unique bacterial biomarkers, such as Alcaligenaceae, Enterobacteriaceae, and Clostridium. Candidate biomarkers discovered in this study had remarkable discriminatory power. The identified patterns of mother–child gut microbiome profiles may be important for assessing risks during the early stage and planning of personalized treatment and prevention of ASD via microbiota modulation.

关键词： Autism spectrum disorders Gut microbiome Biomarker Mother-child pair Microbiota-gut-immunebrain axis

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Rotor Unbalance Vibration Suppression for MSCMG Using Composite Anti-disturbance Control Method

Rotor Unbalance Vibration Suppression for MSCMG Using Compos...

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第三十八届中国控制会议

作者： Yifan Liu Gang Liu Jinjin Xie Shiqiang Zheng Science and Technology on Inertial Laboratory Beihang University Shanghai Institute of Satellite Engineering Beijing Advanced Innovation Center for Big Data-Based Precision Medicine

For the uncertainty of the current stiffness and the unbalanced vibration during the stable operation of the magnetic suspended control moment gyro(MSCMG), the method of composite hierarchical anti-disturbance control(CHADC) is implemented to realize the stability control of the magnetic bearing system. The parameter uncertainty and unmodeled dynamics are attenuated by robust H∞ controller, when the harmonic disturbances are observed and compensated by disturbance *** on this control framework, this paper proposes a phase compensation method based on tracking differentiator to reduce the influence of switching power amplifier on the design of control system. The observer parameter matrix is adjusted in real time by the speed measurement to achieve unbalanced vibration suppression in the large speed range.

关键词： Magnetic Bearing Anti-disturbance Control Disturbance Observer

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