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Research On Herd Behavior Simulation Based On Scale Free Network In Artificial Stock Market, Wu Jiang, Zhang Hui, Chuan Tang 2020 1. Department of Management Science, School of Statistics, Southwestern University of Finance & Economics, Chengdu 611130, China;;

Research On Herd Behavior Simulation Based On Scale Free Network In Artificial Stock Market, Wu Jiang, Zhang Hui, Chuan Tang

Journal of System Simulation

Abstract: To study the mechanism of herd behavior, an artificial stock market multi-agents model was established based on a scale free network investor relationship structure. Four kinds of investors were defined, which are fundamentalists, noise traders, speculators, and trend followers. Investors made a transaction according to their own specific investment strategy, and were meanwhile influenced from own neighbors, so the herd behavior came into being among these investors. The simulation results show that there is a positive relationship between the total herd behavior level of investors and the volatility of returns, and a significant difference between herding levels for four …


Modeling And Control Simulation Research Of Macro-Micro 3-Rpr Parallel Mechanism, Youxiong Xu, Zhou Hao, Songqing Zhu, Renjie Gu 2020 Nanjing Institute of Technology, Nanjing 211167, China;

Modeling And Control Simulation Research Of Macro-Micro 3-Rpr Parallel Mechanism, Youxiong Xu, Zhou Hao, Songqing Zhu, Renjie Gu

Journal of System Simulation

Abstract: According to the contradiction between the large stroke and high precision of the parallel mechanism, a novel macro-micro 3-RPR parallel mechanism was presented which used the electrohydraulic servo control system as the macro driven and used the piezoelectric precision control system as the micro driven. Then, the macro-micro coupling dynamic model of the macro-micro 3-RPR parallel mechanism was deduced by principle of Virtual work. Its multi-software co-simulation model was built, including Adams mechanical module, AMESim hydraulic and piezoelectric diver module, Matlab/Simulink control module. According to the 3-RPR parallel mechanism characteristics of multi-input multi-output, nonlinear, strong coupling and so …


Selection Of Simulation Model Based On Principal Component Analysis, Jiao Song, Shaojie Mao, Zhenqi Ju, Chu Wei 2020 Science and Technology on Information Systems Engineering Laboratory, The 28th Research Institute of China Electronics Technology Group Corporation, Nanjing 210007, China;

Selection Of Simulation Model Based On Principal Component Analysis, Jiao Song, Shaojie Mao, Zhenqi Ju, Chu Wei

Journal of System Simulation

Abstract: To reduce the subjectivity of result for selecting the simulation model when the reference output is complete, the selection method of simulation model based on principal component analysis and grey comprehensive evaluation was proposed. The simulation outputs were divided into three kinds of static data, gradual data and fast data according to the data feature, and the measure models of differences for each kind data were given. The correlation among the feature differences was eliminated via principal component analysis, and several independent principal components were gained. The independent principal components were integrated based on grey comprehensive evaluation, and …


Adaptive Quick Artificial Bee Colony Algorithm Based On Opposition Learning, Xiaojian Yang, Yiwei Dong 2020 College of Electronics and Information Engineering, Nanjing Tech University, Nanjing 211816, China;

Adaptive Quick Artificial Bee Colony Algorithm Based On Opposition Learning, Xiaojian Yang, Yiwei Dong

Journal of System Simulation

Abstract: On the basis of analyzing such shortcomings of the artificial bee colony algorithm (ABC) as slow convergence, low convergence precision and premature convergence, the opposition-learning adaptive quick artificial bee colony algorithm (OAQABC) was proposed. A new step size was proposed, which made the around food source parameter of quick artificial bee colony algorithm (QABC) adaptive, and combined the opposition-based learning to improve the employed bee phase. The experimental results show that OAQABC has better performance than basic ABC and QABC. Also the optimization performance of OAQABC is better than particle swarm optimization (PSO) algorithm and Cuckoo Search (CS) algorithm …


Design Of Virtual Prototype For Lunar Rover In Training Simulation System For Teleoperation, Miao Yi, Ti Zhou 2020 Beijing Aerospace Control Center, Beijing 100094, China;

Design Of Virtual Prototype For Lunar Rover In Training Simulation System For Teleoperation, Miao Yi, Ti Zhou

Journal of System Simulation

Abstract: To implement the requirements of training and simulation for the teleoperation of lunar rover, the methods of modeling lunar rover is studied in the simulation of virtual prototype on ADAMS, a framework was proposed for the simulation system of lunar rover, the 3D-ontology model of virtual prototype was given, the relative relations were analyzed among parts, and relatively fixed parts were partitioned by combining. The constraints relations were modeled by kinematics pair, and the dynamics moment in the motions were added for the relative moving of parts. A series of experiments were designed to validate that the simulation of …


Research On Simulation Of Heat Source Model Based On Finite Element Method In Surface Grinding, Wang Yan, Jianhua Xie, Xiong Wei, Yang Lin, Zhang Sheng 2020 1.School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China;;

Research On Simulation Of Heat Source Model Based On Finite Element Method In Surface Grinding, Wang Yan, Jianhua Xie, Xiong Wei, Yang Lin, Zhang Sheng

Journal of System Simulation

Abstract: Considering the influence of cutting chip thickness on the heat flux distribution, the discrete loading method of heat source model and its effects on numerical calculation error were analyzed. A novel load method towards heat source model with a non-integral function distribution was put forward based on the discretizing idea of finite element method (FEM). On the basis of the new provided load method, simulations about typical grinding conditions were conducted using parabolic and Rayleigh distribution heat source model, to analyze the influence law of heat source model on grinding temperature field. Compared with the measured grinding temperature and …


Simulative Analysis Of Capacity Of Transmission Data For Drilling Fluid Based On Cfd, Hongyuan Zheng, Bai Rui, Shuijing Lü, Ce Liu 2020 1. No.3 Research Institute of China Electronics Technology Group Corporation, Beijing 100015, China;;

Simulative Analysis Of Capacity Of Transmission Data For Drilling Fluid Based On Cfd, Hongyuan Zheng, Bai Rui, Shuijing Lü, Ce Liu

Journal of System Simulation

Abstract: Drilling fluid is a typical information transmission medium in the field of oil industry. But for a long time, the lack of relevant research on the data carrying capacity of its data results in difficult to develop high performance mud pulse generator. The CFD simulation technology as a tool; to the actual oil down-hole working environment as the background, and to the depth of the parameters for variables, water-based drilling fluid data transmission capacity were systematically researched. The corresponding relationship between the mud pressure wave transport rate and the depth of the mud at 1000~6000 m depth was obtained, …


Study On Goaf Treatment And Settlement Simulation Of Existing Overlying Highway Subgrade, Tiejun Cui, Yundong Ma, Laigui Wang 2020 1. College of Safety Science and Engineering, Liaoning Technical University, Fuxin 123000, China;;2. Key Laboratory of Mine Thermodynamic Disasters and Control of Ministry of Education, Fuxin 123000, China;;3. Tunnel & Underground Structure Engineering Center of Liaoning,Dalian Jiaotong University, Dalian 116028, China;;

Study On Goaf Treatment And Settlement Simulation Of Existing Overlying Highway Subgrade, Tiejun Cui, Yundong Ma, Laigui Wang

Journal of System Simulation

Abstract: To avoid that mining impacts on the settlement of above highway roadbed, goaf treatment schemes were put forward, such as roof blasting, filling mining and filling mining+roof blasting. According to the rules it is set that the subgrade settlement limit is 0.3 m, and filling rate is 0.85, 0.9 and 0.95. PFC3D explosion model to simulate the blasting was introduced, 7 schemes were put forward for simulating methods of filling body, and the 7 schemes were implemented. The simulation results show that the igneous rock 4 in rock migration process has the function of inhibitting the movement of the …


Structure Optimum Of Packer Slips Based On Test And Numerical Simulation, Xiaohua Zhu, Shengqi Chao, Zulin Liu, Chen Bo, Haibing Tang, Kaifeng Liang 2020 1. Mechatronic Engineering College of Southwest Petroleum University, Chengdu 610500, China;;

Structure Optimum Of Packer Slips Based On Test And Numerical Simulation, Xiaohua Zhu, Shengqi Chao, Zulin Liu, Chen Bo, Haibing Tang, Kaifeng Liang

Journal of System Simulation

Abstract: The permanent packer is an essential tool for segment fracturing during shale gas exploitation. The structure of the slips directly affects its setting ability. For Y440 type packer, setting and sealing tests were carried out, and the results show that the packer exists slip during sealing operation, which may exacerbates slip and even slip off under the condition of shock and vibration in a wellbore. Finite element models were established based on nonlinear explicit dynamic analysis method. According to the comprehensive evaluation on the stress value, plastic deformation and the slippage of slips with the different tooth …


Simulation Approach To Temperature Measuring Using Image Color Based On Support Vector Regression, Ren Yan, Xiaomin Zhou, Guan Wei, Fu Li, Xinyu Chen 2020 School of Automation, Shenyang Aerospace University, Shenyang 110136, China;

Simulation Approach To Temperature Measuring Using Image Color Based On Support Vector Regression, Ren Yan, Xiaomin Zhou, Guan Wei, Fu Li, Xinyu Chen

Journal of System Simulation

Abstract: As it is all known, it is difficult to measure high temperature directly in complex industrial environment. Thus, a new temperature soft-measuring method based on Support Vector Regression (SVR) was proposed. SVR model was used to fit the complex nonlinear mapping relationship between the feature values of color images of the high temperature object and its temperature. And then the trained model could predict the temperature by inputting the features of colorimages. Simulation results demonstrate that the improved algorithm has excellent generalization ability and predictive ability. What’s more, this model needs less support vectors and learns faster.


On Linear Mmse Based Turbo-Equalization Of Nonlinear Volterra Channels, Yecai Guo, Weiwei Ma, Zhang Shan, Ruizhi Zhou 2020 1. Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment, Nanjing University of Information Science & Technology, Nanjing 210044, China;;2. School of Electronic & Information Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China;;

On Linear Mmse Based Turbo-Equalization Of Nonlinear Volterra Channels, Yecai Guo, Weiwei Ma, Zhang Shan, Ruizhi Zhou

Journal of System Simulation

Abstract: Nonlinear intersymbol interference is one of the important factors affecting the satellite channel, and it is very necessary to eliminate and reduce the effect. On the basis of using the Volterra series decomposition to denote the nonlinear channel, linear Minimum Mean Square Error (MMSE) based Volterra channel turbo equalization algorithm was proposed. In this proposed algorithm, after the linear MMSE equalizer and its two approximation algorithms were derived, the proposed linear MMSE based Volterra channel turbo equalization exact and approximate algorithms could not only eliminate the linear and nonlinear intersymbol interference but also reduce the computation complexity. Simulation results …


Failure Risk Identification Model And Simulation Of Supply Chain Under O2o E-Commerce Model, Zhang Hao, Mingkun Wang 2020 Business School, Beijing Technology and Business University, Beijing 100048, China;

Failure Risk Identification Model And Simulation Of Supply Chain Under O2o E-Commerce Model, Zhang Hao, Mingkun Wang

Journal of System Simulation

Abstract: With the expansion of Online to Offline (O2O) e-commerce market size, how to effectively prevent the occurrence of supply chain failure risk becomes the key factor to ensure O2O e-commerce market to operate well. The key influencing factors of the supply chain failure risk were analyzed and sorted. Based on causal relationship between various influencing factors, Bayesian network was constructed to analyze crucial factors. The application of triangle fuzzy number was introduced to gather value of conditional probability of Bayesian network. A case study on the failure risk identification model of fresh agricultural product supply chain under O2O model …


Optimal Real-Time Pricing Model Of Smart Grid Based On Markov Decision Process, Jiangbo Li, Wang Bo, Gao Yan, Huizhen Zhang 2020 College of Management, University of Shanghai for Science and Technology, Shanghai 200093, China;

Optimal Real-Time Pricing Model Of Smart Grid Based On Markov Decision Process, Jiangbo Li, Wang Bo, Gao Yan, Huizhen Zhang

Journal of System Simulation

Abstract: Real-time electricity price strategy is the effective means to save electricity and improve user electricity utility value. A real-time electricity price optimization model based on Markov Decision Process was raised. Using finite horizon method, the model structure the mathematical model which makes the expected utility maximum of supply side and demand side, and optimize the existing electricity utility function according to decreasing risk theory which using logarithmic form can describe the power utility of user more accurate. Particle Swarm Optimization was used to solve this model and make the results compare with the situation of fixed power price, the …


Adaptive Dynamic Programming In Raw Meal Fineness Control Of Vertical Mill Grinding Process Based On Extreme Learning Machine, Xiaofeng Lin, Weikai Kong 2020 Guangxi University, Nanning 530004, China;

Adaptive Dynamic Programming In Raw Meal Fineness Control Of Vertical Mill Grinding Process Based On Extreme Learning Machine, Xiaofeng Lin, Weikai Kong

Journal of System Simulation

Abstract: The grinding process of vertical mill raw meal in cement industry features nonlinear, strong coupling and long time-delay, which is difficult to model precisely and implement stable control for raw meal fineness. Against the problem, a production index prediction model of vertical mill raw meal grinding process was established using Extreme Learning Machine (ELM). Adaptive dynamic programming (ADP) was used to control the raw meal fineness, whose action and critic networks were implemented by online sequential extreme learning machine. In the meaning of simulation, the results show that the proposed method is valid and helpful to reduce the …


Research On Control Strategy Of Switched Reluctance Motor Drive System For Mine Electric Locomotive, Xiaoping Zhang, Yanhong Zhou, Zhang Zhu 2020 1. Hunan Province Engineering Laboratory of Marine Mineral Resources Exploration Equipment and Technology,Hunan University of Science and Technology, Xiangtan 411201, China;;

Research On Control Strategy Of Switched Reluctance Motor Drive System For Mine Electric Locomotive, Xiaoping Zhang, Yanhong Zhou, Zhang Zhu

Journal of System Simulation

Abstract: Due to simple structure features, low cost, small starting current, large starting torque, and reliability, Switched Reluctance Motor (SRM) are very suitable for application in the mine electric locomotive electric transmission system. The basic structure and working principle of SRM were introduced, considering the working characteristics of mine electric locomotive, direct torque control strategy based on adaptive fuzzy PI control was proposed. Design method of the strategy was elaborated, after which simulation verification of control effect and comparison analysis with traditional methods were conducted. Simulation results show that, the control strategy effectively solves the problem of large torque ripple …


Finite Element Simulation Of Ultrasonic Guided Wave To Detect Through-Type Defects In Pipe, Hongwei Hu, Zexiang Wang, Guangkai Sun, Peng Gang 2020 1. College of Automobile and Mechanical Engineering, Changsha University of Science & Technology, Changsha 410114, China;;2. School of Mechanical Engineering and Automation, Beihang University, Beijing 100191, China;

Finite Element Simulation Of Ultrasonic Guided Wave To Detect Through-Type Defects In Pipe, Hongwei Hu, Zexiang Wang, Guangkai Sun, Peng Gang

Journal of System Simulation

Abstract: To get the relationship between the defects and ultrasonic guided wave, the dispersion characteristic of guided wave in pipe was studied. Then the finite element model of a pipe with a through-type defect was established. Taking the axial and circumferential defects with different sizes as research objects, the relationship between the defect location and defect size with the ultrasonic guided wave reflection coefficients was studied, using a control variable method, by finite element simulation. The results show that there is a linear relationship between the circumferential sizes of the defect and the reflection coefficients for through-type defects …


Nacelle Wind Speed Correction Of Wind Turbine Generation Units Based On Wind Speed Measured By Anemometer Tower, Gao Feng, Xiyun Yang, Wang Wei, Zhang Lei 2020 1. School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China;;

Nacelle Wind Speed Correction Of Wind Turbine Generation Units Based On Wind Speed Measured By Anemometer Tower, Gao Feng, Xiyun Yang, Wang Wei, Zhang Lei

Journal of System Simulation

Abstract: In consideration that there are great calculation errors in theoretical correction of nacelle wind speed, the entire range of wind speed was divided according to changes of control strategies for wind turbine generation unit. The nacelle transfer function (NTF) was defined by higher-order polynomial fitting to identify a method for correcting nacelle wind speed based on wind measurements of the anemometer tower. It doesn’t only overcome problems like poor practicability of IEC standards NTF, but also has higher fitting precision than simple linear fitting without intervals. By introducing intermediate intervals, the problem about discontinuous NTF in different sections …


Measuring Principle Research On Fundamental Wave Of Grid Based On Curve Fitting Model, Liyun Liu, Zhezhao Zeng 2020 1. Department of Electron Information Engineer, Loudi College of Vocational & Technical, Loudi 417000, China;;

Measuring Principle Research On Fundamental Wave Of Grid Based On Curve Fitting Model, Liyun Liu, Zhezhao Zeng

Journal of System Simulation

Abstract: Measuring principle of grid fundamental wave based on algebraic polynomial model is proposed. Its main idea is to optimize parameters of algebraic polynomial model so as to accurately fit the power grid fundamental wave signal to be measured based on the recursive least squares (RLS), and then the steepest descent method was adopted to iteratively calculate zeros of the fitting polynomial model, and then fundamental frequency was obtained according to time difference of the adjacent two zeros. Fundamental wave amplitude could be obtained according to the fitting model values corresponding to the middle of the adjacent two zero points. …


Study On Track And Detect Algorithm In Radar Networking Based On Gmphd, Wenbo Zhao, Hailong Ding 2020 Amy Officer Academy of PLA, Hefei 230031, China;

Study On Track And Detect Algorithm In Radar Networking Based On Gmphd, Wenbo Zhao, Hailong Ding

Journal of System Simulation

Abstract: The states and number of WSNR multi-target are tracked accurately by Gaussian mixture probability hypothesis density algorithm (GMPHDA) application. But tracking result is random set of target states, it doesn't correspond one to one with real targets. And the complete algorithm about corresponding has not been proposed. To get target tracks corresponding with real targets, a suite of algorithm about identifying target tracks is proposed, called track identification algorithm, which contains track distinction, continuance, newborn and restoration. The track identification algorithm improves track and detect algorithm in multi-radar networking. Simulation results show that WSNR multi-target is tracked in multi-radar …


Neural Network Inverse Control For The Output Voltage Of Energy Storage Inverter In Micro-Grid, Weiliang Liu, Yongjun Lin, Changliang Liu, Wenying Chen, Liangyu Ma 2020 Automation Department of North China Electric Power University, Baoding 071003, China;

Neural Network Inverse Control For The Output Voltage Of Energy Storage Inverter In Micro-Grid, Weiliang Liu, Yongjun Lin, Changliang Liu, Wenying Chen, Liangyu Ma

Journal of System Simulation

Abstract: In order to improve the output voltage waveform quality of energy storage inverter in micro-grid, an inverse control method was proposed based on BP neural network. Mathematical model of the energy storage inverter was established, and the main factors affecting the output voltage were analyzed, and then the expansion inverse model of the system was established based on BP neural network. In order to overcome the local optimum disadvantage in BP training algorithm, gravity algorithm was adopted to optimize the network initial parameters. The neural network inverse model was put in series with its original model to form a …


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