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9th International Conference on Fluid Power and Mechatronics, FPM 2023

作者： Han, Bo Wang, Zhaoqiang Ji, Hong Sun, Lingtao Lu, Yangjun School of Mechanical and Automotive Engineering Shanghai University of Engineering Science Shanghai China School of Fluid Power and Control Engineering Lanzhou University of Technology Lanzhou China

ISBN: (数字)9798350304947

ISBN: (纸本)9798350304947

In this paper, the lubrication model of the cylinder block/valve plate sliding interface of the axial piston pump considering elastic deformation under instantaneous working conditions is established. The oil film carrying pressure and asperity microcontact pressure are calculated using Reynolds equation, Greenwood-Williamson asperity micro contact model, Hertz contact theory. The dynamic analysis is carried out, and the Newton-Raphson iterative method is introduced to solve the nonlinear equations. The influence of operating pressure, cylinder speed and sealing belt width on the friction characteristics of the port plate pair is analyzed by using the numerical calculation model. The numerical analysis results reveal that three iterations have converged, that increasing speed and pressure can both increase friction and torque, and that adjusting the sealing belt width affects the oil film support area, resulting in a change in friction characteristics. © 2023 IEEE.

关键词： Elastohydrodynamic lubrication

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The impact of information dissemination on vaccination in multiplex networks

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science China(Information sciences) 2022年第7期65卷 185-196页

作者： Xiao-Jie LI Cong LI Xiang LI Adaptive Networks and Control Lab Department of Electronic EngineeringFudan University Research Center of Smart Networks and Systems School of Information Science and EngineeringFudan University MOE Frontiers Center for Brain Science Institutes of Brain Science Fudan University

The impact of information dissemination on epidemic control is essentially subject to individual behaviors. Vaccination is one of the most effective strategies against the epidemic spread, whose correlation with the information dissemination should be better understood. To this end, we propose an evolutionary vaccination game model in multiplex networks by integrating an information-epidemic spreading process into the vaccination dynamics, and explore how information dissemination influences vaccination. The spreading process is described by a two-layer coupled susceptible-alert-infected-susceptible(SAIS) model, where the strength coefficient between two layers characterizes the tendency and intensity of information *** find that the impact of information dissemination on vaccination decision-making depends on not only the vaccination cost and network topology, but also the stage of the system evolution. For instance, in a two-layer BA scale-free network, information dissemination helps to improve vaccination density only at the early stage of the system evolution, as well as when the vaccination cost is smaller. A counter-intuitive conclusion that more information transmission cannot promote vaccination is obtained when the vaccination cost is larger. Moreover, we study the impact of the strength coefficient and individual sensitivity on the fraction of infected individuals and social cost, and unveil the role of information dissemination in controlling the epidemic.

关键词： evolutionary game theory epidemic modeling network dynamics

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Fuzzy-Model-Based Fault-Tolerant control for Stochastic Re-Entrant Manufacturing Systems

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IEEE Transactions on Systems, Man, and Cybernetics: Systems 2025年第5期55卷 3542-3556页

作者： Zhang, Kexin Gao, Qing Ding, Steven X. Lu, Jinhu Qiu, Jianbin Guo, Yige Beihang University School of Cyber Science and Technology Beijing100191 China Beihang University School of Automation Science and Electrical Engineering Beijing100191 China Hangzhou Innovation Institute Beihang University Hangzhou310051 China Zhongguancun Laboratory Beijing100095 China Institute for Automatic Control and Complex Systems University of Duisburg-Essen Duisburg47057 Germany Research Institute of Intelligent Control and Systems Harbin Institute of Technology Harbin150001 China Zhongguancun Laboratory Beijing China

This study addresses the problem of guaranteed cost fault-tolerant fuzzy control for multiline re-entrant manufacturing systems (RMSs) against stochastic disturbances and workstation faults. Initially, a nonlinear hyperbolic impulsive partial differential equation model is employed to describe the complex and hybrid dynamics of RMSs suffering from unexpected faults within the working stations, and then the corresponding approximation T-S fuzzy model is constructed. In what follows, with the aid of the parallel distributed compensation fuzzy control scheme, the main results of stability analysis and controller synthesis for the closed-loop re-entrant manufacturing control system are derived using a timer-dependent Lyapunov functional with spatio-temporal auxiliary variables. It is found that by means of the proposed fault-tolerant control approach, the RMS can be effectively and robustly driven to a desired production mode with steady feeding and production rates while the upper bound of a quadratic cost function is minimized. Finally, the effectiveness of the proposed control approach is validated through numerical simulations. © 2013 IEEE.

关键词： Fuzzy control

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Solving FDE by trigonometric neural network and its applications in simulating fractional HIV model and fractional Schrodinger equation

Solving FDE by trigonometric neural network and its applicat...

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作者： Gao, Feng Chi, Chunmei School of Science Qingdao University of Technology Qingdao China School of Information and Control Engineering Qingdao University of Technology Qingdao China

In this paper, we put forward numerical algorithms to simulate fractional HIV infected CD4+T cell model and fractional Schrodinger equation. First, we put forward numerical algorithm to solve fractional differential systems with trigonometric neural network. Then trigonometric neural network method is used to simulate the fractional HIV infected CD4+T cell model. It is found that the infection equilibrium has the restriction condition for the number of virus particles released by each infected cell. Under this condition, the fractional system has a unique positive equilibrium. Second, we put forward numerical algorithm to solve fractional PDE with trigonometric neural network. Then this numerical method is used to simulate fractional Schrodinger equation, and some important results in fractional quantum mechanics are concluded by the corresponding numerical results. © 2021 John Wiley & Sons, Ltd.

关键词： Differential equations

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An improved SAC algorithm based optimal configuration of energy storage

An improved SAC algorithm based optimal configuration of ene...

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7th International Conference on Electronics Technology, ICET 2024

作者： Chen, Hongyuan Du, Ninghui Hu, Zhihao Du, Chunshui Shandong University School of Control Science and Engineering Jinan China Northeast Electric Power University School of Economics and Management Jilin China

ISBN: (纸本)9798350363951

In the dual high renewable energy system of microgrids, energy storage is crucial for addressing the randomness and intermittency of renewable energy sources. The purpose of energy storage optimal configuration is to ensure reliable operation while simultaneously maximize the benefits of peak-valley arbitrage and minimize investment and operation costs. Firstly, this paper constructs a configuration model based on annual historical data and formalizes the configuration process as a Markov decision process (MDP), considering energy storage lifespan and carbon emissions. Secondly, an improved soft actorcritic (SAC) algorithm is proposed, which effectively enhances training efficiency by dynamic reward function with feedback signals and a safety constraint mechanism, thereby completing energy storage optimal configuration and achieving optimal economic benefits. Case simulations demonstrate the feasibility and superiority of the proposed method. © 2024 IEEE.

关键词： Markov processes

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Maneuverability Prediction and Mechanism of Propulsion-controlled Aircraft 7th

Maneuverability Prediction and Mechanism of Propulsion-Contr...

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7th China Aeronautical science and Technology Conference, CASTC 2024

作者： Gong, Lei Zhang, Shuguang Jiang, Feihong Zhang, Junhong Hei, Wenjing Department of Flight Control AVIC the First Aircraft Institute Shaanxi710089 China School of Transportation Science and Engineering Beihang University Beijing100191 China

ISBN: (纸本)9789819797677

Using engine thrust for flight control, also known as Propulsion-controlled Aircraft (PCA), is a possible emergency control method after total failure of normal flight control system. In response to the fact that the maneuverability of PCA in existing research is mainly evaluated through simulators and flight tests, this paper theoretically derives and establishes a prediction method for longitudinal and lateral maneuverability of PCA control. Based on parameters of typical civil transport aircraft, the differences in dynamic mechanisms between PCA control and conventional aerodynamic control surface are revealed, and typical boundaries of maneuverability are predicted. The results indicate that, for civil transport aircraft, the contribution terms of PCA manipulation to normal load factor include, in descending order, the angle of attack term, airspeed term, and the normal component term of thrust. The ability to generate roll rate is directly proportional to magnitude of differential thrust, roll static stability, and engine span arm, and inversely proportional to roll damping and yaw static stability. From a perspective of quantitative maneuverability, for a typical civil transport aircraft, the maximum normal load capacity of PCA manipulation is about 0.2g, with the contribution ratio of angle of attack, airspeed, and thrust components being about 54%, 40% and 6%, respectively. The maximum roll rate that can be generated in the lateral control is about 6°/s. © Chinese Society of Aeronautics and Astronautics 2025.

关键词： Angle of attack

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Deep Learning-driven Fast Planning of Informative Sensing for Environmental Field Reconstruction 6

Deep Learning-driven Fast Planning of Informative Sensing fo...

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6th IEEE Information Technology, Networking, Electronic and Automation control Conference, ITNEC 2023

作者： Wang, Kun Yang, Siyuan Cheng, Qingyuan Li, Teng Shandong University School of Control Science and Engineering Jinan China The University of British Columbia Department of Mechanical Engineering Vancouver Canada

ISBN: (纸本)9781665460033

Informative sensing facilitates the effectiveness and efficiency for environmental monitoring. This paper investigates a deep learning approach that can estimate the optimal results of informative sensing in a random field. First, a Gaussian process (GP) is designated to characterize an environmental field. Then, mutual information over the covariance function of GP is utilized to define the near-optimal locations as the most informative sampling places in the field. At last, a deep neural network is developed to learn the intercorrelation between the covariance function and the the most informative sampling places, which can provide an near online planning of the MI optimization process. In this paper, the experimental results on a real-world dataset validate the proposed learning framework. © 2023 IEEE.

关键词： Deep neural networks

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Performance analysis of vertical smart isolator based on magnetorheological elastomer

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International Journal of Smart and Nano Materials 2024年第4期15卷 835-854页

作者： Fan Zeng Feng Zhou Jiangtao Li Meng Li Qi Wang Ning Ma Xufeng Dong Power Control Department Naval Submarine AcademyQingdaoPeople’s Republic of China School of Infrastructure Engineering Dalian University of TechnologyDalianPeople’s Republic of China College of Civil Engineering and Architecture Hainan UniversityHaikouPeople’s Republic of China School of Materials Science and Engineering Dalian University of TechnologyDalianPeople’s Republic of China

As one of the field-dependent smart materials whose stiffness and damping properties can change instantaneously and reversibly,magnetorheological elastomer(MRE)has been extensively utilized on base isolation for vibration ***,most previous studies have focused on the shear dynamic performance of MRE isolators,and there are few reports on the vertical extrusion performance of basic isolators within construction *** this paper,MRE materials with strong bearing capacity and suitable vertical stiffness were fabricated by comprehensively considering the selection of raw materials,particle ratio,and sample *** tension-compression viscoelasticity of the prepared MRE under varying magnetic fields and strain amplitudes was experimentally evaluated using an MRE axial MR testing ***,a single-degree-of-freedom dynamic test rig for vibration isolation of equipment in buildings,which integrates a vertical isolator with MRE as the core component,was constructed to perform a series of experimental investigations on the alterable frequency vibration capability of the designed MRE vertical *** test results reveal that the controllable stiffness-damping properties of the prepared MRE in the axial tension-compression mode can enable the developed vertical isolator to exhibit superior frequency shifting and vibration attenuating characteristics in structural vibration.

关键词： Magnetorheological elastomer vertical isolator tension-compression viscoelasticity frequency shifting vibration attenuating

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Research on Drug Relocation Methods Based on Network Pharmacology

Research on Drug Relocation Methods Based on Network Pharmac...

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2024 International Conference Optoelectronic Information and Optical engineering, OIOE 2024

作者： Wang, Xin Wang, Hong Wei Wang, Jia School of Control Science and Engineering Dalian University of Technology Dalian China College of Basic Medical Sciences Dalian Medical University Liaoning Dalian China

ISBN: (数字)9781510688209

ISBN: (纸本)9781510688193

To address the challenges of high investment, high time cost, and high development difficulty in new drug research and development, this paper proposes a drug screening model research method based on network pharmacology. This model is based on the human protein-protein interaction (PPI) network and combines the shortest path length method and clustering analysis method to measure the similarity between drug gene nodes and disease gene nodes, thereby predicting the potential association between drugs and diseases. The prediction experiment was conducted using drug and disease datasets, and the experimental results showed that the optimal AUC of this model reached 0.8287, which significantly improved its performance compared to other models. Therefore, this network model has good drug screening ability and can provide auxiliary opinions for drug research and development. © 2025 SPIE.

关键词： Cluster analysis Distance calculation Drug screening Network pharmacology

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Research on Task Scheduling Algorithm of Shuttle based Storage and Retrieval System Based on Energy Consumption

Research on Task Scheduling Algorithm of Shuttle based Stora...

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2023 International Conference on Automation in Manufacturing, Transportation and Logistics, iCaMaL 2023

作者： Wang, Yanyan Ma, Xurui Qin, Jinning Mou, Shandong School of Control Science and Engineering Shandong University Jinan China Business School Central University of Finance and Economics Beijing China

ISBN: (纸本)9781839539954

Shuttle based storage and retrieval system (SBS/RS) has been applied in many automated warehouses because of its high space utilization, flexibility and response speed. The efficiency of task scheduling has a profound impact on the order picking efficiency,customer satisfaction and warehouse operation cost. In this study, based on the indepth analysis of the system operation flow, the service time of all kinds of equipment is calculated, and the equipment energy consumption model is constructed. A task green scheduling model is established to minimize the total energy consumption cost of outbound tasks. An improved particle swarm optimization is used to solve the model and compared with adaptive genetic algorithm and other algorithms to verify model accuracy by several numerical experiments. Low energy consumption can reduce the operating cost and bring more social benefits. The energy consumption costbased task scheduling model proposed in this research provides a new solution to the task scheduling problem. © The Institution of engineering & Technology 2023.

关键词： Energy Consumption Model Improved particle swarm optimization Shuttle Based Storage and Retrieval System Task Scheduling Model

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