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| 1 | Decentralized Event-Triggered Average Consensus for Multi-Agent Systems in CPSs with Communication Constraints显示文摘The paper investigates decentralized event-triggered average consensus problem for multi-agent systems in cyberphysical systems(CPSs) with communication constraints.To reduce communication burden and improve the communication efficiency of multi-agent systems in CPSs,event-trigger is distributed at subsystem/agent level.A multi-agent system is then modeled as a reduced dimension hybrid system by taking into account decentralized event-triggered mechanism,communication delays and data dropouts within one framework.Some sufflcient conditions for average consensus of each agent and an upper bound of communication delay and maximal allowable number of successive data dropouts(MANSD) are obtained,which can conveniently provide the relationship between the triggering parameters,communication constraints and the system stability.Specially,the quantitative relationship between the triggering parameters,MANSD and the system stability is derived.Finally,simulation results are given to illustrate the effectiveness of the proposed method. | Zhaoxia Wang Minrui Fei Dajun Du Min Zheng | 2015 | IEEE/CAA Journal of Automatica Sinica2015，2，3： | 6 |
| 2 | A novel modified binary differential evolution algorithm and its applications显示文摘 | Ling Wang Xiping Fu Yunfei Mao Muhammad Ilyas Menhas Minrui Fei | 2012 | Neurocomputing2012，，： | 1 |
| 3 | An efficient quantum immune algorithm to minimize mean flow time for hybrid flow shop problems显示文摘 | Qun Niu Taijin Zhou Minrui Fei Bing Wang | 2012 | Mathematics and Computers in Simulation2012，，： | 1 |
| 4 | Effect of Preheating and Annealing Temperatures on Quality Characteristics of ZnO Thin Film Prepared by Sol-gel Method显示文摘 | Wang Minrui Wang Jing Chen Wen | 2006 | Materials Chemistry and Physics2006，97，23： | 1 |
| 5 | Direct Nyquist array design of PID controllers for boiler-turbine units based on gain and phase margins显示文摘 | Hui Pan Minrui Fei Ling Wang | 2012 | International Journal of Computer Applications in Technology2012，43，1： | 1 |
| 6 | An adaptive mutation--dissipation binary particle swarm optimizations for multidimensional knapsack problem 显示文摘 | Wang Ling Wang Xiuting Fei Minrui | 2009 | International Journal of Modelling Identification and Control2009，8，4： | 1 |
| 7 | A Novel Dynamic Watermarking-Based EKF Detection Method for FDIAs in Smart Grid显示文摘Dear editor,The existing bad data detection(BDD)cannot effectively detect false data injection attacks(FDIAs)in smart grid.The objectiveness of this letter is to investigate a novel dynamic watermarking(DW)-based extended Kalman filter(EKF)detection method to detect FDIAs.Firstly,security weakness of traditional χ^(2) detector is analyzed,and a novel DW-based EKF detection method is proposed for FDIAs.Secondly,the detection effectiveness and security property of the proposed method are analyzed theoretically,where not only the positive correlation between the detection performance and DW signal intensity but also zero impact of FDIAs not being detected on smart grid(SG)are revealed.Finally,the effectiveness of the proposed method is confirmed by experimental results. | Xue Li Ziyi Wang Changda Zhang Dajun Du Minrui Fei | 2022 | IEEE/CAA Journal of Automatica Sinica2022，9，7： | 1 |
| 8 | Synthesis and properties of poly(acrylates-co-urethane) adhesives for low surface energy materials显示文摘 | Minrui Li Zhen Zheng Shujuan Liu Yuezeng Su Wei Wei Xinling Wang | 2011 | International Journal of Adhesion and Adhesives2011，，6： | 1 |
| 9 | Performance Evaluation of Topologies for Multi-Domain Software-Defined Networking显示文摘Software-defined networking(SDN)is widely used in multiple types of data center networks,and these distributed data center networks can be integrated into a multi-domain SDN by utilizing multiple controllers.However,the network topology of each control domain of SDN will affect the performance of the multidomain network,so performance evaluation is required before the deployment of the multi-domain SDN.Besides,there is a high cost to build real multi-domain SDN networks with different topologies,so it is necessary to use simulation testing methods to evaluate the topological performance of the multi-domain SDN network.As there is a lack of existing methods to construct a multi-domain SDN simulation network for the tool to evaluate the topological performance automatically,this paper proposes an automated multi-domain SDN topology performance evaluation framework,which supports multiple types of SDN network topologies in cooperating to construct a multi-domain SDN network.The framework integrates existing single-domain SDN simulation tools with network performance testing tools to realize automated performance evaluation of multidomain SDN network topologies.We designed and implemented a Mininet-based simulation tool that can connect multiple controllers and run user-specified topologies in multiple SDN control domains to build and test multi-domain SDN networks faster.Then,we used the tool to perform performance tests on various data center network topologies in single-domain and multi-domain SDN simulation environments.Test results show that Space Shuffle has the most stable performance in a single-domain environment,and Fat-tree has the best performance in a multi-domain environment.Also,this tool has the characteristics of simplicity and stability,which can meet the needs of multi-domain SDN topology performance evaluation. | Jiangyuan Yao Weiping Yang Shuhua Weng Minrui Wang Zheng Jiang Deshun Li Yahui Li Xingcan Cao | 2023 | Computer Systems Science & Engineering2023，47，10： | 0 |
| 10 | MEMS-based ZnO Piezoelectric Tactile Sensor for Minimally Invasive Surgery显示文摘This paper reports the design and fabrication of a MEMS-based ZnO piezoelectric tactile sensor,which can be integrated on to the endoscopic grasper used in minimally invasive surgery (MIS).The sensor includes a silicon substrate, platinum bottom electrode,platinum top electrode,and a ZnO piezoelectric thin film,which is sandwiched between the two-electrode layers.The sensitivity of the micro-force sensor is analyzed in theory and the sensor exhibits high sensitivity about 7pc/uN.The application of this tactile sensor to MIS will allow the surgeon feeling the touch force between the endoscopic grasper and tissue in real-time,and manipulating the tissue safely. | Minrui Wang Jing Wang Yan Cui Liding Wang | 2006 | 稀有金属材料与工程2006，35，A03： | 0 |
| 11 | An Intelligent Algorithm for Solving Weapon-Target Assignment Problem:DDPG-DNPE Algorithm显示文摘Aiming at the problems of traditional dynamic weapon-target assignment algorithms in command decisionmaking,such as large computational amount,slow solution speed,and low calculation accuracy,combined with deep reinforcement learning theory,an improved Deep Deterministic Policy Gradient algorithm with dual noise and prioritized experience replay is proposed,which uses a double noise mechanism to expand the search range of the action,and introduces a priority experience playback mechanism to effectively achieve data utilization.Finally,the algorithm is simulated and validated on the ground-to-air countermeasures digital battlefield.The results of the experiment show that,under the framework of the deep neural network for intelligent weapon-target assignment proposed in this paper,compared to the traditional RELU algorithm,the agent trained with reinforcement learning algorithms,such asDeepDeterministic Policy Gradient algorithm,Asynchronous Advantage Actor-Critic algorithm,Deep Q Network algorithm performs better.It shows that the use of deep reinforcement learning algorithms to solve the weapon-target assignment problem in the field of air defense operations is scientific.In contrast to other reinforcement learning algorithms,the agent trained by the improved Deep Deterministic Policy Gradient algorithm has a higher win rate and reward in confrontation,and the use of weapon resources is more efficient.It shows that the model and algorithm have certain superiority and rationality.The results of this paper provide new ideas for solving the problemof weapon-target assignment in air defense combat command decisions. | Tengda Li Gang Wang Qiang Fu Xiangke Guo Minrui Zhao Xiangyu Liu | 2023 | Computers, Materials & Continua2023，76，9： | 0 |
| 12 | ProbD: Faulty Path Detection Based on Probability in Software-Defined Networking显示文摘With the increasing number of switches in Software-Defined Network-ing(SDN),there are more and more faults rising in the data plane.However,due to the existence of link redundancy and multi-path forwarding mechanisms,these problems cannot be detected in time.The current faulty path detection mechan-isms have problems such as the large scale of detection and low efficiency,which is difficult to meet the requirements of efficient faulty path detection in large-scale SDN.Concerning this issue,we propose an efficient network path fault testing model ProbD based on probability detection.This model achieves a high prob-ability of detecting arbitrary path fault in the form of small-scale random sam-pling.Under a certain path fault rate,ProbD obtains the curve of sample size and probability of detecting arbitrary path fault by randomly sampling network paths several times.After a small number of experiments,the ProbD model can cor-rectly estimate the path fault rate of the network and calculate the total number of paths that need to be detected according to the different probability of detecting arbitrary path fault and the path fault rate of the network.Thefinal experimental results show that,compared with the full path coverage test,the ProbD model based on probability detection can achieve efficient network testing with less overhead.Besides,the larger the network scale is,the more overhead will be saved. | Jiangyuan Yao Jiawen Wang Shuhua Weng Minrui Wang Deshun Li Yahui Li Xingcan Cao | 2023 | Intelligent Automation & Soft Computing2023，，5： | 0 |
| 13 | Multi-Agent Hierarchical Graph Attention Reinforcement Learning for Grid-Aware Energy Management显示文摘The increasing adoption of renewable energy has posed challenges for voltage regulation in power distribution networks.Gridaware energy management,which includes the control of smart inverters and energy management systems,is a trending way to mitigate this problem.However,existing multi-agent reinforcement learning methods for grid-aware energy management have not sufficiently considered the importance of agent cooperation and the unique characteristics of the grid,which leads to limited performance.In this study,we propose a new approach named multi-agent hierarchical graph attention reinforcement learning framework(MAHGA)to stabilize the voltage.Specifically,under the paradigm of centralized training and decentralized execution,we model the power distribution network as a novel hierarchical graph containing the agent-level topology and the bus-level topology.Then a hierarchical graph attention model is devised to capture the complex correlation between agents.Moreover,we incorporate graph contrastive learning as an auxiliary task in the reinforcement learning process to improve representation learning from graphs.Experiments on several real-world scenarios reveal that our approach achieves the best performance and can reduce the number of voltage violations remarkably. | FENG Bingyi FENG Mingxiao WANG Minrui ZHOU Wengang LI Houqiang | 2023 | ZTE Communications2023，21，3： | 0 |
| 14 | The fabrication strategies and enhanced performances of metal-organic frameworks and carbon dots composites: State of the art review显示文摘Metal-organic frameworks(MOFs) with large specific surface area, considerable pore volume, controllable structure, and high concentration of active metal sites have been applied widely in researches like catalysis and sensing. However, potential applications of MOFs in both photocatalysis and luminescence sensors are facing major challenges arising from their severe charge recombination, low utilization of solar energy, low quantum yield, limited charge transfer between the metal ions/clusters and the ligand.Recent studies revealed that rational introduction of carbon dots(CDs) with excellent optical properties,unique quantum confinement and high conductivity can greatly enhance the functions of MOFs. In this paper, typical synthesis methods of these CD-MOF composites as well as their potential applications in photocatalysis and sensing are reviewed with emphasis. Representative examples of these CD-MOF composites are discussed, and key features and advantages of CD-MOF composites that will facilitate future applications are highlighted. | Yanqiu Zhang Minrui Sun Mingguo Peng Erdeng Du Xia Xu Chong-Chen Wang | 2023 | Chinese Chemical Letters2023，34，3： | 0 |
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