The lack of systematic and scientific top-level arrangement in the field of civil aircraft flight test leads to the problems of long duration and high cost.Based on the flight test activity,mathematical models of flig...The lack of systematic and scientific top-level arrangement in the field of civil aircraft flight test leads to the problems of long duration and high cost.Based on the flight test activity,mathematical models of flight test duration and cost are established to set up the framework of flight test process.The top-level arrangement for flight test is optimized by multi-objective algorithm to reduce the duration and cost of flight test.In order to verify the necessity and validity of the mathematical models and the optimization algorithm of top-level arrangement,real flight test data is used to make an example calculation.Results show that the multi-objective optimization results of the top-level flight arrangement are better than the initial arrangement data,which can shorten the duration,reduce the cost,and improve the efficiency of flight test.展开更多
Dempster-Shafer evidence theory is broadly employed in the research of multi-source information fusion.Nevertheless,when fusing highly conflicting evidence it may pro-duce counterintuitive outcomes.To address this iss...Dempster-Shafer evidence theory is broadly employed in the research of multi-source information fusion.Nevertheless,when fusing highly conflicting evidence it may pro-duce counterintuitive outcomes.To address this issue,a fusion approach based on a newly defined belief exponential diver-gence and Deng entropy is proposed.First,a belief exponential divergence is proposed as the conflict measurement between evidences.Then,the credibility of each evidence is calculated.Afterwards,the Deng entropy is used to calculate information volume to determine the uncertainty of evidence.Then,the weight of evidence is calculated by integrating the credibility and uncertainty of each evidence.Ultimately,initial evidences are amended and fused using Dempster’s rule of combination.The effectiveness of this approach in addressing the fusion of three typical conflict paradoxes is demonstrated by arithmetic exam-ples.Additionally,the proposed approach is applied to aerial tar-get recognition and iris dataset-based classification to validate its efficacy.Results indicate that the proposed approach can enhance the accuracy of target recognition and effectively address the issue of fusing conflicting evidences.展开更多
针对以往杀伤网作战链路服务化构建流程精确性低、结构化弱、不易分析修正的问题,提出了一种基于业务流程建模符号(business process modeling notation,BPMN)的流程设计方法,该方法在传统云协同体系架构的基础上设计了云边协同杀伤网架...针对以往杀伤网作战链路服务化构建流程精确性低、结构化弱、不易分析修正的问题,提出了一种基于业务流程建模符号(business process modeling notation,BPMN)的流程设计方法,该方法在传统云协同体系架构的基础上设计了云边协同杀伤网架构;在边缘指挥控制理论的指导下分析了杀伤网的作战链路服务化构建流程,基于一切即服务模式明确了流程中关联的业务实体和包含的业务环节;基于业务流程3步法设计了用于生成流程的BPMN2.0模型片段及其聚合方式,并以海上反无人集群杀伤网为例,验证了方法的有效性。展开更多
电动汽车(electric vehicle,EV)既是交通网的车流负荷,又是电网的用电负荷,它的出行以及充电行为会对交通网和电网的运行规律造成影响。针对电动汽车单体进行随机抽样的传统预测方法,未能从电动汽车群体的移动运行状态考虑,提出了一种...电动汽车(electric vehicle,EV)既是交通网的车流负荷,又是电网的用电负荷,它的出行以及充电行为会对交通网和电网的运行规律造成影响。针对电动汽车单体进行随机抽样的传统预测方法,未能从电动汽车群体的移动运行状态考虑,提出了一种基于交通均衡理论的电动汽车充电负荷预测方法。首先在时间和空间两个维度上,分别对电动汽车和路网进行建模,采用A*算法构建电动汽车出行原目的地(origin-destination,OD)对的有效的路径集。计及用户有限理性,引入分时电价制定了一种计及交通流量约束的充电站电价,并结合随机效用理论与分时电价,建立了半动态交通均衡模型来求解交通流的分配。随后基于组合荷电状态(calculation method of combined state of charge,CSOC)的概率数值计算方法对电动汽车充电负荷进行求解。最后,基于上海市新能源汽车数据,分别以改进的13节点路网和上海市某区域路网分析验证了所提充电负荷预测方法的有效性,结果表明所提方法可以降低充电成本,缓解充电站充电压力。展开更多
基金supported by the National Natural Science Foundation of China(62073267,61903305)the Fundamental Research Funds for the Central Universities(HXGJXM202214).
文摘The lack of systematic and scientific top-level arrangement in the field of civil aircraft flight test leads to the problems of long duration and high cost.Based on the flight test activity,mathematical models of flight test duration and cost are established to set up the framework of flight test process.The top-level arrangement for flight test is optimized by multi-objective algorithm to reduce the duration and cost of flight test.In order to verify the necessity and validity of the mathematical models and the optimization algorithm of top-level arrangement,real flight test data is used to make an example calculation.Results show that the multi-objective optimization results of the top-level flight arrangement are better than the initial arrangement data,which can shorten the duration,reduce the cost,and improve the efficiency of flight test.
基金supported by the National Natural Science Foundation of China(61903305,62073267)the Fundamental Research Funds for the Central Universities(HXGJXM202214).
文摘Dempster-Shafer evidence theory is broadly employed in the research of multi-source information fusion.Nevertheless,when fusing highly conflicting evidence it may pro-duce counterintuitive outcomes.To address this issue,a fusion approach based on a newly defined belief exponential diver-gence and Deng entropy is proposed.First,a belief exponential divergence is proposed as the conflict measurement between evidences.Then,the credibility of each evidence is calculated.Afterwards,the Deng entropy is used to calculate information volume to determine the uncertainty of evidence.Then,the weight of evidence is calculated by integrating the credibility and uncertainty of each evidence.Ultimately,initial evidences are amended and fused using Dempster’s rule of combination.The effectiveness of this approach in addressing the fusion of three typical conflict paradoxes is demonstrated by arithmetic exam-ples.Additionally,the proposed approach is applied to aerial tar-get recognition and iris dataset-based classification to validate its efficacy.Results indicate that the proposed approach can enhance the accuracy of target recognition and effectively address the issue of fusing conflicting evidences.
文摘针对以往杀伤网作战链路服务化构建流程精确性低、结构化弱、不易分析修正的问题,提出了一种基于业务流程建模符号(business process modeling notation,BPMN)的流程设计方法,该方法在传统云协同体系架构的基础上设计了云边协同杀伤网架构;在边缘指挥控制理论的指导下分析了杀伤网的作战链路服务化构建流程,基于一切即服务模式明确了流程中关联的业务实体和包含的业务环节;基于业务流程3步法设计了用于生成流程的BPMN2.0模型片段及其聚合方式,并以海上反无人集群杀伤网为例,验证了方法的有效性。
文摘电动汽车(electric vehicle,EV)既是交通网的车流负荷,又是电网的用电负荷,它的出行以及充电行为会对交通网和电网的运行规律造成影响。针对电动汽车单体进行随机抽样的传统预测方法,未能从电动汽车群体的移动运行状态考虑,提出了一种基于交通均衡理论的电动汽车充电负荷预测方法。首先在时间和空间两个维度上,分别对电动汽车和路网进行建模,采用A*算法构建电动汽车出行原目的地(origin-destination,OD)对的有效的路径集。计及用户有限理性,引入分时电价制定了一种计及交通流量约束的充电站电价,并结合随机效用理论与分时电价,建立了半动态交通均衡模型来求解交通流的分配。随后基于组合荷电状态(calculation method of combined state of charge,CSOC)的概率数值计算方法对电动汽车充电负荷进行求解。最后,基于上海市新能源汽车数据,分别以改进的13节点路网和上海市某区域路网分析验证了所提充电负荷预测方法的有效性,结果表明所提方法可以降低充电成本,缓解充电站充电压力。
