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A Potentially Shared Neural Basis Linking Rapid Saccades and Avoidance Initiation in the Superior Colliculus Driven by Visual Threats
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作者 Zhou Sun Yu Gu 《Neuroscience Bulletin》 2025年第6期1115-1118,共4页
Throughout the lifespan,an animal can encounter predators frequently,thus the ability to avoid attacks from predators is crucial for its survival.The chances of evading danger can be greatly improved if the animal can... Throughout the lifespan,an animal can encounter predators frequently,thus the ability to avoid attacks from predators is crucial for its survival.The chances of evading danger can be greatly improved if the animal can respond immediately to the threat.Therefore,when an animal detects a threat through its visual system,it must quickly direct its gaze and attention toward the source of danger,assess the threat level,and take appropriate action. 展开更多
关键词 avoidance initiation threat assessment gaze direction survival visual systemit visual threats superior colliculus rapid saccades
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离散非线性系统的迭代学习轨迹跟踪鲁棒算法优化及应用 被引量:7
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作者 陶洪峰 董晓齐 杨慧中 《信息与控制》 CSCD 北大核心 2016年第4期385-390,共6页
针对一类存在随机输入状态扰动、输出扰动及系统初值与给定期望值不严格一致的离散非线性重复系统,提出了一种P型开闭环鲁棒迭代学习轨迹跟踪控制算法.基于λ范数理论证明了算法的严格鲁棒稳定性,并通过多目标函数性能指标优化P型开闭... 针对一类存在随机输入状态扰动、输出扰动及系统初值与给定期望值不严格一致的离散非线性重复系统,提出了一种P型开闭环鲁棒迭代学习轨迹跟踪控制算法.基于λ范数理论证明了算法的严格鲁棒稳定性,并通过多目标函数性能指标优化P型开闭环迭代学习控制律的增益矩阵参数,保证了优化算法下系统输出期望轨迹跟踪误差的单调收敛性,达到提高学习算法收敛速度和跟踪精度的目的.最后应用于二维运动移动机器人的实例仿真,验证了本文算法的可行性和有效性. 展开更多
关键词 非线性离散系统 迭代学习控制 优化性能指标 开闭环
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基于灰色预测模型的门诊量预测——以上海市浦东新区门诊总量为例 被引量:8
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作者 孔超 《中国卫生资源》 2008年第6期267-268,277,共3页
简要介绍灰色预测模型的数学原理、建模过程及各种检验,应用灰色预测模型对上海市浦东新区门诊总量进行预测并实施检验。
关键词 系统建模 灰色模型 SAS 门诊量预测
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电动汽车用电机及其控制器测试系统研究 被引量:1
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作者 史瑞祥 《汽车电器》 2014年第5期80-81,84,共3页
对电动汽车驱动电机及其控制器试验系统的4种测试方案进行对比分析,总结出每种试验系统的优缺点,给企业搭建适合自身的试验系统提供参考。
关键词 电动汽车 驱动电机 控制器 测试系统
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10-km passive drone detection using broadband quantum compressed sensing imaging
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作者 Shuxiao Wu Jianyong Hu +14 位作者 Jiaqing Ge Yanshan Fan Zhexin Li Liu Yang Kai Song Jiazhao Tian Zhixing Qiao Guosheng Feng Xilong Liang Changgang Yang Ruiyun Chen Chengbing Qin Guofeng Zhang Liantuan Xiao Suotang Jia 《Light: Science & Applications》 2025年第9期2583-2594,共12页
Remote passive drone detection in the presence of strong background noise is challenging,since they are point objects and cannot be recognized by their contour detection.In this study,we introduce a new passive single... Remote passive drone detection in the presence of strong background noise is challenging,since they are point objects and cannot be recognized by their contour detection.In this study,we introduce a new passive single-photon dynamic imaging method using quantum compressed sensing.This method utilizes the inherent randomness of photon radiation and detection to construct a compressive imaging system.It captures the broadband dynamic features of the point object through sparse photon detection,achieving a detectable bandwidth up to 2.05 GHz,which is significantly higher than current photon-counting imaging techniques.The method also shows excellent noise resistance,achieving high-quality imaging with a signal-to-background ratio of 1/332.This technique significantly enhances the use of single-photon imaging in real-world applications. 展开更多
关键词 compressive imaging systemit contour detectionin passive drone detection quantum compressed sensingthis sparse photon detectionachieving point object broadband dynamic features
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