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CSAA/IET International Conference on Aircraft Utility Systems 2020, AUS 2020

作者： Wei, Renlei Wu, Shuai Zhang, Hao School of Automation Science and Electrical Engineering Beihang University Beijing100191 China Science and Technology on Aircraft Control Laboratory Beihang University Beijing100191 China Ningbo Institute of Technology Beihang University Ningbo315800 China

ISBN: (纸本)9781839535635

The digital displacement(DD) machine is a high-efficiency intelligent hydraulic machine. The DD machine works in three modes which is controlled by the working sequence of the fast switching valve. The fast switching valve used in DD machine requires both less switching time and power loss. The dynamic model and control method of the DD machine is built assuming the loss of the DD machine occurs in the valve switching only. Then, the efficiency map with the normalized switching time and flow coefficient is drawn to get the requirements for the valve. For a type of poppet valve, the fluid field of the valve is optimized based on the angle of sleeve and the radius of the optimal spool. Using the computer fluid design(CFD) instead of the real experiments, it's easy to get a optimal field geometry of the valve in the set of valve parameters. Finally a fast switching valve is manufactured according to the selected optimized parameters of the valve. © 2020 Institution of engineering and Technology. All rights reserved.

关键词： Efficiency

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Research on Joint Operation of Wind and Solar Storage System Based on Genetic Algorithm

SSRN

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SSRN 2022年

作者： Lv, You Qin, Ruijun Niu, Yuguang Zhang, Yanfei Zhang, Lei State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Changping District Beijing102206 China School of Control and Computer Engineering North China Electric Power University Changping District Beijing102206 China

With the large-scale integration of renewable energy sources such as wind power and photovoltaics, how to use energy storage systems to coordinate and control them has become an indispensable research content. After in-depth research on the output characteristics of wind power and photovoltaic power in a certain area of Ulanqab City, a strategy that can smooth the fluctuation of new energy output and configure energy storage, which the active power output fluctuates as little as possible and meets the national new energy grid-connected fluctuation index. The required parameters are obtained by solving the simulation through the measured data and genetic algorithm in the region, thus proving the effectiveness of the proposed strategy. © 2022, The Authors. All rights reserved.

关键词： Solar power generation

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On Sufficient Conditions for Input-to-State Stability of Interconnected Impulsive Systems

On Sufficient Conditions for Input-to-State Stability of Int...

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European control Conference (ECC)

作者： A. Aghaeeyan M. J. Yazdanpanah School of Electrical and Computer Engineering University of Tehran Tehran Iran Control & Intelligent Processing Center of Excellence and the School of Electrical and Computer Engineering University of Tehran Tehran Iran

ISBN: (数字)9783907144022

ISBN: (纸本)9781728188133

This paper addresses the problem of input-to-state stability of two interconnected impulsive systems with linear interconnection gains. Under dwell time or reverse dwell time constraint, sufficient conditions are provided which ensure input-to-state stability of the overall system. Compared to available results, the newly developed conditions do not rely on systems augmentation and hence avoids expanding the overall system dimensions. Some numerical examples are given to verify the theoretical outcomes.

关键词： Numerical stability Lyapunov methods Interconnected systems Stability criteria Thermal stability Gain

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2D nanomaterials for realization of flexible and wearable gas sensors: A review

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Chemosphere 2024年 352卷 141234页

作者： Pawar, Krishna Kiran Kumar, Ashok Mirzaei, Ali Kumar, Mahesh Kim, Hyoun Woo Kim, Sang Sub Division of Materials Science and Engineering Hanyang University Seoul 04763 South Korea The Research Institute of Industrial Science Hanyang University Seoul 04763 South Korea School of Nanoscience and Technology Shivaji University Kolhapur 416004 India Department of Electrical Engineering Indian Institute of Technology Jodhpur 342030 India Department of Materials Science and Engineering Shiraz University of Technology Shiraz 715557-13876 Iran Department of Cybernetics Nanotechnology and Data Processing Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Akademicka 16 Gliwice 44-100 Poland Department of Materials Science and Engineering Inha University Incheon 22212 South Korea

Gas sensors are extensively employed for monitoring and detection of hazardous gases and vapors. Many of them are produced on rigid substrates, but flexible and wearable gas sensors are needed for intriguing usage including the internet of things (IoT) and medical devices. The materials with the greatest potential for the fabrication of flexible and wearable gas sensing devices are two-dimensional (2D) semiconducting nanomaterials, which consist of graphene and its substitutes, transition metal dichalcogenides, and MXenes. These types of materials have good mechanical flexibility, high charge carrier mobility, a large area of surface, an abundance of defects and dangling bonds, and, in certain instances adequate transparency and ease of synthesis. In this review, we have addressed the different 2D nonmaterial properties for gas sensing in the context of fabrication of flexible/wearable gas sensors. We have discussed the sensing performance of flexible/wearable gas sensors in various forms such as pristine, composite and noble metal decorated. We believe that content of this review paper is greatly useful for the researchers working in the research area of fabrication of flexible/wearable gas sensors. © 2024 Elsevier Ltd

关键词： 2D nanomaterials Flexible/wearable gas sensor Graphene MXenes Sensing mechanism TMDs Toxic gas

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Hybrid Reinforcement Learning-Based Eco-Driving Strategy for Connected and Automated Vehicles at Signalized Intersections

arXiv

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arXiv 2022年

作者： Bai, Zhengwei Hao, Peng Shangguan, Wei Cai, Baigen Barth, Matthew J. The Department of Electrical and Computer Engineering University of California at Riverside RiversideCA92507 United States The Center for Environmental Research and Technology University of California at Riverside RiversideCA92507 United States The State Key Laboratory of Rail Traffic Control and Safety The Beijing Engineering Research Center of EMC GNSS Technology for Rail Transportation School of Electronic and Information Engineering Beijing Jiaotong University Beijing100044 China

Taking advantage of both vehicle-to-everything (V2X) communication and automated driving technology, connected and automated vehicles are quickly becoming one of the transformative solutions to many transportation problems. However, in a mixed traffic environment at signalized intersections, it is still a challenging task to improve overall throughput and energy efficiency considering the complexity and uncertainty in the traffic system. In this study, we proposed a hybrid reinforcement learning (HRL) framework which combines the rule-based strategy and the deep reinforcement learning (deep RL) to support connected eco-driving at signalized intersections in mixed traffic. Vision-perceptive methods are integrated with vehicle-to-infrastructure (V2I) communications to achieve higher mobility and energy efficiency in mixed connected traffic. The HRL framework has three components: a rule-based driving manager that operates the collaboration between the rule-based policies and the RL policy;a multi-stream neural network that extracts the hidden features of vision and V2I information;and a deep RL-based policy network that generate both longitudinal and lateral eco-driving actions. In order to evaluate our approach, we developed a Unity-based simulator and designed a mixed-traffic intersection scenario. Moreover, several baselines were implemented to compare with our new design, and numerical experiments were conducted to test the performance of the HRL model. The experiments show that our HRL method can reduce energy consumption by 12.70% and save 11.75% travel time when compared with a state-of-the-art model-based Eco-Driving approach. © 2022, CC BY-NC-ND.

关键词： Reinforcement learning

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Research on Demand Response Strategy of Integrated Energy System Based on Hybrid Particle Swarm Optimization with Roulette Wheel Operator

Research on Demand Response Strategy of Integrated Energy Sy...

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第33届中国控制与决策会议

作者： Shuying Ren Yan Zhao Tieyan Zhang Yuri Wang Lin Tong School of Elecrtic Power Shenyang Institute of Engineering School of Renewable Energy Shenyang Institute of Engineering Key Laboratory of Regional Multi-energy System Integration and Control Liaoning Province School of Automation and Electrical Engineering Shenyang Ligong University Huludao Power Supply Company State Grid Liaoning Electric Power Supply Co.Ltd.

As one of the core elements of the technology base of the smart energy industry,the comprehensive energy system standard plays a link and catalytic role in promoting China's energy equipment manufacturing,the safe and stable operation of power systems,and the industrialization of scientific and technological *** response can play an important role in the consumption of renewable energy in integrated energy *** paper establishes an objective function to minimize the cost of integrated energy system and optimize user power *** the multiple objective functions and constraints,the traditional single objective optimization model can no longer meet the present problem *** view of the demand response in the integrated energy system,a multi-objective optimization method,the hybrid particle swarm algorithm with roulette operator,is *** algorithm can make the game *** partial optimal solution is spread globally to find the optimal scheduling strategy.

关键词： Integrated energy Demand response Particle swarm optimization Multi-objective optimization and photovoltaic power generation

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The Optimal Wavelet Basis for Electroencephalogram Denoising 20

The Optimal Wavelet Basis for Electroencephalogram Denoising

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2020 International Symposium on Artificial Intelligence in Medical Sciences, ISAIMS 2020

作者： Cheng, Liwei Li, Duanling Yu, Gongjing Zhang, Zhonghai Yu, Shuyue School of Automation Beijing University of Posts and Telecommunications Beijing China College of Mechanical and Electrical Engineering Shaanxi University of Science and Technology Xi'an China Beijing Aerospace Measurement and Control Technology Co. Ltd. China

ISBN: (纸本)9781450388603

To solve the problem of optimal wavelet basis selection in motor imagery electroencephalogram (MI-EEG) denoising by wavelet transform, based on the analysis of wavelet basis parameters and characteristics, combined with the characteristics of MI-EEG, we summarized the characteristics of wavelet basis suitable for MI-EEG denoising. Signal to noise ratio (SNR) and root mean squared error (RMSE) are introduced as evaluation criteria of signal denoising effect, it is concluded that the bior and rbio wavelet basis functions are better at denoising MI-EEG among the 7 types of wavelet clusters. Among them, the rbio2.2 wavelet basis is the most suitable for MI-EEG denoising. The comparison of simulation results verifies the correctness of the conclusions. © 2020 ACM.

关键词： Signal to noise ratio

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Design of a Capsule Robot System for Gastric Hemorrhage Detection using Luminol

Design of a Capsule Robot System for Gastric Hemorrhage Dete...

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IEEE International Conference on Mechatronics and automation

作者： Yuchen Mao Jian Guo Shuxiang Guo Qiang Fu Tianjin Key Laboratory for Control Theory & Application Complicated Systems and Intelligent Robot Laboratory School of Electrical Engineering and Automation Tianjin University of Technology Binshui Xidao Extension 391 Tianjin China Shenzhen Institute of Advanced Biomedical Robot Co. Ltd No.12 Ganli Sixth Road Jihua Street Longgang District Shenzhen China Key Laboratory of Convergence Medical Engineering System and Healthcare Technology The Ministry of Industry and Information Technology School of Life Science Beijing Institute of Technology No.5 Zhongguancun South Street Beijing China

Gastric hemorrhage in upper gastrointestinal bleeding is an obvious indicator of deteriorating gastric disease. This paper proposes a capsule robot system for detecting bleeding in the stomach. The patient ingests a capsule robot containing luminol reagent, which detects bleeding in the stomach via chemiluminescence. The MCU receives the optical sensor signal, and the data is transmitted via radio frequency. The external lower computer receives and forwards the data to the upper computer for processing and display. The data is used to determine the presence and amount of stomach bleeding. Chemiluminescence is an excellent sensor, requiring no external energy supply, and demonstrating excellent sensitivity and selectivity. Combining chemical and electronic sensors presents opportunities for further development. Capsule robot detection reduces the discomfort and risk of secondary injury associated with traditional endoscopy. This paper establishes an experimental platform using porcine blood to simulate human blood, demonstrating the feasibility of the system.

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A survey of static formal methods for building dependable industrial automation systems

arXiv

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arXiv 2021年

作者： Sinha, Roopak Patil, Sandeep Gomes, Luis Vyatkin, Valeriy Department of IT and Software Engineering Auckland University of Technology Auckland New Zealand Department of Computer Science Electrical and Space Engineering Luleå University of Technology Luleå97187 Sweden Electrical and Computer Engineering Department NOVA School of Science and Technology NOVA University of Lisbon Portugal Centre of Technology and Systems UNINOVA Caparica2829-517 Portugal Computer Technologies International Laboratory ITMO University Saint Petersburg197101 Russia Department of Electrical Engineering in Automation Aalto University Aalto00076 Finland

Industrial automation systems (IAS) need to be highly dependable;they should not merely function as expected but also do so in a reliable, safe, and secure manner. Formal methods are mathematical techniques that can greatly aid in developing dependable systems and can be used across all phases of the system development life cycle (SDLC), including requirements engineering, system design and implementation, verification and validation (testing), maintenance, and even documentation. This state-of-the-art survey reports existing formal approaches for creating more dependable IAS, focusing on static formal methods that are used before a system is completely implemented. We categorize surveyed works based on the phases of the SDLC, allowing us to identify research gaps and promising future directions for each phase. Copyright © 2021, The Authors. All rights reserved.

关键词： Formal verification

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What are the differences in yield formation among two cucumber (Cucumis sativus L.) cultivars and their F1 hybrid?

引用

Journal of Integrative Agriculture 2020年第7期19卷 1789-1801页

作者： WANG Xiu-juan KANG Meng-zhen FAN Xing-rong YANG Li-li ZHANG Bao-gui HUANG San-wen Philippe DE REFFYE WANG Fei-yue The State Key Laboratory of Management and Control for Cormplex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190P.R.China Bejjing Engineering Research Center of Intelligent Systems and Technology Institute of AutomationChinese Academy of SciencesBejing 100190P.R.China Innovation Center for Parallel Agriculture Qingdao Academy of Intelligent IndustriesQingdao 266109P.R.China School of Computer Science and Information Engineering Chongqing Technology and Business UniversityChongqing 400067P.R.China College of Information and Electrical Engineering China Agricultural UniversityBeijing 100083P.R.China College of Land Science and Technology China Agricultural UniversityBeijing 100193P.R.China Agricultural Genomes Institute at Shenzhen Chinese Academy of Agricultural SciencesShenzhen 518124P.R.China AMAP University MontpellierCIRADCNRSINRAIRDMontpellier 34000France The School of Computer and Control Engineering University of Chinese Academy of SciencesBeijing 100049P.R.China

To elucidate the mechanisms underlying the differences in yield formation among two parents(P1 and P2) and their F1 hybrid of cucumber, biomass production and whole source–sink dynamics were analyzed using a functional–structural plant model(FSPM) that simulates both the number and size of individual organs. Observations of plant development and organ biomass were recorded throughout the growth periods of the plants. The GreenLab Model was used to analyze the differences in fruit setting, organ expansion, biomass production and biomass allocation. The source–sink parameters were estimated from the experimental measurements. Moreover, a particle swarm optimization algorithm(PSO) was applied to analyze whether the fruit setting is related to the source–sink ratio. The results showed that the internal source–sink ratio increased in the vegetative stage and reached a peak until the first fruit setting. The high yield of hybrid F1 is the compound result of both fruit setting and the internal source–sink ratio. The optimization results also revealed that the incremental changes in fruit weight result from the increases in sink strength and proportion of plant biomass allocation for fruits. The model-aided analysis revealed that heterosis is a result of a delicate compromise between fruit setting and fruit sink strength. The organlevel model may provide a computational approach to define the target of breeding by combination with a genetic model.

关键词： cucumber biomass production functional-structural plant model source-sink ratio fruit-setting PSO heterosis

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