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Three-dimensional finite-time optimal cooperative guidance with integrated information fusion observer
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作者 Yiao Zhan Linwei Wang Di Zhou 《Defence Technology(防务技术)》 2025年第4期12-28,共17页
Intercepting high-maneuverability hypersonic targets in near-space environments poses significant challenges due to their extreme speeds and evasive capabilities.To address these challenges,this study presents an inte... Intercepting high-maneuverability hypersonic targets in near-space environments poses significant challenges due to their extreme speeds and evasive capabilities.To address these challenges,this study presents an integrated approach that combines a Three-Dimensional Finite-Time Optimal Cooperative Guidance Law(FTOC)with an Information Fusion Anti-saturation Predefined-time Observer(IFAPO).The proposed FTOC guidance law employs a nonlinear,non-quadratic finite-time optimal control strategy designed for rapid convergence within the limited timeframes of near-space interceptions,avoiding the need for remaining flight time estimation or linear decoupling inherent in traditional methods.To complement the guidance strategy,the IFAPO leverages multi-source information fusion theory and incorporates anti-saturation mechanisms to enhance target maneuver estimation.This method ensures accurate and real-time prediction of target acceleration while maintaining predefined convergence performance,even under complex interception conditions.By integrating the FTOC guidance law and IFAPO,the approach optimizes cooperative missile positioning,improves interception success rates,and minimizes fuel consumption,addressing practical constraints in military applications.Simulation results and comparative analyses confirm the effectiveness of the integrated approach,demonstrating its capability to achieve cooperative interception of highly maneuvering targets with enhanced efficiency and reduced economic costs,aligning with realistic combat scenarios. 展开更多
关键词 Anti-saturation predefined-time observer Nonlinear finite-time optimal control Three-dimensional guidance information fusion
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基于融合劣化指标和VMD-Informer的水电机组劣化趋势预测
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作者 宋阿妮 陈亦真 +2 位作者 詹云峰 李超顺 付波 《中国农村水利水电》 北大核心 2025年第5期90-96,共7页
水电机组长期运行在恶劣环境下,异常振动更加频繁,逐渐出现疲劳、磨损,导致机组性能劣化。为保障机组的安全稳定运行,需要准确直观地反映水电机组运行并预测机组未来劣化状况,为机组状态检修提供重要依据。提出了一种基于融合劣化指标和... 水电机组长期运行在恶劣环境下,异常振动更加频繁,逐渐出现疲劳、磨损,导致机组性能劣化。为保障机组的安全稳定运行,需要准确直观地反映水电机组运行并预测机组未来劣化状况,为机组状态检修提供重要依据。提出了一种基于融合劣化指标和VMD-Informer的机组劣化趋势预测方法。首先构建KAN健康模型拟合工况参数与振摆值之间的映射关系,然后通过对比模型输出值与实测振摆值在不同指标下的差异得到多个劣化序列,运用遗传算法对多个劣化序列进行寻优获取融合劣化指标,兼顾多个指标的优势,更为准确地反映机组劣化趋势。之后用变分模态分解(VMD)将融合劣化序列分解为多个分量,最后利用Informer预测模型对分解后的各个分量进行多步预测并重构得到最终的预测结果,从而实现对机组运行状况的准确评估和预测。实例分析表明,所提方法能够生成可靠的劣化趋势,同时在预测上能学习劣化趋势序列的长期趋势和局部特征,预测精度更高。 展开更多
关键词 水电机组 劣化评估 退化预测 Kolmogorov-Arnold Network 遗传算法 informER
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基于RF-Informer模型的月径流遥相关预报
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作者 李继清 谢宇韬 +1 位作者 徐学军 吴亮 《水资源保护》 北大核心 2025年第3期39-45,共7页
为延长中长期径流预报的预见期,提高预报精度,从物理成因上考虑径流的影响因素,在前期降水径流的基础上增加遥相关因子,通过随机森林(RF)模型进行因子选择,引入长时间序列预报中表现良好的Informer模型,构建了月径流预报的RF-Informer模... 为延长中长期径流预报的预见期,提高预报精度,从物理成因上考虑径流的影响因素,在前期降水径流的基础上增加遥相关因子,通过随机森林(RF)模型进行因子选择,引入长时间序列预报中表现良好的Informer模型,构建了月径流预报的RF-Informer模型,并利用该模型对雅砻江流域两河口、锦西、二滩3个水库的入库月径流进行了预报。结果表明:将遥相关因子引入流域月径流预报可以延长预见期,提高预报精度;相较于线性相关法,基于RF模型选择预报因子可以挖掘因子间非线性关系,提升预报效果;与RF-LSTM、RF-SVM、RF-BP神经网络模型相比,RF-Informer模型的误差最小,预报精度最高。 展开更多
关键词 月径流预报 遥相关因子 随机森林模型 informer模型 雅砻江流域
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基于Informer模型的航班延误预测
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作者 杨新湦 游超 朱承元 《科学技术与工程》 北大核心 2025年第19期8282-8288,共7页
为能更加精准预测不同时段的航班延误态势,选用美国亚特兰大机场2023年全年的运行数据与相关气象数据进行实验,提出基于相关系分析(correlation analysis,CA),主成分分析(principal components analysis,PCA)和Informer模型的CA-PCA-Inf... 为能更加精准预测不同时段的航班延误态势,选用美国亚特兰大机场2023年全年的运行数据与相关气象数据进行实验,提出基于相关系分析(correlation analysis,CA),主成分分析(principal components analysis,PCA)和Informer模型的CA-PCA-Informer航班延误预测模型,采用MAE(mean absolute error)和RMSE(root mean square error)作为模型的评价指标进行预测误差分析。结果表明,CA-PCA-Informer模型比简单的组合模型预测效果更好,与CA-PCA-LSTM和CA-PCA-GRU模型相比模型误差最低,MAE和RMSE分别降低了20.2%~20.7%和12.7%~14.1%;CA-PCA-Informer模型对预测步长为1 h时预测更为精准,该模型可以为决策者提供更加准确的航班延误态势以保证航班的高效运行。 展开更多
关键词 民航交通运输 航班延误预测 informer模型 主成分分析 神经网络
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融合改进Informer与迁移学习的风电功率预测
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作者 郭利进 孙淼 衡安阳 《太阳能学报》 北大核心 2025年第7期371-377,共7页
为克服风电功率序列的不稳定性导致预测精度低以及一些风电场历史数据有限的问题,提出一种特征交互Informer与迁移学习(FIITL)的风电功率预测模型。首先提出特征交互(FI)机制用双通道输入进一步提取信息,并将迁移学习(TL)引入到预测模型... 为克服风电功率序列的不稳定性导致预测精度低以及一些风电场历史数据有限的问题,提出一种特征交互Informer与迁移学习(FIITL)的风电功率预测模型。首先提出特征交互(FI)机制用双通道输入进一步提取信息,并将迁移学习(TL)引入到预测模型中,提出循环微调迁移学习,将模型从源监测站迁移到目标站,实现在有限历史数据情况下预测性能的提升。最后,通过与传统Informer模型及其他基线预测方法比较,FIITL模型展现了在有限数据情况下的性能优势。 展开更多
关键词 迁移学习 风电功率 预测 informER 特征交互
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LSTM与Informer融合预测冠层区域温度
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作者 黄铝文 刘宇航 +1 位作者 屈昆仪 朱玉颖 《农业工程学报》 北大核心 2025年第8期222-232,共11页
针对传统温度预测方法难以充分捕捉多尺度信息,导致模型预测性能不佳等问题,该研究提出了一种基于Informer架构和长短时记忆网络(long short-term memory,LSTM)与多源数据融合的冠层区域温度预测模型。在编码层中,采用稀疏注意力机制提... 针对传统温度预测方法难以充分捕捉多尺度信息,导致模型预测性能不佳等问题,该研究提出了一种基于Informer架构和长短时记忆网络(long short-term memory,LSTM)与多源数据融合的冠层区域温度预测模型。在编码层中,采用稀疏注意力机制提取输入因子的多尺度信息及其与长时序数据之间的耦合关系;在解码层中,利用LSTM提取短期时序依赖,以增强时间序列的连贯性,同时引入改进的反向残差前馈网络(improved residual feedforward network,IRFFN)以优化模型结构。首先采用孤立森林法对数据进行异常值清理,并进行了归一化处理;然后使用斯皮尔曼相关系数法对冠层区域温度进行相关性分析,并选择相关程度较高的环境因子作为模型的输入特征;最终通过网格搜索法对超参数进行优化,并通过迭代训练实现模型的最优配置。通过与其他4种主流算法进行对比分析,提出的InformerLSTM在冠层区域温度预测方面表现出更高的精度,其平均绝对误差(mean absolute error,MAE)、均方根误差(root mean square error,RMSE)和决定系数(R^(2))分别达到了0.166、0.224℃和0.978,与基础模型Informer相比,冠层区域温度的均方根误差降低了0.448℃。该模型在时间序列预测方面具有较高的精度,为区域气象温度的中短期精准预测提供了一种新的技术方法。 展开更多
关键词 冠层 温度 非线性时间序列 长短期记忆神经网络 informER
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基于DWT-CNN-Informer模型的液压支架压力多步长预测
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作者 张传伟 张刚强 +1 位作者 路正雄 李林岳 《中国安全生产科学技术》 北大核心 2025年第4期57-63,共7页
为了实现液压支架压力多步长精准预测,提出1种基于DWT-CNN-Informer模型的压力多步长预测方法,该方法利用离散小波变换(discrete wavelet transform, DWT)将预处理后的压力时序数据分解为趋势项和周期项频率分量;各频率分量输入卷积神... 为了实现液压支架压力多步长精准预测,提出1种基于DWT-CNN-Informer模型的压力多步长预测方法,该方法利用离散小波变换(discrete wavelet transform, DWT)将预处理后的压力时序数据分解为趋势项和周期项频率分量;各频率分量输入卷积神经网络(CNN)模型提取频率特征;提取的频率特征输入Informer编码器,经位置编码和多头概率稀疏自注意力机制捕捉时序变化特征,并结合自注意力蒸馏减少特征冗余;将Informer解码器改为全连接层,直接输出各分量多步长预测结果;重构叠加各分量多步长预测结果得到液压支架压力多步长预测结果。研究结果表明:在预测步长分别为6,12,24时,DWT-CNN-Informer模型相比LSTM、Informer、CNN-Informer模型在平均绝对误差(MAE)、均方根误差(RMSE)、对称平均绝对百分比误差(SMAPE)指标上均表现出更高预测精度。研究结果为液压支架压力精准预测提供有效方法。 展开更多
关键词 液压支架压力 多步长预测 离散小波变换 CNN模型 informer模型
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改进Informed RRT^(*)算法移动机器人路径规划
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作者 鲁宇明 周羽逵 +2 位作者 郭鑫 池吕庭 戴骏 《计算机工程与应用》 北大核心 2025年第8期283-293,共11页
Informed RRT^(*)算法对初始解不敏感,规划出的路径太接近障碍物,导致路径不平滑。提出一种改进的Informed RRT^(*)路径规划算法,该算法改进了约束采样空间和引导策略。在采样初期,将采样区域限制在一个圆形区域,加快初始解收敛,在算法... Informed RRT^(*)算法对初始解不敏感,规划出的路径太接近障碍物,导致路径不平滑。提出一种改进的Informed RRT^(*)路径规划算法,该算法改进了约束采样空间和引导策略。在采样初期,将采样区域限制在一个圆形区域,加快初始解收敛,在算法规划的过程中引入人工势场中引力场和斥力场的思想,使机器人与障碍物保持安全距离,并向目标位置行进。对Informed RRT^(*)算法和基于目标偏置的Informed RRT^(*)算法(Goal-bias-Informed RRT^(*))以及改进后的Informed RRT^(*)算法进行比较实验,实验结果验证了改进后Informed RRT^(*)算法的有效性和优越性及稳定性。该算法较Informed RRT^(*)算法和Goal-bias-Informed RRT^(*)效率更高、更容易得到初始解、更安全、更平滑、更稳定。 展开更多
关键词 移动机器人 路径规划 随机采样 informed RRT^(*)算法 目标偏置 约束采样空间
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Journal of Transportation Systems Engineering and Information Technology Subject Index 被引量:3
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《交通运输系统工程与信息》 EI CSCD 2007年第6期129-135,共7页
关键词 Journal of Transportation Systems Engineering and information technology Subject Index MODE
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A guidance and control design with reduced information for a dual-spin stabilized projectile 被引量:2
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作者 Yu Wang Jiyan Yu +1 位作者 Xiaoming Wang Jia Fangxiu 《Defence Technology(防务技术)》 SCIE EI CAS CSCD 2024年第3期494-505,共12页
In this paper,an integrated guidance and control method based on an adaptive path-following controller is proposed to control a spin-stabilized projectile with only translational motion information under the constrain... In this paper,an integrated guidance and control method based on an adaptive path-following controller is proposed to control a spin-stabilized projectile with only translational motion information under the constraint of an actuator,uncertainties in aerodynamic parameters and measurements,and control system complexity.Owing to the fairly high rotation speed,the dynamic model of this missile is strongly nonlinear,uncertain and coupled in pitch,yaw and roll channels.A theoretical equivalent resultant force and uncertainty compensation method are comprehensively used to realize decoupling of pitch and yaw.In response to the strong nonlinear and time-varying characteristics of the dynamic system,the quasi-linear model whose parameters are obtained by interpolation of points selected as the segmentation points in the trajectory envelope,is used for calculation in each step.To cope with the system uncertainty caused by model approximation,parameter uncertainty and ballistic interference,an extended state estimator is used to compensate the output feedback according to the test ballistic angle.In order to improve the tracking efficiency and ensure the tracking error convergence with only translational motion information,the virtual guide point,whose derivative is deduced according to the Lyapunov principle,is calculated in real time according to the projection relationship between the real-time position and the reference trajectory,and a virtual line-of-sight angle and the backstepping method are used for the design of the guidance and control system.In order to avoid the influence of control input saturation on the guidance and control performance due to the actuator limitation and improve the robustness of the system,an anti-saturation compensator is designed according to the two-step method.The feasibility and effectiveness of the path-following controller is verified through closed-loop flight simulations with measurement,control,and condition uncertainties.The results indicate that the designed controller can converge to the reference path and evidently decrease the distance between the impact point and target under different uncertainties. 展开更多
关键词 Spin-stabilized projectile Reduced information Path-following control Extended state observer Coupled nonlinear system Input saturation
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Forecasting promising technology using analysis of patent information:Focused on next generation mobile communications 被引量:9
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作者 CHOI Seung-Wook YOU Yen-Yoo NA Kwan-Sik 《Journal of Central South University》 SCIE EI CAS 2014年第11期4303-4310,共8页
In order to forecast promising technologies in the field of next generation mobile communication, various patent indicators were analyzed such as citation per patent, patent family information, patent share, increase ... In order to forecast promising technologies in the field of next generation mobile communication, various patent indicators were analyzed such as citation per patent, patent family information, patent share, increase rate, and patent activity. These indicators were quantified into several indexes and then integrated into an evaluation score to provide promising technologies. As a result of the suggested patent analysis, four technologies out of twenty two in details classification were selected, which showed outstanding technology competitiveness, high patent share and increasing rates as well as high recent-patent-ratios and triad-patent-family-ratios. Each of the selected technologies scored more than 10 points in total, and the following four technologies were suggested as promising ones in the field of next generation mobile communication: 1) 3GPP based mobile communication, 2) beyond 4G mobile communication, 3) IEEE 802.16 based mobile communication, which are in medium classification of broadband mobile communication system, and 4) testing/certification system of mobile communication, which is in medium classification of mobile communication testing/certification system. 展开更多
关键词 next generation mobile communication promising technology forecasting patent information patent analysis patent indicators
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Review of space information technology 被引量:1
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作者 Zhong Shan Hou Pingmei 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2006年第2期237-244,共8页
The features of information technology (IT) are discussed first. On this basis, the features of space information technology (SIT) are presented and SIT is elaborated in five categories. The popularization of SIT ... The features of information technology (IT) are discussed first. On this basis, the features of space information technology (SIT) are presented and SIT is elaborated in five categories. The popularization of SIT is an informatization process and will promote the industrialization of national economy and the modernization of industry such as agriculture. The necessity of the synthetical application of SIT is studied emphatically, and the development trend of SIT is discussed. 展开更多
关键词 space information technology SYNTHESIS MINIATURIZATION integration.
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Coupling effect on the thermal hazard assessment of hazardous chemical materials via calorimetric technologies and simulation approaches 被引量:1
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作者 Yabei Xu Jiankun Shao +2 位作者 Wei Wang Shengliang Xu Dongping Chen 《Defence Technology(防务技术)》 SCIE EI CAS CSCD 2024年第2期644-654,共11页
The coupling effect of heat absorption and release exists in the thermal decomposition of a few chemical materials.However,the impact of the above coupling on thermal hazard assessment is not considered in the literat... The coupling effect of heat absorption and release exists in the thermal decomposition of a few chemical materials.However,the impact of the above coupling on thermal hazard assessment is not considered in the literature studies.In this work,nitroguanidine(NQ)and 1,3,5-trinitro-1,3,5-triazine(RDX)are selected as representative materials to explore the influence of the coupling effect on the thermal hazard assessment of chemical materials.The linear heating experiments of NQ and RDX are carried out by a microcalorimeter and synchronous thermal analyser.The thermal decomposition curves are decoupled by advanced thermokinetics software.The thermal decomposition and kinetic parameters before and after decoupling are calculated.The results of TG experiment show that both NQ and RDX began to lose mass during the endothermic stage.The endothermic melting and exothermic decomposition of NQ and RDX are coupled within this stage.The coupling effect has different degrees of influence on its initial decomposition temperature and safety parameters.Compared with the parameters in the coupling state,the initial decomposition temperature and adiabatic induction period after decoupling decrease.The self-accelerating decomposition temperature increases,and internal thermal runaway time decreases.In the thermal hazard assessment of chemical materials with coupling effects,the calculated parameters after decoupling should be taken as an important safety index。 展开更多
关键词 Calorimetric technologies KINETICS Thermal hazard Phase transformation Thermal decomposition
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Research on information technology of state monitoring and fault prediction for mechatronics system 被引量:1
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作者 Xu Xiaoli Zuo Yunbo +2 位作者 Meng Lingxia Zhao Xiwei Liu Xiuli 《仪器仪表学报》 EI CAS CSCD 北大核心 2016年第S1期139-145,共7页
The safety and reliability of mechatronics systems,particularly the high-end,large and key mechatronics equipment in service,can strongly influence on production efficiency,personnel safety,resources and environment.B... The safety and reliability of mechatronics systems,particularly the high-end,large and key mechatronics equipment in service,can strongly influence on production efficiency,personnel safety,resources and environment.Based on the demands of development of modern industries and technologies such as international industry 4.0,Made-in-China 2025 and Internet + and so on,this paper started from revealing the regularity of evolution of running state of equipment and the methods of signal processing of low signal noise ratio,proposed the key information technology of state monitoring and earlyfault-warning for equipment,put forward the typical technical line and major technical content,introduced the application of the technology to realize modern predictive maintenance of equipment and introduced the development of relevant safety monitoring instruments.The technology will play an important role in ensuring the safety of equipment in service,preventing accidents and realizing scientific maintenance. 展开更多
关键词 mechatronics system information technology state monitoring fault prediction
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Heterogeneous information fusion recognition method based on belief rule structure 被引量:1
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作者 WANG Haibin GUAN Xin +1 位作者 YI Xiao SUN Guidong 《Journal of Systems Engineering and Electronics》 SCIE CSCD 2024年第4期955-964,共10页
To solve the problem that the existing situation awareness research focuses on multi-sensor data fusion,but the expert knowledge is not fully utilized,a heterogeneous informa-tion fusion recognition method based on be... To solve the problem that the existing situation awareness research focuses on multi-sensor data fusion,but the expert knowledge is not fully utilized,a heterogeneous informa-tion fusion recognition method based on belief rule structure is proposed.By defining the continuous probabilistic hesitation fuzzy linguistic term sets(CPHFLTS)and establishing CPHFLTS distance measure,the belief rule base of the relationship between feature space and category space is constructed through information integration,and the evidence reasoning of the input samples is carried out.The experimental results show that the proposed method can make full use of sensor data and expert knowledge for recognition.Compared with the other methods,the proposed method has a higher correct recognition rate under different noise levels. 展开更多
关键词 belief rule heterogeneous information intention recognition hesitation fuzzy linguistic
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基于EKF-HInformer模型估计汽车动力电池的SOC&SOH 被引量:1
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作者 彭自然 杨肖阳 肖伸平 《电子测量与仪器学报》 北大核心 2025年第3期21-33,共13页
针对传统模型荷电状态(SOC)和健康状态(SOH)估计精度低、鲁棒性差的问题,提出一种基于扩展卡尔曼滤波(EKF)和深度学习模型Informer改进优化的估计模型EKF-HInformer,实现电动汽车动力电池SOC与SOH的实时精准估计。首先,运用EKF算法归一... 针对传统模型荷电状态(SOC)和健康状态(SOH)估计精度低、鲁棒性差的问题,提出一种基于扩展卡尔曼滤波(EKF)和深度学习模型Informer改进优化的估计模型EKF-HInformer,实现电动汽车动力电池SOC与SOH的实时精准估计。首先,运用EKF算法归一化整理电池实时数据,并通过调整自适应增益因子减少噪声波动,提高EKF数据滤波处理的性能。然后,运用Informer网络模型对归一化后的电池数据进行智能估计。为减少Informer模型离群点或异常值所导致的注意力权重偏差问题,采用Hampel算法对Informer进行优化,提高多头概率稀疏自注意力机制特征学习的能力。最后,把滤波整理后的数据输入到HInformer网络中估算实时的SOC和SOH。采用牛津大学与马里兰大学的电池数据集进行实验验证,结果显示SOC与SOH估计精度均超99.5%,均方根误差(RMSE)小于1%,最大绝对误差(MAXE)小于0.5%。相比传统Informer、Transformer和长短期记忆(LSTM)模型,该模型估计SOC和SOH的速度更快、准确度更高,展现出优越的鲁棒性和泛化能力。 展开更多
关键词 动力电池 荷电状态 健康状态 自适应增益因子 扩展卡尔曼滤波 Hampel优化算法 informER
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基于ICEEMDAN-PE和IDBO-Informer组合模型的短期负荷预测
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作者 于多 曹燚 +2 位作者 王海荣 赵翱东 曹倩 《中国电力》 北大核心 2025年第6期19-32,共14页
针对传统方法在处理复杂负荷数据时存在的噪声处理不足、特征提取能力有限及模型训练复杂等问题,提出了一种基于改进完全集合经验模态分解(improved complete ensemble empirical mode decomposition with adaptive noise,ICEEMDAN)-置... 针对传统方法在处理复杂负荷数据时存在的噪声处理不足、特征提取能力有限及模型训练复杂等问题,提出了一种基于改进完全集合经验模态分解(improved complete ensemble empirical mode decomposition with adaptive noise,ICEEMDAN)-置换熵(permutation entropy,PE)和改进蜣螂优化算法(improved dung beetle optimizer,IDBO)-Informer的创新组合预测模型。首先,该模型通过小波软阈值去噪算法预处理原始负荷数据,减少噪声干扰。其次,利用ICEEMDAN多尺度分解负荷数据,精准捕捉负荷特征,并采用置换熵评估分量复杂度。最后,对蜣螂优化算法进行改进,通过融合混沌与逆向学习策略进行种群初始化,引入自适应步长与凸透镜逆成像策略及随机差异变异策略,优化Informer预测模型参数,显著提升预测效率与准确性。实验结果表明,该模型在短期负荷预测中表现出色,平均绝对误差为81.3 MW(原始负荷数据范围约为500 MW至1 500 MW),均方根误差为109.2 MW,拟合系数评分为0.991,远优于传统方法,充分验证了模型的创新性和优越性。 展开更多
关键词 负荷预测 ICEEMDAN 改进蜣螂优化算法 informER
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基于改进Informed RRT^(*)算法的大棚采摘机械臂路径规划
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作者 郑泽斌 郑书河 +2 位作者 翁武雄 林添良 郭雷 《福建农林大学学报(自然科学版)》 北大核心 2025年第2期279-288,共10页
【目的】提出一种机械臂路径规划算法,以解决多自由度机械臂在大棚采摘作业中路径规划速度慢、路径成本高等问题,为采摘机械臂高效作业提供依据。【方法】基于Informed RRT^(*)机械臂路径规划算法,引入自适应目标偏置策略,结合贪婪思想... 【目的】提出一种机械臂路径规划算法,以解决多自由度机械臂在大棚采摘作业中路径规划速度慢、路径成本高等问题,为采摘机械臂高效作业提供依据。【方法】基于Informed RRT^(*)机械臂路径规划算法,引入自适应目标偏置策略,结合贪婪思想的双向非优化路径搜索方式,增加动态概率节点拒绝策略。提出一种动态拒绝的知情RRT^(*)贪婪连接算法(dynamic rejection informed RRT^(*) greedy connect algorithm, DR-IRRT^(*)-GC),并通过Matlab多障碍物场景、ROS(机器人操作系统,robot operating system)机械臂场景的仿真对比试验进行验证。【结果】DR-IRRT^(*)-GC算法在路径规划的过程中具有运行速度快、路径成本低、路径规划成功率高等优势。与Informed RRT^(*)算法相比,DR-IRRT^(*)-GC算法在首次路径搜索用时上缩短了97.36%,路径规划成功率提高了283.33%。【结论】DR-IRRT^(*)-GC算法具有较强的实用性。 展开更多
关键词 采摘机械臂 路径规划 改进informed RRT^(*)算法 贪婪思想 动态概率
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A framework of force of information influence and application for C4KISR system
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作者 MAO Shaojie DIAO Lianwang +6 位作者 SUN Yu WANG Heng YI Kan XU Xin MAO Xiaobin ZHANG Kecheng SHENG Long 《Journal of Systems Engineering and Electronics》 SCIE CSCD 2024年第2期430-443,共14页
The subversive nature of information war lies not only in the information itself, but also in the circulation and application of information. It has always been a challenge to quantitatively analyze the function and e... The subversive nature of information war lies not only in the information itself, but also in the circulation and application of information. It has always been a challenge to quantitatively analyze the function and effect of information flow through command, control, communications, computer, kill, intelligence,surveillance, reconnaissance (C4KISR) system. In this work, we propose a framework of force of information influence and the methods for calculating the force of information influence between C4KISR nodes of sensing, intelligence processing,decision making and fire attack. Specifically, the basic concept of force of information influence between nodes in C4KISR system is formally proposed and its mathematical definition is provided. Then, based on the information entropy theory, the model of force of information influence between C4KISR system nodes is constructed. Finally, the simulation experiments have been performed under an air defense and attack scenario. The experimental results show that, with the proposed force of information influence framework, we can effectively evaluate the contribution of information circulation through different C4KISR system nodes to the corresponding tasks. Our framework of force of information influence can also serve as an effective tool for the design and dynamic reconfiguration of C4KISR system architecture. 展开更多
关键词 information warfare command control communications computer KILL intelligence surveillance reconnaissance(C4KISR)system information circulation force of information influence information entropy
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基于图神经网络与Informer融合的主动配电网状态估计
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作者 郝蛟 王冬 +1 位作者 邱剑 郭创新 《电力自动化设备》 北大核心 2025年第8期12-19,共8页
含分布式光伏的主动配电网具有较高的新能源渗透率和动态负荷特征,传统状态估计方法在应对复杂动态行为和数据质量问题时存在局限,影响配电网调度优化与安全性。提出一种基于图神经网络(GNN)与Informer模型融合的含光伏主动配电网状态... 含分布式光伏的主动配电网具有较高的新能源渗透率和动态负荷特征,传统状态估计方法在应对复杂动态行为和数据质量问题时存在局限,影响配电网调度优化与安全性。提出一种基于图神经网络(GNN)与Informer模型融合的含光伏主动配电网状态估计方法。借助GNN构建量测模型,有效捕捉配电网拓扑结构的空间依赖特性;利用Informer的长时间序列预测能力,构建状态预测模型,精准地刻画配电网的动态物理特性。所提模型不仅能够处理量测数据中的缺失和噪声问题,而且能够增强状态估计的鲁棒性和物理一致性。基于IEEE 33节点系统及某实际配电网的仿真结果表明,所提方法在状态估计的准确性、抗干扰能力、物理一致性和计算效率方面均有显著提升。 展开更多
关键词 主动配电网 分布式光伏 状态估计 分布式新能源 图神经网络 informER
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