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2020

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Articles 1291 - 1320 of 1664

Full-Text Articles in Numerical Analysis and Scientific Computing

Simulation Analysis Of Combustion Optimization Scheme For Ultra Supercritical Wall Arrangement Tangential Circle Boiler, Yingbao Li, Dongfeng Wang Jun 2020

Simulation Analysis Of Combustion Optimization Scheme For Ultra Supercritical Wall Arrangement Tangential Circle Boiler, Yingbao Li, Dongfeng Wang

Journal of System Simulation

Abstract: To research the combustion optimization scheme of air distribution type selection and low nitrogen oxides (NOx) emission in a 600MW supercritical wall arrangement tangential circle boiler, a modeling and simulating method which applied computational fluid dynamics (CFD) was proposed, the 3D grid model of the boiler is drawn by CAD software, the turbulence model, the radiation model and the inlet boundary condition of the boiler were determined, the boiler combustion simulation experiment was completed. The simulation results show that compared the change of velocity field, temperature field and NOx generation in the furnace under four type air distribution conditions …

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Speech Endpoint Detection Method Based On Lms Noise Reduction And Improved Dual-Threshold, Chunli Zhu, Li Xin Jun 2020

Speech Endpoint Detection Method Based On Lms Noise Reduction And Improved Dual-Threshold, Chunli Zhu, Li Xin

Journal of System Simulation

Abstract: Endpoint detection of speech in low signal-to-noise ratio plays a very important role in voice processing. For a speech signal that is polluted by additive noise, it is possible to suppress the noise and keep the original speech relatively constant. A dual-threshold speech endpoint detection algorithm was proposed based on the least mean squares error (LMS) adaptive filtering. Dual median filtering smoothing was performed before and after double-parameter double-threshold detection. Through the Matlab simulation, the speech endpoint detection method was compared with other methods. In the noise environment with low signal-to-noise ratio, the endpoint detection effect of speech has …

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Work Mode Identification Of Phased Array Radar With Denoising Auto-Encoder, Haodong Liu, Weidong Jin, Chunli Chen, Cai Jian Jun 2020

Work Mode Identification Of Phased Array Radar With Denoising Auto-Encoder, Haodong Liu, Weidong Jin, Chunli Chen, Cai Jian

Journal of System Simulation

Abstract: A new method to recognize phased array radar in different work modes was proposed based on multi-level modeling combined with Marginalized Stacked Denoising Auto-encoder. In order to analyze the change law of pulses intercepted by surveillance radar, multi-level modeling was proposed to model the pulses at pulse level, pulse group level and work mode level. Marginalized stacked denoising auto-encoder was trained to extract amplitude characteristics at the work mode level. SVM (Support Vector Machine) was added to the top of deep network to realize work mode identification of phased array radar. Qualitative experiments show that the new method is …

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Model Validation Method For Discrete Event Simulation, Niu Shuai, Shenglin Lin, Li Wei, Yang Ming Jun 2020

Model Validation Method For Discrete Event Simulation, Niu Shuai, Shenglin Lin, Li Wei, Yang Ming

Journal of System Simulation

Abstract: Due to the discrete event system with some characteristics like unfixed operation process, flexible entity state and other issues, a comprehensive validation method for discrete event simulation model based on qualitative and quantitative analysis was proposed. The evaluation index system was composed of four aspects that are the consistency of simulation results, logic correctness of events occurrence sequence, consistency of condition events occurrence probability and consistency of activity execution time respectively. A qualitative and quantitative calculation method for the bottom evaluation indexes was proposed. The qualitative analysis method was used to validate logic correctness of events occurrence sequence and …

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Research On Dynamic Authorization Allocation Of Collaborative Virtual Maintenance Based On Cpn Tools, Yunrong Zhang, Zhili Zhang, Shixin Ma Jun 2020

Research On Dynamic Authorization Allocation Of Collaborative Virtual Maintenance Based On Cpn Tools, Yunrong Zhang, Zhili Zhang, Shixin Ma

Journal of System Simulation

Abstract: In order to effectively deal with the concurrent behavior of cooperative virtual maintenance for the same object, a dynamic allocation scheme was proposed to complete the maintenance operation. Before the maintenance task was started, the maintenance steps were planned, and the operation rights were allocated dynamically according to the characteristics of each maintenance step. The idea of allocation and recovery of dynamic operation rights were proposed in multi person cooperative maintenance, discussing the method of ensuring the state uniqueness of maintenance personnel in the process of simulation maintenance. The process of dynamic rights allocation was simulated by colored …

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Action Recognition By Improved Dense Trajectories, Peizhen Xu, Zhibin Yu, Weidong Jin, Haiying Jiang Jun 2020

Action Recognition By Improved Dense Trajectories, Peizhen Xu, Zhibin Yu, Weidong Jin, Haiying Jiang

Journal of System Simulation

Abstract: In recent years, with strong robustness to fast irregular motion, the method of human motion representation based on dense trajectories has been used more and more in the field of behavior recognition. However, the relative motion of the background caused by the motion of the camera has a great influence on the extraction of the trajectories. In order to estimate the camera motion, the speed up robust feature (SURF) descriptor was used to match the feature points of each frame. Since the human motion and the camera motion were not same, human detection was added to remove inconsistent matches. …

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Data Driven Simulation Of Polluted Gas Dispersion Using Source Estimation And Particle Filter, Rongxiao Wang, Bin Chen, Sihang Qiu, Zhengqiu Zhu, Xiaogang Qiu Jun 2020

Data Driven Simulation Of Polluted Gas Dispersion Using Source Estimation And Particle Filter, Rongxiao Wang, Bin Chen, Sihang Qiu, Zhengqiu Zhu, Xiaogang Qiu

Journal of System Simulation

Abstract: The real-time prediction of the air contaminant dispersion in chemical industry park is important to the emergency management of air pollution accident. Due to the unknown source terms and the error of input parameters in the atmospheric dispersion model, the accuracy of traditional simulation is limited. A data driven atmospheric dispersion simulation based on source estimation and particle filter was proposed. Based on the results of the source estimation, particle filter was applied to assimilate the UAV observation into the dispersion model in real time to calibrate the system state and obtain more accurate prediction results. Experiments show that …

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Speed Regulation Of Pmsm System Based On Nonsingular Terminal Sliding Mode Control, Liu Xiang, Wang Yan, Dahu Yan, Zhicheng Ji Jun 2020

Speed Regulation Of Pmsm System Based On Nonsingular Terminal Sliding Mode Control, Liu Xiang, Wang Yan, Dahu Yan, Zhicheng Ji

Journal of System Simulation

Abstract: For the purpose of improving the speed regulation of permanent-magnet synchronous motor (PMSM) under disturbances and uncertainties, a nonlinear control algorithm based on nonsingular terminal sliding mode control method (NTSMC) was proposed. A speed tracking controller was presented by introducing a nonsingular terminal sliding mode manifold, which could not only solve the singularity problem but also make the manifold converge to zero in finite time. For the sake of reducing chattering phenomenon caused by discontinuous switching term, which usually contained sign function, a hyperbolic tangent function was utilized accounting for its continuity. Compared with the PI control method, the …

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Research Of State Vector In Short-Term Passengers Flow Forecasting Based On Nonparametric Regression, Guo Han, Pengpeng Jiao Jun 2020

Research Of State Vector In Short-Term Passengers Flow Forecasting Based On Nonparametric Regression, Guo Han, Pengpeng Jiao

Journal of System Simulation

Abstract: KNNR (K Nearest Neighbor Based Nonparametric Regression) Method was used for short-term traffic forecast and the choice of state vector was studied. The result shows that taking the data of some historical periods as the state vector has a good prediction. Although the correlation of the historical passenger flow between different Rail transit sites is significant, it neglects the fact that the passengers enter each station is independent. So taking the historical passenger flow of adjacent sites as the state vector is not appropriate.

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Energy Efficiency Optimization For Discrete Workshop Based On Parametric Knowledge Pigeon Swarm Algorithm, Shan Xin, Wang Yan, Zhicheng Ji Jun 2020

Energy Efficiency Optimization For Discrete Workshop Based On Parametric Knowledge Pigeon Swarm Algorithm, Shan Xin, Wang Yan, Zhicheng Ji

Journal of System Simulation

Abstract: Aiming at the characteristics of complexity, constraint in discrete manufacturing workshop, in order to minimize the total energy consumption of the workshop as the target, discrete knowledge pigeons algorithm was proposed to solve discrete workshop energy efficiency optimization. In this algorithm, parameter knowledge was introduced into the optimization process to balance local search and global search, and the convergence and optimization ability of the algorithm were improved. The discrete process was added to the pigeons algorithm, which not only preserved the convergence and optimization ability of the algorithm, but also made the algorithm capable of dealing with discrete problems. …

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Quick Diagnosis Of Ucav Control Surface Failure And Its Hardware-In-The-Loop Simulation, Guanhua Lu, Xia Jie Jun 2020

Quick Diagnosis Of Ucav Control Surface Failure And Its Hardware-In-The-Loop Simulation, Guanhua Lu, Xia Jie

Journal of System Simulation

Abstract: There are many problems in current detection methods such as conditional limitations and complexity of calculation which make them not easy to be put into practical application. The relationship between the servo motor information and the failure of the control surface was analyzed, and a method of detecting the failure rate of the control surface by using the servo current information in combination with the aerodynamic model was proposed. The result of its hardware-in-the-loop simulation shows that the detection system can quickly and accurately output the failure rate within 1 second which is a conservative estimate. That makes the …

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Research On Dynamic Flexible Job Shop Scheduling Problem For Energy Consumption, Chen Chao, Wang Yan, Dahu Yan, Zhicheng Ji Jun 2020

Research On Dynamic Flexible Job Shop Scheduling Problem For Energy Consumption, Chen Chao, Wang Yan, Dahu Yan, Zhicheng Ji

Journal of System Simulation

Abstract: In order to solve the problem of uneven load and energy consumption under disturbance, a flexible job shop scheduling model with average flow time and energy consumption was constructed. Aiming at the above model, a genetic and simulated annealing algorithm (GASA) was designed, which is based on the genetic algorithm and the simulated annealing algorithm. A new group of individuals were generated by genetic algorithm. And then the individual simulated the annealing process, in order to avoid falling into the local optimal. Aiming at the dynamic flexible job shop scheduling problem, the rolling window technique and GASA algorithm were …

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Vulcanization Shop Scheduling Based On Distribution Estimation Algorithm, Shougang Zhang, Longcheng Wu, Wang Yan, Zhicheng Ji Jun 2020

Vulcanization Shop Scheduling Based On Distribution Estimation Algorithm, Shougang Zhang, Longcheng Wu, Wang Yan, Zhicheng Ji

Journal of System Simulation

Abstract: Due to the characteristics of long time-consuming, energy consumption and high concentration in rubber tire vulcanization process, which is the tire production process bottlenecks process, a discrete distribution estimation algorithm (EDA) was proposed to solve the problem of vulcanization shop scheduling optimization with minimum maximum completion time as the optimization target. The algorithm was tested by different examples, and it was compared with the genetic algorithm and the harmony search algorithm. The experimental results show that the EDA algorithm is superior to the genetic algorithm and the harmony search algorithm in the quality of the solution and convergence speed, …

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Fault Diagnosis Method Of Rolling Bearing Based On Wkelm Optimized By Whale Optimization Algorithm, Jiya Xu, Wang Yan, Zhicheng Ji Jun 2020

Fault Diagnosis Method Of Rolling Bearing Based On Wkelm Optimized By Whale Optimization Algorithm, Jiya Xu, Wang Yan, Zhicheng Ji

Journal of System Simulation

Abstract: In order to recognize rolling bearing's fault types accurately according to the optimal characteristics of fault vibration signal of rolling bearing, a rolling bearing fault diagnosis method was proposed based on orthogonal matching pursuit algorithm and the optimized wavelet kernel extreme learning machine method. The OMP algorithm was used to de-noising the vibration signal of the bearing. The wavelet packet decomposition of the signal after de-noising was used to obtain the frequency band energy, and the fault characteristics were extracted. By using an improved whale optimization algorithm based on von-neumann, the penalty factor and kernel parameter of wavelet kernel …

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Research Of Air Mission Recognition Method Based On Deep Learning, Qingkai Yao, Shaojun Liu, Xiaoyuan He, Ou Wei Jun 2020

Research Of Air Mission Recognition Method Based On Deep Learning, Qingkai Yao, Shaojun Liu, Xiaoyuan He, Ou Wei

Journal of System Simulation

Abstract: In the large-scale simulation of war game, the air mission is the focus of the commander's attention. The rapid, accurate and automatic recognition of air missions is the prerequisite and basis for intelligent decision making. The rapid development of deep learning technology provided a practical and feasible solution for the extraction of complex battlefield posture features, and provided technical support for studying air mission recognition. The research progress of the traditional mission recognition research method and the mission recognition method based on the deep learning was summarized. The three methods of deep learning of Convolution Neural Network (CNN), Long-short …

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Numerical Simulation Of Diffusion Regularity Of Co In Fire Smoldering Phase In Aircraft Cabin, Jiaquan Lin, Ruiting Wang, Pi Jun, Ma Min, Jianzhong Yang Jun 2020

Numerical Simulation Of Diffusion Regularity Of Co In Fire Smoldering Phase In Aircraft Cabin, Jiaquan Lin, Ruiting Wang, Pi Jun, Ma Min, Jianzhong Yang

Journal of System Simulation

Abstract: In order to study the impact of the cabin air conditioning supply velocity on CO diffusing in the fire smoldering phase and the effect of the transportation of CO to human body, a simulation model of A320 aircraft cabin was established, and velocity field and CO concentration field under the different air supply velocity were simulated based on the fluid dynamics control equations. The relationship between the air conditioning supply velocity and the value of CO concentration as well as the diffusion area was obtained by the analysis of the transportation of CO in different directions. The drainage efficiency …

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Skeleton Extraction From Three-Dimensional Maize Based On Kinect, Zhili Fang, Weiliang Wen, Xinyu Guo, Jianwei Wu Jun 2020

Skeleton Extraction From Three-Dimensional Maize Based On Kinect, Zhili Fang, Weiliang Wen, Xinyu Guo, Jianwei Wu

Journal of System Simulation

Abstract: Aiming at acquiring three-dimensional skeleton of maize plant efficiently, an automatic three-dimensional maize plant skeleton extraction method based on Kinect data was proposed. Kinect data was transformed into point cloud data. Backgroundpoint cloud was deleted by threshold segmentation and the point cloud was stratified according to the height of the 3D model. Each layer was clustered by two circle iteration and the center points of each cluster could be obtained. The set of center points could be considered as the skeleton points of maize. The quadratic B-spline interpolation curve was used to obtain relatively accurate and smooth linear …

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Study On Motion Cueing Algorithm Of High-Fidelity Based On Fuzzy Logic, Wang Hui, Daoyang Zhu, Ping Fan Jun 2020

Study On Motion Cueing Algorithm Of High-Fidelity Based On Fuzzy Logic, Wang Hui, Daoyang Zhu, Ping Fan

Journal of System Simulation

Abstract: Because classical washout algorithm exists false cues and phase retardation, these problems cause the lack of motion proprioceptive fidelity in flight simulators. By combining human vestibular perception system and the theory of fuzzy logic control to regulate the feedback of its sensory error, the translational acceleration channel, the Tilt coordination channel and the angular velocity channel of classical wash out algorithm were compensated, respectively. Simulation and modeling was carried out by fuzzy logic washout algorithm, and simulation verification was conducted on a set of flight data within fuzzy logic washout algorithm. The simulation results show that the theory of …

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Topology Control Algorithm Based On Link Available Time For Cognitive Radio Network, Huaide Yang Jun 2020

Topology Control Algorithm Based On Link Available Time For Cognitive Radio Network, Huaide Yang

Journal of System Simulation

Abstract: The topology changes frequently in cognitive wireless network as nodes' mobility, the main user interference, residual energy of nodes which cause link unavailable. A new topology control algorithm based on predict of link available time was proposed to resolve the problem. The algorithm forecasted link available time using probabilistic principles, and built a stable topology with longest available time links. Simulation results show that the new algorithm can take advantage of links with low mobility nodes, less interference caused by the primary user, and large remaining energy, simplify the network topology, effectively reduce the cost of the link topology …

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Fault Diagnosis Algorithm Of Permanent Magnet Synchronous Motor Based On Improved Elm, Wang Xin, Wang Yan, Zhicheng Ji Jun 2020

Fault Diagnosis Algorithm Of Permanent Magnet Synchronous Motor Based On Improved Elm, Wang Xin, Wang Yan, Zhicheng Ji

Journal of System Simulation

Abstract: In order to address the common problems of lacking of phase and interturn short circuit fault, after analyzing the basic and corresponding fault model of permanent magnet synchronous motor(PMSM), an improved extreme learning machine (IELM) algorithm was proposed based on self-adaptive second-order particle swarm optimization (SaSECPSO). SaSECPSO employed adaptive inertia weight and cognitive coefficient with linear variation to improve the convergence rate and accuracy of second-order particle swarm optimization (SECPSO). In addition, the recognition rate of extreme learning machine (ELM) when solving the fault model of PMSM could be significantly improved by using SaSECPSO to simultaneously optimize input weights …

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Disruption Management Simulation For Multi-Mode Resource-Constrained Project Scheduling Problem, Shengming Liu, Shuxing Feng Jun 2020

Disruption Management Simulation For Multi-Mode Resource-Constrained Project Scheduling Problem, Shengming Liu, Shuxing Feng

Journal of System Simulation

Abstract: As the disruption management simulation for multi-mode resource-constrained project scheduling problem received little concern, a pretty reasonable disruption management simulation process was designed. After analyzing the functional weakness of MS Project, disruption management simulation for multi-mode resource-constrained project scheduling problem was implemented by optimized computation of CPLEX Studio IDE. According to examples from Project Scheduling Problem Library, the cases of a single disruption in a single moment and multiple disruptions in multiple moments were simulated as well as analyzed. The results show that the resource conflicts play an important role on time limit of whole project and simulation process …

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Optimization On Search Submarine Parameters Of Dipping Sonar Using Orthogonal Design Method, Musheng Luo, Zongjie Wang, Wencai Ge Jun 2020

Optimization On Search Submarine Parameters Of Dipping Sonar Using Orthogonal Design Method, Musheng Luo, Zongjie Wang, Wencai Ge

Journal of System Simulation

Abstract: To solve the limitation of multi-parameter analysis using one by one optimization method, search submarine parameters optimization of antisubmarine helicopter using dipping sonar was studied. After analyzing the submarine-search process of dipping sonar, search probability and average time of search cost were made as the indexes. The seven primary factors which influenced submarine-search efficiency were analyzed and corresponding factorial levels were selected. Based on orthogonal design method, the orthogonal test schemes of L18(61×36) were built, which could simulate seven parameters when their value changed simultaneously. Monte Carlo simulation model was built and all …

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Modeling And Control Method Of Photovoltaic Micro-Inverter, Weiliang Liu, Chunlai Li, Changliang Liu, Yinsong Wang, Yongjun Lin, Liangyu Ma, Wenying Chen Jun 2020

Modeling And Control Method Of Photovoltaic Micro-Inverter, Weiliang Liu, Chunlai Li, Changliang Liu, Yinsong Wang, Yongjun Lin, Liangyu Ma, Wenying Chen

Journal of System Simulation

Abstract: Photovoltaic micro-inverter can solve the poor reliability and low efficiency problem of centralized inverter, therefore it has a good application prospect. Small signal analysis model was established for the photovoltaic micro-inverter with flyback topology structure. Considering function of reverse current prevention being required when it was applied to the low voltage distribution network, control methods were disigned respectively for load current tracking mode and maximum power point tracking mode, and the controller parameters were optimized using genetic algorithm. Experimental and simulation results show that the micro-inverter can steadily work in two different modes, and reduce the harmonic content …

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Uav-Mimo Channel Characteristic Analysis Based On Gbsbcs Model, Xijun Gao, Zili Chen, Yongjiang Hu, Zidong Zhou Jun 2020

Uav-Mimo Channel Characteristic Analysis Based On Gbsbcs Model, Xijun Gao, Zili Chen, Yongjiang Hu, Zidong Zhou

Journal of System Simulation

Abstract: The simple form of UAV space-time-frequency channel correlation function was presented based on the three-dimensional geometrically based single bounce concentric elliptic ring scattering (GBSBCER) channel model of Multi-Input Multi-Output（MIMO）for Unmanned Aerial Vehicle (UAV). The analytic formula of UAV-MIMO normalized correlation matrix was deduced. The effect of antennas structures, flight distance and scatters distributing on the characteristic parameters such as the condition number of UAV-MIMO channel matrix and the channel capacity were analyzed by this formula. The simulation results show that, the performance of UAV-MIMO communication can be improved by reasonably arranging the antennas, adjusting the flight parameters, which …

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Magnetic Levitation System Simulating And Its Chaos Research, Jiang Dong, Deshan Kong, Xukun Liu, Jiaxiang Yang, Deyu Wang Jun 2020

Magnetic Levitation System Simulating And Its Chaos Research, Jiang Dong, Deshan Kong, Xukun Liu, Jiaxiang Yang, Deyu Wang

Journal of System Simulation

Abstract: The physical model, mathematical model and simulation model of the magnetic levitation system were set up. The function among magnetic force, electromagnet current and distance was deduced after the measuring. The dynamic equation of magnetic levitation ball was derived. The simulation model of the magnetic levitation ball system was set up. The simulation experiments for no vibration and external vibration and chaos state of the system were conducted. The phase trajectories of stable, quasi-periodic and chaotic states were researched. The waveforms of no vibration and external vibration and chaos state were measured. The tests show that the measured waveforms …

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Research And Simulation On Control Algorithm For Multi-Objective Optimization Of Urban Rail Train, Jianjun Meng, Minggao Pei, Wu Fu, Tengzhou Wei, Hao Shuai Jun 2020

Research And Simulation On Control Algorithm For Multi-Objective Optimization Of Urban Rail Train, Jianjun Meng, Minggao Pei, Wu Fu, Tengzhou Wei, Hao Shuai

Journal of System Simulation

Abstract: According to the characteristics of urban rail train running multiple objective, the multi-objective operation model for urban rail train was established with the energy consumption, punctuality, accurate parking and comfort level as the optimization indexes. Genetic algorithms was used to optimize running multi-objective model of urban rail train, and according to train traction calculation and computer simulation, the train running target curve was obtained. The fuzzy control and PID control algorithm were applied to urban rail train system to establish adaptive fuzzy PID controller and PID control in order to track the target curve. Simulation results show that adaptive …

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Filtering Based Maximum Likelihood Stochastic Gradient Prediction On Wind Power Curtailment, Ziyun Wang, Zhicheng Ji Jun 2020

Filtering Based Maximum Likelihood Stochastic Gradient Prediction On Wind Power Curtailment, Ziyun Wang, Zhicheng Ji

Journal of System Simulation

Abstract: The parameter estimation problem of Hammerstein finite impulse response models and its application on the wind curtailment prediction field were considered. By adopting the maximum likelihood principle, the maximum likelihood estimate was obtained by minimizing the likelihood function. To reduce the impact of the unknown noise term, the maximum likelihood idea and the filtering theory were combined by changing the coupled nonlinear model into a parameter-independent model and to derive a filtering based maximum likelihood stochastic gradient algorithm for the Hammerstein system modeling on wind power curtailment prediction. The given simulation validates that the proposed algorithm can identify the …

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Improved Harmony Search Algorithm In Application Of Vulcanization Workshop Scheduling, Longcheng Wu, Huang Song, Wang Yan, Zhicheng Ji Jun 2020

Improved Harmony Search Algorithm In Application Of Vulcanization Workshop Scheduling, Longcheng Wu, Huang Song, Wang Yan, Zhicheng Ji

Journal of System Simulation

Abstract: For solving the problem of low productivity and low machine utilization caused by unreasonable assignment in tire vulcanizing process, an improved Discrete Harmony Search (Improved Harmony Search, IHS) Algorithm was proposed to optimize the maximum completion time of vulcanizing workshop scheduling. This algorithm has three processes including individual memory consideration process, disturbance search process and competitive selection mechanism. In the competitive selection mechanism, the corresponding individual in harmony memory or worst solution was replaced with new solution and harmony memory was updated. That strategy made each individual in memory more quickly fly to the optimal solution. The algorithm was …

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Research On Compensation Algorithms For Pneumatic Distortion Of Pneumatic Tube, Haifa Dai, Jianwu Tao, Yueming Yang Jun 2020

Research On Compensation Algorithms For Pneumatic Distortion Of Pneumatic Tube, Haifa Dai, Jianwu Tao, Yueming Yang

Journal of System Simulation

Abstract: Based on the problem for velocity attenuation of Flush Air-Data Sensing (FADS) system, a compensation algorithm was developed to compensate for the pneumatic distortion. The principle of velocity measurement by Flush Air Data Sensing (FADS) system based on vector sensor was introduced, the attenuation model was reduced to a second order, state variable model, the comparison of frequency response with both model verifying that the reduced model remains the most dynamic characteristics of the original one. Then, based on the state variable model, the algorithm to compensate for distortion was developed by utilizing minimum estimation theory and Kalman filtering …

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Research On Weapon System Design For Risk Management Based On Object-Process Methodology, Zheng Zhan, Yao Jian, Yang Feng, Wenguang Wang Jun 2020

Research On Weapon System Design For Risk Management Based On Object-Process Methodology, Zheng Zhan, Yao Jian, Yang Feng, Wenguang Wang

Journal of System Simulation

Abstract: In order to improve the integration and coordination of the weapon systems engineering and risk management, a new approach was proposed that integrated risk aspects with system analysis, modeling and design in weapon systems engineering. The approach established the lifecycle model of the weapon systems engineering to realize the risk identification and control in risk management based on OPM (Object-Process Methodology). V & V (verification and validation) was implemented to the OPM model by the simulation and execution progress, which significantly ensured the correctness and consistency of information and knowledge. It shows a case of UAV-based anti-missile defense system …

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