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统的联合概率数据关联算法(IPDA)是在密集杂波环境下的一种良好的多目标跟踪算法， 但它是针对单传感嚣对多目标跟踪的情况下使用，不能直接用于多传感器对多目标的跟踪。针对这 一问题，文中提出了一种适用于多传感器多目标跟踪的JPDA算法，它以极大似然估计完成对来自 多传感器的测量集合进行同源最优分划，然后采用JPDA方法对多目标进行跟踪。经过理论分析和 仿真试验，证明了该方法能有效地进行多传感器多目标的跟踪，且具有算法简单、跟踪精度高、附 加的计算量小等优点。(Abstract)m JointProbabilisticDataAssociation(JPDA)solves single sensormultitatgcttrackingin ClUtter,butitc锄not bc used directly in mnitisensor multitarget tracking．喇8 paper presents a method to implement multi—sensor multi—target tracking by combining maximum likelihood estimation wim JPDA The maximum Iikelihood estimation is used to classify the same source observations at one time into the same set,and血en JPDA implements multi—target uacking after the position fitsed．The theory analysis and computer simulation show that this algorithm may achieve multi—sensor multi—target tracking perfectly with low calculation load added and higher precision 。)

说明：   已知某控制系统结构图如下所示,要求设计校正环节G(s),使系统对于阶跃输入的稳态误差为零。使系统校正后的相角裕量γ≥45°，幅值裕量kg≥10db。(Known structure of a control system as shown below, links to design correction G (s), allowing the system to step input for the steady-state error to zero. The system after correction phase margin γ ≥ 45 °, the amplitude margin kg ≥ 10db.)

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本资源是关于matlab编程技巧的介绍，可以作为教材的辅助资料，提高编程水平。(This resource is introduced on the matlab programming techniques can be used as supplementary teaching materials to improve the level of programming.)

采用彩色图像进行路径的识别，它是实现自动驾驶的关键技术(The use of color images to identify the path, it is the realization of the key technologies autopilot)

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加你如何快速的熟悉和掌握matlab语言，以及在矩阵运算和数据分析方面的应用(Plus you how to quickly become familiar with and master the matlab language, as well as matrix operations and data analysis applications)

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s变换和广义s变换( s transformation and generalized s transformation)