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MATLAB_MPC

于 2020-12-24 发布

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下载积分: 1 下载次数: 9

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代码说明：

说明：基于状态空间模型的模型预测控制，matlab平台实现。(The model predictive control based on state space model is realized by Matlab platform.)

文件列表：

MATLAB_MPC, 0 , 2019-12-14
MATLAB_MPC\MPC_YM.m, 2473 , 2019-11-21
MATLAB_MPC\mpc1.mdl, 43013 , 2019-12-14
MATLAB_MPC\mpc1.slx.unknown_version, 23034 , 2019-10-30
MATLAB_MPC\mpc1.slxc, 4988 , 2019-06-11
MATLAB_MPC\slprj, 0 , 2019-12-14
MATLAB_MPC\slprj\sim, 0 , 2019-12-14
MATLAB_MPC\slprj\sim\varcache, 0 , 2019-12-14
MATLAB_MPC\slprj\sim\varcache\mpc1, 0 , 2019-12-14
MATLAB_MPC\slprj\sim\varcache\mpc1\checksumOfCache.mat, 392 , 2019-06-11
MATLAB_MPC\slprj\sim\varcache\mpc1\tmwinternal, 0 , 2019-12-14
MATLAB_MPC\slprj\sim\varcache\mpc1\tmwinternal\simulink_cache.xml, 312 , 2019-06-11
MATLAB_MPC\slprj\sim\varcache\mpc1\varInfo.mat, 320 , 2019-06-11

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针对线性混合信号盲分离时，源信号概率密度与激活函数难以确定时（尤其是源信号中既含超高斯信号，又含亚高斯信号时），依据信号pdf的一种测度--峭度，自适应的确定激活函数，实现信号的盲分离，是一种基于峭度开关的盲分离算法。(Linear mixed-signal for blind source separation, the source signal probability density function with the activation when it is difficult to determine (especially the source of the signal with both super-Gaussian signals, but also with sub-Gaussian signal), signal pdf based on a measure-- Kurtosis, adaptive activation function of determining and achieving blind signal separation, is a switch-based kurtosis blind source separation algorithm.)

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