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多智能体一阶二阶一致性 matlab 仿真

于 2021-03-18 发布

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下载积分: 1 下载次数: 10

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说明：多智能体一阶二阶一致性 matlab 仿真,对编队的控制实现(Matlab simulation of multi-agent first-order and second-order consistency is used to realize the formation control)

文件列表：

说明.txt, 181 , 2019-06-10
多智能体一阶二阶一致性 matlab 仿真, 0 , 2019-03-12
多智能体一阶二阶一致性 matlab 仿真\WechatIMG2.jpeg, 110229 , 2018-07-29
__MACOSX, 0 , 2019-03-12
__MACOSX\多智能体一阶二阶一致性 matlab 仿真, 0 , 2019-03-12
__MACOSX\多智能体一阶二阶一致性 matlab 仿真\._WechatIMG2.jpeg, 266 , 2018-07-29
多智能体一阶二阶一致性 matlab 仿真\.DS_Store, 6148 , 2019-03-12
__MACOSX\多智能体一阶二阶一致性 matlab 仿真\._.DS_Store, 120 , 2019-03-12
多智能体一阶二阶一致性 matlab 仿真\固定系统一致性.zip, 11621 , 2019-03-12
__MACOSX\多智能体一阶二阶一致性 matlab 仿真\._固定系统一致性.zip, 753 , 2019-03-12

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jianmoruanjianjieshao
整理了MATLAB、lingo、lindo的经典运用，使得新手能够更好的入门学习。(Compiled MATLAB, lingo, lindo classic use, so novices can learn a better entry.)

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2015-02-04 11:23:01下载

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自回归模型得到的谱与yulear法、burg法、协方差法、改进协方差法等方法得到的谱进行对比 (Autoregression model spectra obtained with yulear method, burg method, covariance method, modified covariance method and other methods to compare the obtained spectrum)

2015-03-03 22:13:59下载

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Non-linear control system application

2011-12-28 21:59:02下载

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极力推荐，PKU-Matlab课程的学习的PPT，很适合初学者。(Highly recommended, PKU-Matlab courses of study on the PPT, it is suitable for beginners.)

2012-01-06 20:11:13下载

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1)football.m简单地以阵列形式显示一副图； 2）pre.m是心音信号过滤归一化预处理的过程； 3）wavlet.m是用db6小波进行信号的分解和重构，且求包络能量函数； 4）path.m是利用KKT条件的路径跟踪法，用于求解二次规划问题； 5）LRmmse是MIMO通信中常用检测方法，结合了最小均方误差准则和格基规约的知识。(1) football.m simply displays a graph in an array 2) pre.m is the process of normalized preprocessing of heart sound signal filtering 3) wavlet.m is a db6 wavelet for signal decomposition and reconstruction, and to find the envelope energy function 4) path.m is the path tracking method using KKT condition, which is used to solve the quadratic programming problem. 5) LRmmse is a commonly used detection method in MIMO communication, combining the knowledge of minimum mean square error criterion and lattice protocol.)

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说明：多用户检测算法的比较，包括解相关、MMSE、SIC、PIC(Comparison of multi-user detection algorithms, including solution correlation, MMSE, SIC, PIC)

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Signal_System Lab_5

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