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19th Annual Conference of China Electrotechnical Society, ACCES 2024

作者： Wang, Baonan Wang, Hui Zhang, Dan College of Computer Science and Technology Shanghai University of Electric Power Shanghai China State Key Laboratory of Power System Operation and Control Dept. of Electrical Engineering Tsinghua University Beijing China Institute of Logistic Science and Engineering Shanghai Maritime University Shanghai China

ISBN: (纸本)9789819608966

Current optimization methods for microgrid scheduling face issues such as insufficient precision in energy distribution, high operational costs, and inefficiency. In response to these challenges, an optimization scheduling method for multi-energy microgrids based on the QUBO (Quadratic Unconstrained Binary Optimization) quantum computing model is proposed in this paper, alongside a discretization approach based on a grid partitioning strategy. To validate the feasibility of addressing microgrid optimization scheduling problems in a quantum computing environment, a QUBO model is constructed and simulation studies are conducted in the qbsolv environment provided by D-Wave. The results indicate that operational costs are significantly reduced with an increase in the number of grids, particularly a reduction of 4.52% when the number of grids increases from five to ten. This method not only effectively enhances the precision of electricity supply and energy utilization efficiency but also reduces unnecessary electrical waste and economic costs. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Microgrids

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Joint Sensing and Computation Incentive Mechanism for Mobile Crowdsensing Networks: A Multiagent Reinforcement Learning Approach

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IEEE Internet of Things Journal 2025年第9期12卷 13033-13046页

作者： Zhao, Nan Sun, Yiling Pei, Yiyang Niyato, Dusit Hubei University of Technology Hubei Key Laboratory for High-Efficiency Utilization of Solar Energy and Operation Control of Energy Storage System Wuhan430061 China Singapore Institute of Technology Information and Communications Technology Cluster Tampines Singapore Nanyang Technological University School of Computer Science and Engineering Jurong West Singapore

Mobile crowdsensing (MCS) is a novel sensing paradigm by utilizing mobile users (MUs) to collect data from environment. Considering the finite sensing and computing resources of MUs, it is crucial to inspire MUs to take part in crowdsensing willingly. In this study, a multiagent-deep-reinforcement-learning (DRL)-based incentive mechanism is investigated to tackle the joint data sensing and computing issues. Specifically, due to the heterogeneity of sensing tasks, multiple MCS platforms (MCPs) motivate MUs to participate in different tasks. The interaction between MCPs and MUs is modeled as a multileader-multifollower Stackelberg game with Stackelberg equilibrium proved by derivation. Moreover, the Stackelberg game is transformed as a Markov decision process (MDP) to deal with a multiagent DRL method without any prior knowledge. Due to the continuous high-dimensional action space of multiple MCPs and MUs, a multiagent double actors deep deterministic policy gradient (MA-DADDPG) algorithm is proposed to obtain the optimal sensing data size, computing resource, and incentive payment policies. Extensive simulation results illustrate the effectiveness of the proposed crowdsensing incentive mechanism. © 2014 IEEE.

关键词： Deep reinforcement learning

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Structure design and analysis of a rigid-soft robotic hand with large load capacity 3

Structure design and analysis of a rigid-soft robotic hand w...

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3rd International Conference on Electrical, Electronics, and Information engineering, EEIE 2024

作者： Wu, Peichen Lan, Fuming Hong, Wen Chen, Xiaoping Shuai, Wei Cui, Guowei Gao, Yang Institute of Intelligent Manufacturing Guangdong Academy of Sciences Guangdong Key Laboratory of Modern Control Technology Guangzhou510070 China Shanghai Institute of Aerospace System Engineering Shanghai201100 China Intelligent Manufacturing Institute of HFUT HeFei230041 China School of Computer Science and Technology University of Science and Technology of China Hefei230026 China

ISBN: (纸本)9781510688179

In recent years, soft grippers have gained significant attention due to their adaptability and safety. However, when performing horizontal object grasping, their limited structural stiffness prevents them from withstanding the torque generated by friction between the gripper and the object, leading to a loss of contact and limiting their horizontal load capacity. To address this limitation while preserving the adaptability of soft grippers, this paper proposes a gripper structure called the rigid-soft robotic hand, which incorporates lateral rigid connecting rods outside the soft joints. The paper analyzes the bending capacity of the rigid-soft joint using kinematic methods and investigates the influence of link design parameters on maximum bending angle. Subsequently, a finite element analysis is conducted to study the finger structure with the added connecting rods, aiming to optimize the link design parameters. Experimental results demonstrate the grasping capabilities of the rigid-soft gripper in both vertical and horizontal orientations. The findings show that the rigid-soft gripper significantly improves the load-carrying capacity during horizontal object grasping while maintaining the adaptability of the soft gripper. © The Authors.

关键词： Robotic arms

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Dynamic Route Optimization for Multi-Vehicle systems with Diverse Needs in Road Networks Based on Preference Games

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Computers, Materials and Continua 2025年第3期83卷 4167-4192页

作者： Wang, Jixiang Wei, Jing Chen, Siqi Yu, Haiyang Ren, Yilong School of Transportation Science and Engineering Beihang University Beijing 100191 China School of Electrical and Control Engineering North China University of Technology Beijing 100144 China Hangzhou Innovation Institute Beihang University Hangzhou 310023 China The State Key Lab of Intelligent Transportation System Beijing 100191 China

The real-time path optimization for heterogeneous vehicle fleets in large-scale road networks presents significant challenges due to conflicting traffic demands and imbalanced resource allocation. While existing vehicle-to-infrastructure coordination frameworks partially address congestion mitigation, they often neglect priority-aware optimization and exhibit algorithmic bias toward dominant vehicle classes—critical limitations in mixed-priority scenarios involving emergency vehicles. To bridge this gap, this study proposes a preference game-theoretic coordination framework with adaptive strategy transfer protocol, explicitly balancing system-wide efficiency (measured by network throughput) with priority vehicle rights protection (quantified via time-sensitive utility functions). The approach innovatively combines (1) a multi-vehicle dynamic routing model with quantifiable preference weights, and (2) a distributed Nash equilibrium solver updated using replicator sub-dynamic models. The framework was evaluated on an urban road network containing 25 intersections with mixed priority ratios (10%–30% of vehicles with priority access demand), and the framework showed consistent benefits on four benchmarks (Social routing algorithm, Shortest path algorithm, The comprehensive path optimisation model, The emergency vehicle timing collaborative evolution path optimization method) showed consistent benefits. Results show that across different traffic demand configurations, the proposed method reduces the average vehicle traveling time by at least 365 s, increases the road network throughput by 48.61%, and effectively balances the road loads. This approach successfully meets the diverse traffic demands of various vehicle types while optimizing road resource allocations. The proposed coordination paradigm advances theoretical foundations for fairness-aware traffic optimization while offering implementable strategies for next-generation cooperative vehicle-road systems, particul

关键词： different needs dynamic route selection large-scale road network Preference game vehicle road coordination

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Quantitative Source Apportionment and Transfer Mechanism of Pb in Different Compartments of Soil-Wheat system: A Fresh Insight from Pb Isotopic Composition, Fractionation and Inverse Distance Weightings

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Bulletin of Environmental Contamination and Toxicology 2025年第5期114卷 1-8页

作者： Li, Yipeng Ding, Renqi Wu, Di Ruan, Xinling Li, Zhihong Chen, Zhifan College of Geographical Sciences Faculty of Geographical Science and Engineering Henan University Zhengzhou450046 China Henan Engineering Research Center for Control and Remediation of Soil Heavy Metal Pollution Henan University Kaifeng475004 China Henan Key Laboratory of Earth System Observation and Modeling Henan University Kaifeng475004 China MLR Key Laboratory of Isotope Geology Institute of Geology Chinese Academy of Geological Sciences Beijing100037 China

Lead (Pb) pollution has always been a persistent and unresolved environmental issue of great concern. This study innovatively applied Pb isotopic compositions and inverse distance weighting (IDW) to quantitatively identify Pb source contributions in the soil-wheat system in Kaifeng, China. Results showed Pb concentrations followed as soil > root > stem > shell > grain, with 18.2% of grains exceeding the National food safety standard (0.2 mg kg⁻¹). Quantitative source identification displayed atmospheric deposition contributed 66.82%, 66.32% and 63.00% to grains, leaves and shells, respectively, while sewage irrigation accounted for 67.74%, 58.61% and 57.56% in roots, stems and soils. Lighter Pb isotopes from atmospheric deposition were more readily absorbed by leaves and enriched in grains, whereas roots and stems retained heavier isotopes from sewage irrigation, effectively blocking their migration to grains and reducing health risks. This study provides valuable insights into Pb uptake, migration, and mechanisms in the soil-wheat system. It is commended reasonable regulation of rhizosphere soil and atmospheric environment or physiological interference on wheat growth might be an effective way to reduce the risk of Pb enrichment in wheat grains. © The Author(s), under exclusive licence to Springer science+Business Media, LLC, part of Springer Nature 2025.

关键词： Grain (agricultural product)

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NO reduction by carbon-based gases based on coal gasification fractions:NO reduction intermediate identification and kinetic analysis

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Frontiers of Environmental science & engineering 2025年第3期19卷 175-189页

作者： Xiang Zhang Jian Tian Tanghui Hu Guangyong Yue Xianlong Liu Wen Zhou Xiaohong Liu Xinye Wang Ministry-of-Education Key Laboratory for the Green Preparation and Application of Functional Materials Hubei Engineering Research Center for Green Industrialization Technology of Industrial WasteSchool of Materials Science and EngineeringHubei UniversityWuhan 430062China Hubei Huda Tianshu New Energy Materials Industrial Research and Design Institute Co. Ltd.Wuhan 430062China Wuhan Tianshu Dust Removal Equipment Co. Ltd.Wuhan 430062China Engineering Laboratory for Energy System Process Conversion&Emission Control Technology of Jiangsu Province School of Energy and Mechanical EngineeringNanjing Normal UniversityNanjing 210042China

Combining pulverized coal gasifiers with cement kiln production is promising for application in low-cost and efficient NO *** paper presents a pulverized coal gasifier catalytic denitration technique and investigates the homogeneous reduction(by CO and CH_(4))and heterogeneous catalytic reduction(by coke,CaO,MgO,and Fe_(2)O_(3))of NO.A combination of Chemkin simulations and fixed-bed experiments is used to elucidate the reaction pathways and key intermediates of NO reduction by carbon-based *** addition,the activation energies for different catalyst combinations were analyzed via reaction *** results demonstrate that the presence of small amounts of O_(2) inhibits NO reduction by CO but promotes NO reduction by CH_(4).The NCO·radical is essential for the NO reduction process,and the generation of this radical depends on the CH_(4) cleavage intermediate and O·*** and Fe_(2)O_(3) exhibit more significant catalytic effects on NO reduction by carbon-based gases than the other catalysts *** presence of a small amount of O_(2) in the reacting gas mixtures facilitates the NO reduction *** activation energy is reduced to 1.02 kJ/mol,and the NO conversion reaches 99.80%when the catalyst is C+CaO+MgO+Fe_(2)O_(3) and the gas composition is CO+CH_(4)+O_(2).This work provides theoretical support and data recommendations for the use of pulverized coal gasifiers for the denitrification of cement kilns.

关键词： Carbon-based gas Catalytic denitration Coke Kinetic analysis Reaction mechanism

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Numerical Simulation of Flow Field around NACA 0012 Airfoil at Low Reynold’s Number Assuming Mars Environment using OpenFoam

Numerical Simulation of Flow Field around NACA 0012 Airfoil ...

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AIAA science and Technology Forum and Exposition, AIAA SciTech Forum 2025

作者： Okamoto, Atsushi Yamada, Takafumi Advanced Mechanical and Control System Engineering Course National Institute of Technology Tsuyama College 624-1 Okayama Numa Tsuyama708-8509 Japan Associate Professor Department of Integrated Science and Technology National Institute of Technology Tsuyama College 624-1 Okayama Numa Tsuyama708-8509 Japan

ISBN: (数字)9781624107238

ISBN: (纸本)9781624107238

In this study, incompressible flow fields around a NACA0012 airfoil were numerically simulated at low Reynolds number for a Mars environment. For mesh generation, the standard Open FOAM utilities block Mesh and snappy HexMesh were used. Using those meshes and pisoFoam, which is PISO method-based analysis solver, NASA wind tunnel test conditions were numerically simulated in the Earth environment and obtained a similar lift gradient as in the experiment up to the stall. Then, the flow field of 12,000 Reynolds number, which simulates the Martian environment, was calculated. The variation of lift coefficient with increasing angle of attack was almost consistent with the experimental value in the Earth environment, and the stall angle was 16°. From the results of pressure distribution on the wing surface, it is suggested that compared to the Earth environment, the separation point movesfrom the leading edge to aft of the wing upper surface in the Martian environment. The flow field at the stall angle was similar to that of the Earth environment, and vortices were formed, however, their velocity vectors were very small, and dead water regions were observed near the trailing edge of the wing upper surface. More detailed aerodynamic characteristics should be clarified by evaluating the results using drag and moment coefficients until the SciTech Forum 2025. © 2025, American institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： NASA

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A third-party platoon coordination service: Pricing under government subsidies

A third-party platoon coordination service: Pricing under go...

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作者： Bai, Ting Johansson, Alexander Li, Shaoyuan Johansson, Karl Henrik Mårtensson, Jonas School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Stockholm Sweden KTH Royal Institute of Technology Stockholm Sweden Department of Automation Shanghai Jiao Tong University Shanghai China Key Laboratory of System Control and Information Processing Shanghai Jiao Tong University Shanghai China Digital Futures Stockholm Sweden

This paper models a platooning system consisting of trucks and a third-party service provider (TPSP), which performs platoon coordination, distributes the platooning profit in platoons, and charges trucks in exchange for the services. Government subsidies used to incentivize platooning are also considered. We propose a pricing rule for the TPSP, which keeps part of the platooning profit including the subsidy each time a platoon is formed. In addition, a platoon coordination solution based on the distributed model predictive control (MPC) is proposed, in which the pricing rule under government subsidies is integrated. We perform a realistic simulation over the Swedish road network to evaluate the impact of the pricing rule and subsidies on the achieved profits and fuel savings. Our results show that subsidies are an effective mean to boost fuel savings from platooning. Moreover, the simulation study indicates that high pricing corresponds to a low platooning rate of the system, as trucks' incentives for platooning decrease. © 2023 The Authors. Asian Journal of control published by John Wiley & Sons Australia, Ltd on behalf of Chinese Automatic control Society.

关键词： Trucks

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Optimal Multi-Perturbation and Multi-Constraint Mission Planning for On-Orbit Refueling in Geo Satellites

SSRN

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SSRN 2025年

作者： Li, Xinhan Yan, Shuai Wang, Lijiao Li, Zhi Zhou, Qi School of Aerospace Engineering Huazhong University of Science & Technology Wuhan430074 China Beijing Institute of Control Engineering Beijing100094 China Beijing Institute of Spacecraft System Engineering Beijing100094 China

On-Orbit Refueling (OOR) mission planning for Geostationary Earth Orbit (GEO) satellites is of significant importance for enhancing spacecraft service efficiency and reducing operational losses during mission execution. To address the challenges posed by multi-perturbation and multi-constraint in space on OOR mission planning, this paper proposes a Multi-Perturbation Compensation Bi-Level Planning Model (MPC-BPM). This model aims to solve the issues of trajectory deviation control during satellite transfer under multi-perturbation and optimal task allocation under multi-constraint. Firstly, a perturbation compensation model is constructed to account for various perturbative factors involved in OOR mission planning, such as the J2 nonspherical perturbation, solar radiation pressure, and three-body gravity. Subsequently, in the outer layer of MPC-BPM, an Improved Genetic Algorithm (IGA) is proposed to optimize the allocation and sequencing of service tasks, addressing discrete variables and combinatorial optimization problems to enhance the rationality of task scheduling and execution efficiency. In the inner layer of MPC-BPM, combined with the perturbation compensation model, a Velocity-updated Neural Population Dynamics Optimization Algorithm (VNPDOA) is proposed to handle continuous variables and complex nonlinear optimization problems, achieving optimal fuel consumption under multi-constraint conditions. Simulations using real satellite data reveal that MPC-BPM surpasses three other comparative models in convergence speed, fuel efficiency, and trajectory accuracy, conserving a minimum of 350 kg of fuel under identical conditions. After applying the perturbation compensation model, the cumulative error during orbital transfers is significantly reduced, and the transfer precision is improved to the 0.001 km level. Overall, experimental results fully demonstrate the effectiveness and reliability of MPC-BPM in OOR mission planning under multi-perturbation and multi-co

关键词： Orbital transfer

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High Efficiency Wiener Filter-based Point Cloud Quality Enhancement for MPEG G-PCC

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IEEE Transactions on Circuits and systems for Video Technology 2025年

作者： Wei, Yuxuan Wang, Zehan Guo, Tian Liu, Hao Shen, Liquan Yuan, Hui Shandong University School of Control Science and Engineering Jinan250061 China Ministry of Education Key Laboratory of Machine Intelligence and System Control Jinan250061 China Yantai University School of Computer and Control Engineering Yantai264005 China Shanghai University Shanghai Institute for Advanced Communication and Data Science Shanghai200072 China

Point clouds, which directly record the geometry and attributes of scenes or objects by a large number of points, are widely used in various applications such as virtual reality and immersive communication. However, due to the huge data volume and unstructured geometry, efficient compression of point clouds is very crucial. The Moving Picture Expert Group is establishing a geometry-based point cloud compression (G-PCC) standard for both static and dynamic point clouds in recent years. Although lossy compression of G-PCC can achieve a very high compression ratio, the reconstruction quality is relatively low, especially at low bitrates. To mitigate this problem, we propose a high efficiency Wiener filter that can be integrated into the encoder and decoder pipeline of G-PCC to improve the reconstruction quality as well as the rate-distortion performance for dynamic point clouds. Specifically, we first propose a basic Wiener filter, and then improve it by introducing coefficients inheritance and variance-based point classification for the Luma component. Besides, to reduce the complexity of the nearest neighbor search during the application of the Wiener filter, we also propose a Morton code-based fast nearest neighbor search algorithm for efficient calculation of filter coefficients. Experimental results demonstrate that the proposed method can achieve average Bjøntegaard delta rates of -6.1%, -7.3%, and -8.0% for Luma, Chroma Cb, and Chroma Cr components, respectively, under the condition of lossless-geometry-lossy-attributes configuration compared to the latest G-PCC encoding platform (i.e., geometry-based solid content test model version 7.0 release candidate 2) by consuming affordable computational complexity. © 2025 IEEE. All rights reserved.

关键词： Wiener filtering

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