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3rd International Conference on Machine Learning and Computer Application, ICMLCA 2022

作者： Zhang, Dongjiang Zhang, Wei Hou, Yunhui Pan, Jian Guo, Xuncheng Qi, Qiong Wang, Youliang Institute of Modern Control Technology Xian China Science and Technology on Complex Aviation Systems Simulation Laboratory Beijing China

ISBN: (纸本)9781510664814

In order to study the damage characteristics of typical armored vehicle track under shock wave load, the finite element software LS-DYNA was used to simulate the process of shock wave damage to typical armored vehicle track. Eight simulation conditions were set up to obtain the influence rules of explosion conditions and track structure on shock wave damage, and the influence of explosive charge, explosive distance and track structure on damage effect was analyzed. The results showed that when the explosive charge exploded on the track side, the track deformation and fracture occurred at the position corresponding to the explosion center level, and the damage degree of shock wave to track changed with the explosive charge and track length. © 2023 SPIE.

关键词： Shock waves

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Unsupervised Martian Dust Storm Removal via Disentangled Representation Learning

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Research in Astronomy and Astrophysics 2022年第9期22卷 255-266页

作者： Dong Zhao Jia Li Hongyu Li Long Xu State Key Laboratory of Virtual Reality Technology and Systems School of Computer Science and EngineeringBeihang UniversityBejing 100191China State Key Laboratory of Space Weather National Space Science CenterChinese Academy of SciencesBeijing 100190China Peng Cheng Laboratory Shenzhen 518000China

Mars exploration has become a hot spot in recent years and is still advancing rapidly. However, Mars has massive dust storms that may cover many areas of the planet and last for weeks or even months. The local/global dust storms are so influential that they can significantly reduce visibility, and thereby the images captured by the cameras on the Mars rover are degraded severely. This work presents an unsupervised Martian dust storm removal network via disentangled representation learning(DRL). The core idea of the DRL framework is to use the content encoder and dust storm encoder to disentangle the degraded images into content features(on domain-invariant space) and dust storm features(on domain-specific space). The dust storm features carry the full dust storm-relevant prior knowledge from the dust storm images. The “cleaned” content features can be effectively decoded to generate more natural, faithful, clear *** primary advantages of this framework are twofold. First, it is among the first to perform unsupervised training in Martian dust storm removal with a single image, avoiding the synthetic data requirements. Second, the model can implicitly learn the dust storm-relevant prior knowledge from the real-world dust storm data sets, avoiding the design of the complicated handcrafted priors. Extensive experiments demonstrate the DRL framework’s effectiveness and show the promising performance of our network for Martian dust storm removal.

关键词： planets and satellites:atmospheres planets and satellites:general planets and satellites:surfaces

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Control of Stray Currents in Pipeline System based on Melnikov Theory 36

Control of Stray Currents in Pipeline System based on Melnik...

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第36届中国控制会议

作者： Peng Wang Bohu Li Guoqiang Shi Junhua Zhou School of Automation Science and Electrical Engineering BeiHang University Beijing Complex Product Advanced Manufacturing Engineering Research Center Beijing Simulation Center State Key Laboratory of Intelligent Manufacturing System Technology Beijing Institute of Electronic System Science and Technology on Space System Simulation Laboratory Beijing Simulation Center

ISBN: (纸本)9781538629185

The pipeline network interfered by the stray currents has been verified to be a complex nonlinear dynamical *** paper shows that the chaotic characteristic could be utilized in the stray currents *** prove this,this paper establishes an equivalent chaotic control *** we analyze this model by using Melnikov method and find out the condition under which the chaotic phenomenon will be *** order to get a sufficient proof for identifying the conclusion,simulation experiments are used to verify the validity of the control method.

关键词： stray currents chaos control Melnikov

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Apical-dominant particle swarm optimization

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Progress in Natural science:Materials International 2008年第12期18卷 1577-1582页

作者： Zhihua Cui~(a,b) Xingjuan Cai~b Jianchao Zeng~b Guoji Sun~a a State Key laboratory for Manufacturing systems Engineering,Xi’an Jiaotong University,Xi’an 710049,China b Division of System simulation and Computer Application,Taiyuan University of science and technology,Taiyuan 030024,China [a]State Key Laboratory for Manufacturing Systems Engineering Xi’an Jiaotong University Xi’an 710049 China [b]Division of System Simulation and Computer Application Taiyuan University of Science and Technology Taiyuan 030024 China

Particle swarm optimization (PSO) is a new stochastic population-based search methodology by simulating the animal social behaviors such as birds flocking and fish *** improvements have been proposed within the framework of this biological assumption. However,in this paper,the search pattern of PSO is used to model the branch growth process of natural *** provides a different poten- tial manner from artificial *** illustrate the effectiveness of this new model,apical dominance phenomenon is introduced to construct a ncvel variant by emphasizing the influence of the *** this improvement,the population is divided into three different kinds of buds associated with their ***,a mutation strategy is applied to enhance the ability escaping from a local ***- ulation results demonstrate good performance of the new method when solving high-dimensional multi-modal problems.

关键词： Apical-dominance phenomenon Particle swarm optimization Branch growth model High-dimensional multi-modal benchmarks

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Lateral jet force model identification based on FCM-SVM

Lateral jet force model identification based on FCM-SVM

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2011 International Conference on Electrical, Information Engineering and Mechatronics, EIEM 2011

作者： Liu, Xiaofeng Dong, Yunfeng Wang, Xiaolei School of Astronautics Beijing University of Aeronautics and Astronautics Beijing China Science and Technology on Space System Simulation Laboratory Beijing Simulation Center Beijing China

ISBN: (纸本)9781447124665

To describe the lateral jet force model accurately, an identification method based on FCM-SVM is provided. The experimental data is clustered with this method to gain the best partition and separating hyperplanes. Different classes are identified respectively using maximum-likelihood estimation method. The test data is classified through separating hyperplanes. The output of test data can be forecasted according to the expression of corresponding class. Result shows that the precision is increased by 31% compared with traditional identification model. The identification result based on FCM-SVM can supply support for the design of control system. © 2012 Springer-Verlag London Limited.

关键词： Geometry

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Lateral jet interaction model identification based on genetic programming

Lateral jet interaction model identification based on geneti...

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3rd International Conference on Artificial Intelligence and Computational Intelligence, AICI 2011

作者： Chen, Shi-Ming Dong, Yun-Feng Wang, Xiao-Lei School of Astronautics Beijing University of Aeronautics and Astronautics Beijing China Science and Technology on Space System Simulation Laboratory Beijing Simulation Center Beijing China

ISBN: (纸本)9783642238802

Precise lateral jet interaction models are required for missiles' blending control strategies. Because of the complicated flow field, the interaction models are multivariable, complex and coupled. Traditional aerodynamics coefficients model identification used Maximum-likelihood estimation to adjust the parameters of the postulation model, but it is not good at dealing with complex nonlinear models. A genetic programming (GP) method is proposed to identify the interaction model, which not only can optimize the parameters, but also can identify the model structure. The interaction model's inputs are altitude, mach number, attack angle and fire number of jets in wind channel experiment results, and its output is interaction force coefficient. The fitness function is root mean square error. Select suitable function set and terminal set for GP, then use GP to evolve model automatically. The identify process with different reproduced probability;crossover probability and mutation probability are compared. Results shows that GP's result error is decrease 30% than multi-variable regression method. © 2011 Springer-Verlag.

关键词： Missiles

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Study of application of reciprocal scale in quantitative analysis

Study of application of reciprocal scale in quantitative ana...

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5th International Conference on Applied Mathematics, simulation, Modelling, ASM'11

作者： Bai, Hanbin Wei, Jicai Complex Systems Simulation in the Science and Technology Complex Systems Simulation Laboratory Beijing Institute of System Engineer Post BOX. 9702#19 Beijing 100101 China

ISBN: (纸本)9781618040169

Focused on scale problems, this study demonstrated the importance of scale system selection, and necessity of scale system evaluation. The mutually exclusivity of complete consistency under different scale systems has been proved using mathematical contradiction method, and conclusions with practical significances has been obtained through experimental method in this study that the exponential scale is more reasonable than other scales in reciprocal scale system. Although there are some errors exist in the method used by this study, there are also certain practical significances for the analysis that how to increase the accuracy of AHP method.

关键词： Hierarchical systems

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Investigation of multiple-attribute decision making model based on uncertainty

Investigation of multiple-attribute decision making model ba...

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5th International Conference on Applied Mathematics, simulation, Modelling, ASM'11

ISBN: (纸本)9781618040169

There are many uncertainties in multiple-attribute decision making problems so that the reliability and correctness of decision making results depend on the scientifically and reasonably confirmation of attribute weights. Combination assigning method based on optimal eigenvectors which uses multi-objective optimization to integrate subjective and objective weightings was presented in the study so that the limitations of both subjective assigning method and objective assigning method have been overcome. Furthermore, decision making model based on TOPSIS method was also established to obtain more reasonable and scientific method of weightings confirmation method for multi-attribute decision making problems.

关键词： Multiobjective optimization

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Research on information capability based high-performance information sharing in the simulation grid

Research on information capability based high-performance in...

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2010 International Conference on Computer Modeling and simulation, ICCMS 2010

作者： Zhang, Ying-Chao Zhang, Jing Chen, Xin Yu, Qin-Zhang Zhang, Hao Beijing Institute of System Engineering National Key Laboratory of Science and Technology on Complex Systems Simulation Beijing China

ISBN: (纸本)9780769539416

For the purpose of achieving high-performance information sharing in the simulation grid, an information capability-based Three Phase High-performance Information Sharing Approach (TPHPISA for short) is advanced. The main idea of TPHPISA is selecting those information sources with highest information capability and executing the best query plan. To illustrate how TPHPISA works, an application example of implementing high-performance information sharing in the stock market simulation grid is thoroughly analyzed. At last, the searching efficiency and accuracy of TPHPISA are demonstrated through comparing with other similar method. © 2010 IEEE.

关键词： Information analysis

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Modeling and simulation of international politics evolution in crisis

Modeling and simulation of international politics evolution ...

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2010 International Conference on Computer Modeling and simulation, ICCMS 2010

作者： Yu, Qin-Zhang Zhang, Jing Zhang, Ying-Chao Beijing Institute of System Engineering National Key Laboratory of Science and Technology on Complex Systems Simulation Beijing China

ISBN: (纸本)9780769539416

Under the guidance of the theories of Complex Adaptive System and Artificial Societies, modeling and simulation of international politics evolution in crisis was studied. The Model of International Politics Evolution (IPEM) in crisis based on Agent was built. The function and architecture of IPEM were introduced. Individual Agent , including Nation Agent, International Organization Agent and Environment Agent, was described in detail. A simulation experiment was executed to prove the effectiveness of the method proposed in the paper. © 2010 IEEE.

关键词： Adaptive systems

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