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第34届中国控制与决策会议

作者： Shuyan Zhou Xuesong Wang School of Information and Control Engineering China University of Mining and Technology Engineering Research Center of Intelligent Control for Underground Space Ministry of EducationChina University of Mining and Technology

This work develops a robust adaptive control strategy for uncertain strict-feedback systems under unknown time-varying control coefficients and time-varying full state *** the currently studied case where the constraint boundary is dependent on time only,the constraint boundary here depends on the desired trajectory and partial states of the system as well as *** presented control strategy can ensure that such time-varying full state constraints are not violated,but also guarantee the ultimate bounded stable *** simulation and systematic stability analysis also verify the effectiveness of the presented control strategy.

关键词： Robust Adaptive control Nonlinear Systems Full State Constraints

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3D structure and stability prediction of DNA with multi-way junctions in ionic solutions

arXiv

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arXiv 2025年

作者： Wang, Xunxun Shi, Ya-Zhou Guizhou Key Laboratory of Microbio and Infectious Disease Prevention & Control School of Biology and Engineering Guizhou Medical University Guiyang550025 China Research Center of Nonlinear Science School of Mathematical and Physical Sciences Wuhan Textile University Wuhan430073 China

Understanding the three-dimensional (3D) structure and stability of DNA is fundamental for its biological function and the design of novel drugs. In this study, we introduce an improved coarse-grained (CG) model, incorporating a more refined electrostatic energy term, the replica-exchange Monte Carlo algorithm, and the weighted histogram analysis method. The enhanced model predicts the 3D structures and stability of DNA with multi-way junctions (three-way and four-way) in various ionic environments, going beyond traditional single-stranded DNA (ssDNA) and double-stranded DNA (dsDNA). Our model demonstrates remarkable accuracy in predicting the structures of DNAs with multi-way junctions from sequences and offers reliable estimates of their thermal stability across a range of sequences and lengths, with both monovalent and divalent salts. Notably, our analysis of the thermally unfolding pathways reveals that the stability of DNA with multi-way junctions is strongly influenced by the relative stabilities of their unfolded intermediate states, providing key insights into DNA structure-function relationships. Copyright © 2025, The Authors. All rights reserved.

关键词： Coarse-grained modeling

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Accurate Identification and Localization of Transmission Lines under Complex Lighting for Distribution Network Power Supply Operation Robots

Accurate Identification and Localization of Transmission Lin...

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2024 China Automation Congress, CAC 2024

作者： Liu, Tianhe Chen, Xin Hu, Chenyu Jian, Xu Li, Shengzu Wang, Gang School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan430074 China Equipment Technology Center State Grid Hubei Electric Power Co. Ltd. Electric Power Science Research Institute Wuhan430077 China Distribution Department State Grid Hubei Electric Power Co. Ltd. Wuhan Power Supply Company 430070 China

ISBN: (纸本)9798350368604

Accurate identification and position of transmission lines is critical for robots to safely and effectively perform distribution network operations. However, such tasks are often challenged by complex lighting conditions, where depth information can be easily lost. Transmission lines have limited texture features and reflective surfaces, making it difficult to match image feature points. To address these challenges, this paper proposes a visual perception system for weak texture targets under complex lighting, based on an "eye-on-hand" configuration and a depth complementation algorithm. Furthermore, a high-precision identification and localization method for transmission line grasping points is developed, utilizing the fusion of binocular visual color maps and depth maps. The proposed method has been shown to effectively solve the problem of identifying and localizing the grasping points of transmission lines under complex lighting conditions. Experiments demonstrated that the method can improve the localization accuracy to within ±4mm, outperforming other algorithms. The method is characterized as simple and efficient, and it enhances the environmental adaptability of distribution network robots. © 2024 IEEE.

关键词： Binocular vision

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MANEUVER DECISION-MAKING WITH TRAJECTORY STREAMS PREDICTION FOR AUTONOMOUS VEHICLES

arXiv

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arXiv 2024年

作者： Jamal, Mais Panov, Aleksandr Cognitive Modeling Center Moscow Institute of Physics and Technology Dolgoprudny141701 Russia Federal Research Center "Computer Science and Control" Russian Academy of Sciences Moscow119333 Russia AIRI Moscow123112 Russia

Decision-making, motion planning, and trajectory prediction are crucial in autonomous driving systems. By accurately forecasting the movements of other road users, the decision-making capabilities of the autonomous system can be enhanced, making it more effective in responding to dynamic and unpredictable environments and more adaptive to diverse road scenarios. This paper presents the FFStreams++ approach for decision-making and motion planning of different maneuvers, including unprotected left turn, overtaking, and keep-lane. FFStreams++ is a combination of sampling-based and search-based approaches, where iteratively new sampled trajectories for different maneuvers are generated and optimized, and afterward, a heuristic search planner is called, searching for an optimal plan. We model the autonomous diving system in the Planning Domain Definition Language (PDDL) and search for the optimal plan using a heuristic Fast-Forward planner. In this approach, the initial state of the problem is modified iteratively through streams, which will generate maneuver-specific trajectory candidates, increasing the iterating level until an optimal plan is found. FFStreams++ integrates a query-connected network model for predicting possible future trajectories for each surrounding obstacle along with their probabilities. The proposed approach was tested on the CommonRoad simulation framework. We use a collection of randomly generated driving scenarios for overtaking and unprotected left turns at intersections to evaluate the FFStreams++ planner. The test results confirmed that the proposed approach can effectively execute various maneuvers to ensure safety and reduce the risk of collisions with nearby traffic agents. © 2024, CC BY.

关键词： Autonomous vehicles

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Cooperative control Based on Distributed Model Predictive control Method for Urban Rail Transit

Cooperative Control Based on Distributed Model Predictive Co...

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IEEE International Conference on Networking, Sensing and control

作者： Jiahui Lv Jidong Lv Hongjie Liu Zhengwei Luo Bingyan Zhou Qianying Ma School of Automation and Intelligence (Beijing Jiaotong University) Beijing China National Engineering Research Center of Rail Transportation Operation and Control System Beijing Jiaotong University Beijing China

ISBN: (数字)9798350365221

ISBN: (纸本)9798350365238

Focused on the challenge of train's high-density tracking control for urban rail transit, a cooperative control method based on Distributed Model Predictive control (DMPC) is studied. Firstly, the force of the train is analyzed and the state space model of train operation is established. Upon this foundational framework, the control objectives of the train control system and corresponding control strategies are proposed. Secondly, to ensure the safety of train operations, the DMPC is used to design a cooperative train consistency control algorithm that considers the dynamic parameters such as the position, speed, and acceleration of the front train. The stability of the train control system is analyzed and verified by the Lyapunov stability theorem. Finally, combined with the west section of Beijing Metro Line No. 11, the proposed method is simulated and verified. The experimental results show that the proposed train cooperative control method can ensure the safe operation of trains, and make the state of trains consistent and have good synchronization. Compared with the following control method, the cooperative control method can reduce the train spacing and speed difference, increasing by 85% and 76% respectively.

关键词： Rails State feedback Heuristic algorithms Simulation Stability analysis Sensors Safety Synchronization Predictive control Lyapunov methods

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Electric field effect on the charge density wave in the quasi-one-dimensional semimetal Ta2NiSe7

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Physical Review B 2024年第16期110卷 165136页

作者： Chao Yao Libin Wen Yi Zhao Yanglin Zhu Yu Wang Guoxiong Tang Xiaoxian Yan Junman Zhang Yingxue Huang Hong Sun Zhiqiang Mao Yanpeng Qi Yi Zheng Hui Xing Key Laboratory of Artificial Structures and Quantum Control and Shanghai Center for Complex Physics School of Physics and Astronomy School of Physical Science and Technology Department of Physics and Materials Research Institute School of Physics and State Key Laboratory of Silicon and Advanced Semiconductor Materials

The charge density wave (CDW) instability often requires the participation of electron density of state at the Fermi level for the electronic energy gain in the structurally modulated phase, whether it is due to Fermi surface nesting (FSN) or the electron-phonon coupling mechanism. The physics of the CDW in the quasi-one-dimensional semimetal Ta2NiSe7 remains elusive for the lack of consistent Fermi surface response in the CDW state. Here, we investigate the electric-field effect in the CDW state in Ta2NiSe7 using ionic liquid gated field-effect transistors (iFETs) fabricated based on 10–20-nm-thick flakes. The strong electric field at the ionic liquid/flake interface and low carrier density in Ta2NiSe7 facilitate a finite electric-field response in the CDW state. The onset temperature of CDW shows a nearly negligible electric field dependence, whereas the resistivity shows a sizeable tunability: the resistivity increases at positive gating in the normal state but decreases in the CDW state instead. Our first-principles calculations revealed nested holelike Fermi surfaces with a nesting vector weakly coupled with electric-field gating and a nesting area increasing more significantly in a negative electric gating than in a positive electric gating. The calculated Fermi surfaces provide an adequate account for the intricate transport in Ta2NiSe7, which indicates the dominant role of FSN in the CDW mechanism under current debate in this system.

关键词： Charge density waves Density of states Electric field effects Electrical conductivity Fermi surface Transport phenomena Field-effect transistors

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Gelation mechanisms of gel polymer electrolytes for zinc-based batteries

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Chinese Chemical Letters 2024年第5期35卷 97-116页

作者： Mengjun Sun Zhi Wang Jvhui Jiang Xiaobing Wang Chuang Yu Collaborative Innovation Center of Henan Province for Green Manufacturing of Fine Chemicals Key Laboratory of Green Chemical Media and ReactionsMinistry of EducationSchool of Chemistry and Chemical EngineeringHenan Normal UniversityXinxiang 453007China Key Laboratory for Yellow River and Huaihe River Water Environment and Pollution Control Ministry of EducationHenan Key Laboratory for Environmental Pollution ControlSchool of EnvironmentHenan Normal UniversityXinxiang 453007China State Key Laboratory of Advanced Electromagnetic Engineering and Technology School of Electrical and Electronic EngineeringHuazhong University of Science and TechnologyWuhan 430074China

Zinc-based batteries(ZBs)have been deemed as a potential substitute for lithium-ion batteries due to its unique advantages of abundant resources,low cost and acceptable energy *** great progress in designing electrode materials has been made,the development of high-performance ZBs still remain challenges,such as the dendrite growth of zinc anode,hydrogen evolution reaction,limited electrochemical stability window,water evaporation and liquid *** polymer electrolytes(GPEs),including hydrous GPEs with low content of active water and anhydrous GPEs without the presence of water,are proposed to avoid these ***,employing GPEs is conductive to fabricate flexible devices owing to the good mechanical *** date,most of researches focus on discovering new GPEs and exploring its application on flexible or wearable *** reviews also have outlined the polymer matrixes and advances of GPEs in various battery *** this,herein,we seek to summarize the gelation mechanisms of GPEs,involving physical gel of polymer,chemical crosslinking of polymer and chemical polymerization of ***,the preparation methods are also *** addition,not only the features and central conundrum of GPEs are analyzed but also the corresponding strategies are discussed,contributing to design GPEs with ideal properties for high-performance ZBs.

关键词： Gelation mechanisms Gel polymer electrolytes Zinc-based batteries Gelation methods

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Luxury Goods Identification based on Multi-Head Convolutional Neural Network with Attractor Loss

Luxury Goods Identification based on Multi-Head Convolutiona...

引用

2023 China Automation Congress, CAC 2023

作者： Qi, Binchuan Gong, Wei Li, Li Jiao, Zhenzhen Jin, Jian Tongji University The Department of Control Science and Engineering Shanghai China Shanghai Research Institute for Intelligent Autonomous Systems Tongji University Shanghai China Beijing Teleinfo Technology Co. Ltd. Caict IF-Labs Beijing China China Academy of Information and Communications Technology Beijing China

ISBN: (纸本)9798350303759

The counterfeit goods trade is a global issue. Traditionally, customized equipment, elaborate labeling, and expert inspection are the primary ways to identify fakes. In recent years, deep learning technology has been used for counterfeit identification based on image detection and classification. There are two critical challenges. First, in real-world situations, the counterfeiting patterns are diverse, while the genuine ones are often identical. This is because counterfeit goods may be partially assembled from some parts of genuine products. Second, authenticating a counterfeit as genuine can cause a lot of trouble. To address these issues, we propose a novel end-to-end algorithm that combines a new Multi-Head Convolution Neural Network (MH-CNN) with a new Loss function named Attractor Loss (AtL) and applies it to image classification of real and fake goods. Technically, our method takes multiple images of different positions of an object as input. Then it outputs 1) the classification probability of belonging to a real class, and 2) a feature vector that is used for nearest neighbor retrieval. On engineering implementation, we integrate an MH-CNN structure, which contains a shared CNN backbone for extracting deep features and multiple heads for computing the deep representation of different positions. To improve the recognition performance, we propose a joint training method to train the MH-CNN model and propose a new AtL to filter vector representation of images from real class and pull them closer for enhancing the recognition rate without loss of accuracy. Extensive experimental results demonstrate the superior performance of our proposed method. © 2023 IEEE.

关键词： Convolutional neural networks

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Triply heavy baryon spectroscopy in the relativistic quark model

引用

Physical Review D 2022年第1期105卷 014013-014013页

作者： R. N. Faustov V. O. Galkin Federal Research Center “Computer Science and Control” Russian Academy of Sciences Vavilov Street 40 119333 Moscow Russia

Triply heavy baryons are investigated in the framework of the relativistic quark model based on the quark-diquark picture in the quasipotential approach in QCD. Masses of the ground and excited states of the Ωccc, Ωbbb, Ωccb, and Ωcbb baryons are calculated. Orbital and radial excitations between the diquark and quark as well as between quarks inside the diquark are considered. The diquark internal structure is consistently taken into account by the form factor of the diquark-gluon interaction expressed through the overlap integral of the diquark wave functions. A detailed comparison with previous calculations is given.

关键词： Quark model

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The Potential Benefits of Oreochromis Mossambicus Derived Hydrophobic Peptides in Protecting the Skin Against Uva-Induced Damage

SSRN

引用

SSRN 2024年

作者： Yao, Hui Wang, Siyi Fu, Baifeng Xu, Xianbing Cheng, Shuzhen Du, Ming SKL of Marine Food Processing & Safety Control School of Food Science and Technology Dalian Polytechnic University Dalian116034 China National Engineering Research Center of Seafood Collaborative Innovation Center of Seafood Deep Processing Dalian Polytechnic University Dalian116034 China

Excessive UV radiation activates key factors in the MAPK signaling pathway, leading to oxidative stress and upregulation of genes associated with matrix metalloproteinases (MMPs). This accelerates the degradation of collagen and elastin, resulting in reduced skin elasticity. Tilapia scale collagen peptides (TSCPs) were isolated in this study using a C18 chromatographic column. Fraction 5 (F5) was obtained with significant hydrophobicity and high elastase inhibitory activity. According to docking results, the important peptide in F5 competed with the specific amino acids at the active site, effectively reducing elastase activity. By scavenging free radicals like ROS, hydrophobic peptide F5 also reduced oxidative damage. Furthermore, in UVA-irradiated cells, F5 can help maintain collagen and elastin levels by inhibiting MMPs responsible for their degradation. Lastly, F5 demonstrated a protective effect against UVA rays in HFF-1 cells, and prevented the loss of skin elasticity. These findings highlight the potential of hydrophobic peptide F5 derived from TSCPs for use in cosmetic and health products. © 2024, The Authors. All rights reserved.

关键词： Elastin

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