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Two-self-balancing-fuzzy-control

于 2020-06-29 发布文件大小:777KB

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两轮自平衡模糊控制论文 matlab程序+simulink仿真(Two self-balancing fuzzy control thesis matlab simulation program+simulink)

文件列表：

1401089-李海亮-两轮自平衡机器人模糊PD控制设计及仿真.doc,607824,2014-11-30
两轮自平衡机器人模糊PD控制与仿真.ppt,468480,2014-11-30
仿真程序
........\cool.fis,1594,2014-11-27
........\mingling.m,2121,2014-11-30
........\pianzhuan.slx,17825,2014-11-30
........\pingheng.slx,17870,2014-11-30

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Overview The Simulink model shows an example how the Kalman Filter can be implemented in Simulink. The model itself is configured with a Gaussian process connected with a Kalman Filter. To directly use this model, one only needs to provide model prarameters including parameters of the Gaussian process, which are state space matrices, A, B, C, and D, initial state, x0, and covariance matrices, Q and R and similar parameters for the Kalman Filter, which can be in different values to mimic the model mismatch, plus the state covariance, P. The following examples show how this model can be used. The Kalman Filter can also be used as a standard model block to be connected with any other systems

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its a list of projects in information theory and coding using matlab.

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Two-self-balancing-fuzzy-control

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