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Articles 3631 - 3660 of 4024

Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering

Research On Sensorless Control Method Based On Improved Kalman Filter Of Sliding Mode Observer, Haigang Zhang, Yuanyuan Nie, Zhang Lei, Bulai Wang, Yinzhong Ye, Wan Heng Jan 2019

Research On Sensorless Control Method Based On Improved Kalman Filter Of Sliding Mode Observer, Haigang Zhang, Yuanyuan Nie, Zhang Lei, Bulai Wang, Yinzhong Ye, Wan Heng

Journal of System Simulation

Abstract: Aiming at problems of high frequency ripple component existed in PMSM parameter error caused by the sliding mode observer (SMO) estimation error and counter electromotive force, the stable condition of the speed sensorless control system of permanent magnet motor is weakened. The Kalman filter is introduced to eliminate the high frequency ripple in the front of the sliding mode observer. The control system of the permanent magnet synchronous motor has better steady-state effect and dynamic response. A Matlab platform has been built to validate this method, the experimental results show that the improved sliding mode observer is strong …

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Multiple Objective Planning Of Distribution Network With Multiple Distributed Generations, Pan Huan, Xu Chen, Yang Li Jan 2019

Multiple Objective Planning Of Distribution Network With Multiple Distributed Generations, Pan Huan, Xu Chen, Yang Li

Journal of System Simulation

Abstract: The types of distribution network with Distributed generations (DG), the location and capacity will impact on power grid operation and strict, such as unreasonable planning, the normal operation of the power grid have negative effects. Based on this, the main purpose of this paper is to study when the new DG of distribution network access how to reasonable siting and sizing, specific arrangements are. To a real distribution system with a region as an example, the node were evaluated to determine candidate DG installation node, corresponding mathematical optimization model is established, in distribution power purchasing cost, DG operation and …

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Research On Mode Shape Characteristics Simulation Of Bell-Shaped Vibratory Angular Rate Gyro, Liu Ning, Su Zhong Jan 2019

Research On Mode Shape Characteristics Simulation Of Bell-Shaped Vibratory Angular Rate Gyro, Liu Ning, Su Zhong

Journal of System Simulation

Abstract: It presents the analysis method of metal shell vibratory gyro’s mode shape for simulation research on Bell-shaped vibratory angular rate gyro, and gives the solution process and result of simulation analysis. Based on the Kirchhoff-Love assuming, by numerical methods to solve mode shape functions of bell-shaped resonator, the low-order modes of bell-shaped resonator is given through comprehensive analysis and finite element simulation results. The mode shaped characteristics of bell-shaped resonator is analyzed effectively through this method. Theory and simulation methods verify the correctness of the theory and promote modal, and lay the bell-shaped vibratory angular rate gyro …

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Key Points Analysis And Simulation For Sea Surface Velocity Estimation Based On Spaceborne Ati-Sar System, Yan He, Daiyin Zhu Jan 2019

Key Points Analysis And Simulation For Sea Surface Velocity Estimation Based On Spaceborne Ati-Sar System, Yan He, Daiyin Zhu

Journal of System Simulation

Abstract: ATI (Along Track Interferometric) technique is one of the most important applications for spaceborne SAR (Synthetic Aperture Radar) systems. ATI-SAR systems can directly detect the Doppler offset associated with each pixel of a SAR image. This is achieved by interferometric combination of two complex SAR images of the same scene. The sea surface velocity can be estimated via the calculated interferometric phase. The baseline length, velocity resolution and velocity estimation error are three important factors in the process of spaceborne ATI-SAR system design, and these three points are carefully investigated here. The basic principle and expression of spaceborne ATI-SAR …

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Economic Design Of Vsi Arma Charts, Zhang Li, Xiaoyang Dong Jan 2019

Economic Design Of Vsi Arma Charts, Zhang Li, Xiaoyang Dong

Journal of System Simulation

Abstract: To improve the sensitivity of statistical process control reducing costs for process monitoring at the same time, the economic design of autoregressive moving average control chart with variable sampling interval (VSI ARMA) was discussed. The economic model of autoregressive moving average control chart with variable sampling interval (VSI ARMA) was established based on Lorenzen and Vance’s model, in which Markov chain was used to calculate the average time to signal (ATS) through constructing a three dimensional random vector. Using genetic algorithm to search for the optimal combination of seven parameters of VSI ARMA model made the cost of …

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Electromagnetic Property Of Axial Piston Pump/Motor Magnetic Slipper Pair, Haishun Deng, Xu Pan, Huang Ran, Yuefei Deng, Dai Peng Jan 2019

Electromagnetic Property Of Axial Piston Pump/Motor Magnetic Slipper Pair, Haishun Deng, Xu Pan, Huang Ran, Yuefei Deng, Dai Peng

Journal of System Simulation

Abstract: In order to control the oil film for the slipper pair more conveniently and flexibly, the magnetic slipper pair is proposed which maintains balance by hydraulic pressure and electromagnetic force, and its mathematical model and finite element model are built. The impact of voltage, electric field strength etc. on magnetic slipper pair’s working performance and service life is analyzed. The results show that: the position of the swash plate in contact with the core of magnetic slipper pair has maximum electric field strength and prone to discharging electric which affect the service life. The main magnetic path forms a …

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Study On How To Design Simplest Chaotic Circuit With Two Charge-Controlled Memristors, Shuhua Wu, Xuwei Rong, Zhenyong Liu Jan 2019

Study On How To Design Simplest Chaotic Circuit With Two Charge-Controlled Memristors, Shuhua Wu, Xuwei Rong, Zhenyong Liu

Journal of System Simulation

Abstract: A simplest five-order chaotic circuit is designed with two HP laboratory charge-controlled memristor models and its basic dynamic characteristics are studied using the conventional dynamic analysis method, through which its initial unstable oscillation is discovered and the initial oscillation process is recorded with the maximum Lyapunov exponent; the volt-ampere characteristic and the power output of the two memristors in the circuit are computed, indicating that the memristors are passive components; and the impacts of the inductance, capacitance and conductance to the circuit system are studied using the bifurcation diagram and the maximum Lyapunov exponent spectrum. In addition, the distribution …

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Research On Involute Helical Cylindrical Gear Transmission Error Based On Abaqus, Xinrong Liu, Zhonghou Wang, Kubo Aizoh, Kaiyuan Zhang Jan 2019

Research On Involute Helical Cylindrical Gear Transmission Error Based On Abaqus, Xinrong Liu, Zhonghou Wang, Kubo Aizoh, Kaiyuan Zhang

Journal of System Simulation

Abstract: The present paper comes up with torsional vibration model of involute helical gear in order to study the transmission error of involute helical cylindrical gear. It finished the analysis about transmission error of involute helical gear both in the static and the dynamic, at the same time, it showed the laws of dynamic transmission error curve under different loads, which would be compared with the laws of static transmission error curve. The research showed that the greater the load, the larger the absolute value of transmission error, however, the peak difference of dynamic transmission error is not a linear …

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Linear Array Pattern Optimization Algorithm For Effective Estimation Of Optimum Particle Initial Values, Yongbin Chou, Shuchun Zhang, Yuancheng Wang, Wenlan Fan, Dexin Li Jan 2019

Linear Array Pattern Optimization Algorithm For Effective Estimation Of Optimum Particle Initial Values, Yongbin Chou, Shuchun Zhang, Yuancheng Wang, Wenlan Fan, Dexin Li

Journal of System Simulation

Abstract: For particle swarm optimization (PSO), all particles are always initialized randomly, but here a new initialization method is presented to improve PSO optimizer convergence performance. On the basis of desired pattern, the corresponding aperture weights are solved by analytical techniques which can to a great extent ensure that these weights are effective estimations of the current optimum particle initial values. Then they are assigned to a particle as initial values, but all other particles of the swarm are still initialized randomly. Except this new initialization step, nothing is changed in PSO optimizer. The simulation results prove that this new …

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Research On Classification Based On Autoencoder Combination Features Extraction Method, Congcong Gu, Wang Yan, Dahu Yan, Zhicheng Ji Jan 2019

Research On Classification Based On Autoencoder Combination Features Extraction Method, Congcong Gu, Wang Yan, Dahu Yan, Zhicheng Ji

Journal of System Simulation

Abstract: For the problem that autoencoder can not obtain class information according to labels during the unsupervised training process, to improve the recognition accuracy, stacked class denoising autoencoder(SCDAE) is proposed to extract class information, and autoencoder combination features extraction method is adapted to extract combination features for classification. The method builds a stacked denoising autoencoder(SDAE) and a SCDAE. The method fine-tunes SDAE and SCDAE to form a combined model (CM). The combination features containing main information of the input data and class information are acquired through CM, and they are further used for classification. MNIST and USPS handwritten database are …

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Ray-Casting Algorithm Based On Adaptive Compound Interpolation, Yanyang Zeng, Qingqing Pei, Baokun Li Jan 2019

Ray-Casting Algorithm Based On Adaptive Compound Interpolation, Yanyang Zeng, Qingqing Pei, Baokun Li

Journal of System Simulation

Abstract: The ray casting algorithm is widely used in volume rendering technology due to its mature algorithm and high imaging quality. To solve the problems of large amount of calculation and long rendering time caused by high-quality images, the problems of re-sampling point interpolation and time-consuming synthesis in the volume rendering process based on the traditional ray casting algorithm are studied, and an improved adaptive compound interpolation ray casting algorithm is proposed. According to the set threshold range, the size of the retreating sampling step is adjusted to select the interpolation sampling point and interpolation algorithm, and the re-sampling and …

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Application Of Virtual Trial Makeup Based On Video, Jiayuan Liu, Jinfang Li, Hanwu He Jan 2019

Application Of Virtual Trial Makeup Based On Video, Jiayuan Liu, Jinfang Li, Hanwu He

Journal of System Simulation

Abstract: To try different cosmetic products in a convenient and low cost way, a virtual make-up algorithm based on a plane mesh model is proposed. The feature points are extracted from the face in the video by the Harr cascade classifier and the Dlib library. A mask pattern is built on the different parts of the face dynamically according to the texture coordinates of the plane mesh model. Theory is used to control the display area of the main texture of the planar mesh model. The mapping relationship between the main texture and the feature point coordinates of the planar …

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Design And Implementation Of Virtual Visual Simulation Platform For Maritime Wireless Transmission, Yuxuan Tong, Bin Lin, Hongxiang Ren, Tao Rui Jan 2019

Design And Implementation Of Virtual Visual Simulation Platform For Maritime Wireless Transmission, Yuxuan Tong, Bin Lin, Hongxiang Ren, Tao Rui

Journal of System Simulation

Abstract: Based on the actual demand of simulating wireless transmission on the sea, a simulation platform with stronger immersion and more real-time data is designed, which combines visual simulation technology and maritime wireless transmission to replace the traditional methods which just build mathematical charts and tables. The traditional channel models are improved and a connection among the free space path loss, reflection loss and so on is built. Different models aim to different communication bands for establishing a widely used transmission. Unity 3D game engine is used to recover a real scene and realize environment configuration and roles control. The …

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Improved Hybrid Bounding Box Collision Detection Algorithm, Wang Chao, Zhili Zhang, Long Yong, Shaodi Wang Jan 2019

Improved Hybrid Bounding Box Collision Detection Algorithm, Wang Chao, Zhili Zhang, Long Yong, Shaodi Wang

Journal of System Simulation

Abstract: For the construction of the oriented bounding box (OBB) takes a long time and the efficiency of the scene collision detection algorithm is not high, a fast-adaptive hybrid bounding box collision detection algorithm is proposed, which optimizes the bounding box of hierarchy and the way of storage. A large number of objects that cannot be intersected are excluded by means of the eight-tree space division and the rough detection of the sphere, and the exact intersecting test of the OBB can be made. The experimental result shows that compared with the OBB algorithm, the complexity of the bounding …

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Vector Control Of Pmsm Based On Sliding Mode Observer, Dinghui Wu, Deliang Yang, Jinbao Chen Jan 2019

Vector Control Of Pmsm Based On Sliding Mode Observer, Dinghui Wu, Deliang Yang, Jinbao Chen

Journal of System Simulation

Abstract: Aiming at the coupling problem of current loop in vector control permanent magnet synchronous motor, a complex vector decoupling control strategy based on sliding mode observer is proposed. Based on the traditional sliding mode observer, the introduction of Sigmoid as a switching function and variable sliding mode gain to reduce the high frequency chattering, followed by construction of complex vector PI current regulator, combined with the transfer function of zero pole configuration and stability theory, determine the parameters of PI regulator, the view of rotor position and speed sensor observation information into the complex vector PI current regulator decoupling …

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Simulation Data-Driven Modeling Approach For Space Information Network, Yang Xing, Wu Jing, Jianguo Zhou, Jiang Hao, Zhu Jie Jan 2019

Simulation Data-Driven Modeling Approach For Space Information Network, Yang Xing, Wu Jing, Jianguo Zhou, Jiang Hao, Zhu Jie

Journal of System Simulation

Abstract: Aiming at the problem for the research on the simulation and modeling of the space information network (SIN) with high complexity, a SIN modeling approach based on simulation data is proposed. On this basis, a deep predictive auto-encoder network for SIN performance indicators and a hybrid forecasting analysis model with random forest regression are designed. Due to the characteristics of high dimensionality and wide distribution of SIN performance indicators, with using the deep learning auto-encoder network, the construction of SIN performance index is realized. Combined with the random forest regression model, the relationship model between the network design parameters …

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Two-Sided Matching Decision Model Between Task And Resource For Cloud Fusion, Lijun Cheng, Wang Yan Jan 2019

Two-Sided Matching Decision Model Between Task And Resource For Cloud Fusion, Lijun Cheng, Wang Yan

Journal of System Simulation

Abstract: The disjointing of cloud task-to-resource matching link is a prominent problem in the cloud fusion process. Aiming at this problem, a cloud-based fusion task assignment model optimization method based on the improved knowledge migration maximum entropy clustering algorithm (KT-MECA) is proposed, in which the two-sided satisfaction of tasks and resources is considered. The algorithm improves the introduction of historical clustering center knowledge and membership degree knowledge, improves clustering performance and stability, and solves the problem that traditional clustering algorithms cannot be applied to dynamic cloud resource clustering. Considering the two-side subject satisfaction, the result of KT-MECA is applied to …

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12-Dimensional Zero Velocity State Updating Intelligent Algorithm For Pedestrian Dead Reckoning, Hengzhi Liu, Li Qing Jan 2019

12-Dimensional Zero Velocity State Updating Intelligent Algorithm For Pedestrian Dead Reckoning, Hengzhi Liu, Li Qing

Journal of System Simulation

Abstract: For wearable pedestrian strapdown inertial navigation and location devices, the different devices need different pedestrian dead reckoning (PDR) parameters, and the parameters are not such the optimal value that it affects the accuracy. A self-pedestrian navigation and location method based on the 12-dimensional zero-velocity state update intelligent algorithm is proposed, in which three dimensional errors of velocity, angular speed, location and geomagnetism are introduced as the system observations and an intelligent estimator which is formed by the support vector machine (SVM) and Kalman filter is established to estimate the system state error, and therefore the system accuracy is improved. …

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Designing A Self-Adaptive Fuzzy Pid Controller For Aircraft Cabin Temperature, Zongshuai Li, Sibo Zhang Jan 2019

Designing A Self-Adaptive Fuzzy Pid Controller For Aircraft Cabin Temperature, Zongshuai Li, Sibo Zhang

Journal of System Simulation

Abstract: The temperature control system is a highly nonlinear and uncertainty system, and using a conventional PID controller makes it difficult to achieve a good control effect. In this paper, a self-adaptive fuzzy PID controller is described. The model of controlled object is established by combining mechanism modeling with experiment. Aiming at the problem that the parameter range of the self-adaptive fuzzy PID controller varies greatly and is difficult to adjust, a new method is proposed which can easily provide a more reasonable fuzzy controller output variable range. The fuzzy rules based on experts’ experience and knowledge are adopted. The …

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Setting Conditions Of U-Turns At Entrances Of Signalized Intersections, Haipeng Shao, Yuxuan Wang, Xingying Chen, Binbin Zheng Jan 2019

Setting Conditions Of U-Turns At Entrances Of Signalized Intersections, Haipeng Shao, Yuxuan Wang, Xingying Chen, Binbin Zheng

Journal of System Simulation

Abstract: There is a demand for U-turn at intersections of signal controlled intersections. The U-turn conditions required for U-turn vehicles vary with different road and traffic conditions. To determine the appropriate U-turn design conditions at the entrance of the signalized intersection so that vehicles can pass safely and orderly, based on the simulation of the U-turn behavior of the vehicle, the characteristics of the vehicle trajectory are analyzed and a U-turn space discriminant model is established. Based on the theoretical model of vehicle queuing and lane change at signalized intersections, a calculation model for the U-turn setting position is …

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Analysis And Optimization Of Hospital Pharmacy Sorting System Based On Simulation, Liu Shuang, Lü Chao Jan 2019

Analysis And Optimization Of Hospital Pharmacy Sorting System Based On Simulation, Liu Shuang, Lü Chao

Journal of System Simulation

Abstract: The assignment rules are presented by researching system data information with a large Chinese medicine pharmacy sorting system as an object. Based on simulation technology, the system model is presented; the system operation time, cost, efficiency, and assigned laws and human resources configuration as well as many other factors affecting the performance of the system are analyzed. Based on the analysis of the original system, three optimization schemes are designed and compared. The simulation results show that, during the same simulation period, the reallocation of human resources can reduce the economic cost, but it has little improvement on …

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Improved Intrusion Weed Algorithm For Solving Flexible Job Shop Scheduling Problem, Zhang Xin, Li Ke, Dahu Yan, Zhicheng Ji Jan 2019

Improved Intrusion Weed Algorithm For Solving Flexible Job Shop Scheduling Problem, Zhang Xin, Li Ke, Dahu Yan, Zhicheng Ji

Journal of System Simulation

Abstract: An improved invasive weed optimization algorithm is proposed for solving multi-objective flexible job shop scheduling problem (FJSP) with released time and delivery date. The minimum completion time of jobs, the maximum work load of machines and the total work load of all machines are taken as the optimization goals to establish a FJSP model. A random key encoding scheme based on transformed sequences is proposed and a mapping relationship is set up between the continuous space and the discrete space of FJSP. An adaptive Gauss mutation operator is introduced to diversify the population in the process of weed breeding. …

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Fault Diagnosis Of High Speed Train Bogie Based On Multi-Domain Fusion Cnn, Yunpu Wu, Weidong Jin, Yingkun Huang Jan 2019

Fault Diagnosis Of High Speed Train Bogie Based On Multi-Domain Fusion Cnn, Yunpu Wu, Weidong Jin, Yingkun Huang

Journal of System Simulation

Abstract: The performance degradation and failures of high-speed train bogie components directly threaten the operation security of train. A fault detection method based on multi-domain fusion convolutional neural network is proposed to address the high complexity, high coupling and strong nonlinearity of vibration signals. Noise injection for time domain signal is used to enhance noise robustness and generalization of the model. Signal time-frequency representation information is obtained through embedded time-frequency transformation layer. Adaptive weight-based fusion is implemented through intrinsic characteristics of the convolutional neural network to handle the multi-domain multi-channel information. The experimental results show that the proposed method improves …

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Motif-Based Intelligent Mission Planning Method For Uav Swarms, Weiping Wang, Wang Tao, Xiaobo Li, Jiajie Liu Jan 2019

Motif-Based Intelligent Mission Planning Method For Uav Swarms, Weiping Wang, Wang Tao, Xiaobo Li, Jiajie Liu

Journal of System Simulation

Abstract: Due to the restriction of communication among UAV swarms, configuration of UAV swarms needs to be changed dynamically along with the task changes. How to do mission planning under limited communication for UAV swarms has become a hot and difficult question. The UAV combat network motif model framework is built based on the function, and six different types of basic motif model are proposed. Through capability demand and communication demand, a task is mapped into types and numbers of motifs which are required to complete the task. The ‘multidimensional dynamic scheduling list’ method is used to automatically generate mission …

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A Hierarchical Control Framework And Key Algorithms Of Multi-Swarm Persistent Surveillance, Wang Tao, Weiping Wang, Xiaobo Li, Jing Tian Jan 2019

A Hierarchical Control Framework And Key Algorithms Of Multi-Swarm Persistent Surveillance, Wang Tao, Weiping Wang, Xiaobo Li, Jing Tian

Journal of System Simulation

Abstract: Persistent surveillance is a typical application of multi-swarm aerial vehicle systems (UAVs). And dynamic deployment for multi-swarm UAVs in persistent surveillance has been proved to be a complex problem, especially when the self-adjustment is required to adapt the time-sensitive environment. This paper proposes a multi-swarm hierarchical control scheme and key algorithms. We design the digital turf potential field model to approximate the evolving and interactive information of time-sensitive target features and surveillance effects. Moreover, using the digital turf potential function of each grid as the data point weight, we design a grid-based weighted data-clustering algorithm for the dynamic assignment …

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Trust Evaluation Model Based On Fuzzy Set And D-S Evidence Theory In Wireless Sensor Network, Zhiping Zhou, Xiaoxiao Zhao, Nannan Shao Jan 2019

Trust Evaluation Model Based On Fuzzy Set And D-S Evidence Theory In Wireless Sensor Network, Zhiping Zhou, Xiaoxiao Zhao, Nannan Shao

Journal of System Simulation

Abstract: A trust evaluation model based on fuzzy set and D-S evidence in wireless sensor network is proposed. Considering security requirements and energy consumption, three typical trust factors are defined to calculate node’s direct trust which is for fuzzy classification by using fuzzy set theory. Fuzzy membership function is the basic belief function of the D-S evidence theory. Indirect trust is obtained from neighbor nodes’ recommendations, the direct trust and indirect trust are fused according to Dempster combination rule after being amended with weight. The effective combination of identity-based cryptosystem and the trust management mechanism improve the security …

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Modeling And Simulation Of Bank Network System With Internet Monetary Fund, Fan Hong, Wang Ke, Zhijie Wang Jan 2019

Modeling And Simulation Of Bank Network System With Internet Monetary Fund, Fan Hong, Wang Ke, Zhijie Wang

Journal of System Simulation

Abstract: There are some internet monetary funds such as “Yuebao” becoming an important part of banking system in China in recent years. What kinds of the characteristics and stability of the banking system running are the most urgent problem needed to be solved. Based on the method of the network system dynamics, the dynamical relationship between the internet money fund and traditional bank network is analyzed, and a dynamical algorithm and process of borrowing-lending are provided. A simulation model of banking network system with the internet monetary fund is constructed, which can realize the running process of the banking network …

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Group Consensus Of Multi-Agent Networks With Multiple Time Delays, Lianghao Ji, Xinyue Zhao Jan 2019

Group Consensus Of Multi-Agent Networks With Multiple Time Delays, Lianghao Ji, Xinyue Zhao

Journal of System Simulation

Abstract: The group consensus problems for first-order and second-order multi-agent networks with multiple time delays are investigated respectively. Based on the theory of frequency-domain, some algebraic criteria are analytically proposed, which can guarantee the achievement of group consensus. The results show that the input time delays, the coupling weights and the coupling strengths between the agents play key roles in reaching group consensus, whereas communication time delays can only affect the convergence rate of the systems. The validity of the results is verified by several simulated examples.

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Progress Of Quantum Information System And Its Scale Model Test, Miao Qiang, Dewei Wu Jan 2019

Progress Of Quantum Information System And Its Scale Model Test, Miao Qiang, Dewei Wu

Journal of System Simulation

Abstract: In the free-space quantum information technology application fields, such as the quantum communication system, the quantum positioning/navigation system and the quantum radar system, the non-ideal channel environment can cause quantum fading effect to destroy the availability of the whole quantum system. The development of the channel fading experiment of the quantum information transmission system was summarized and analyzed. The scale model experiment idea of the free-space quantum transmission system was put forward: the whole free-space quantum transmission system including the channel environmentwas reduced in size with a big scale factor to establish a scale model system; the operational principle, …

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Research And Implementation Of Antisubmarine Combatvisual Simulation System, Zhang Xin, Gao Yan, Zhang Jian, Changbo Wang Jan 2019

Research And Implementation Of Antisubmarine Combatvisual Simulation System, Zhang Xin, Gao Yan, Zhang Jian, Changbo Wang

Journal of System Simulation

Abstract: This paper constructs visual simulation framework of antisubmarine combat. The sea surface mesh was modeled using projected grid and FFT technologies. Both the sea surface and undersea are finely rendered. The submarine fine rendering algorithm was implemented by considering refraction, Fresnel reflection, Godray and underwater fog effect and using Shader technology, so as to build a realistic battlefield environment. The method of interpolation processing for data in WGS84 coordinates of latitude and longitude through local area network was proposed; the displacement interpolation and rotation interpolation were implemented by calculating the ratio between the current timestamp and both before and …

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