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invertedpendulum
- 倒立摆是一种复杂、时变、非线性、强耦合、自然不稳定的高阶系统，许多抽象的控制理论概念都可以通过倒立摆实验直观的表现出来。基于人工神经网络BP算法的倒立摆小车实验仿真训练模型，其倒立摆BP网络为4输入3层结构。输入层分别为小车的位移和速度、摆杆偏离铅垂线的角度和角速度。隐含层单元数16个。输出层设置为1个输出单元。输入层采用Tansig函数，隐含层采用Logsig函数，输出层采用Purelin函数。用Matlab 6.5数值计算软件对模型进行学习训练，并与线性反馈控制逻辑算法对比，表明倒立摆控制B
c1
- 计算柱状体对垂直入射的平面波的散射C1.for (a) efficiencies (ext.,sca.,abs.) vs size parameter (b) intensity at a scattering angle vs size parameter (c) angular scattering over a plane -C1.for (a) efficiencies (ext.,sca.,abs.) vs size parameter
Antilock-brake-system
- As it is mentioned the control of a robot arm using AFC can be considerably improved if a method is found to provide good estimates of the inertia matrix of the arm. Therefore, AFCAFL scheme which exploits the use of fuzzy logic as the inertial
feature.dr
- 【无人驾驶传感器之64线激光雷达】 velodyne hdl64es2 64线激光雷达点云数据处理之雷达返回值与转角关系-[64 line laser radar sensor of the unmanned] velodyne hdl64es2 64 lines lidar point cloud radar data processing of the return value and the angular relationship
snmfn
- FMCW调频连续波雷达的测距测角，STM32制作的MP3的全部资料，包括四元数的各种计算。- FMCW frequency modulated continuous wave radar range and angular measurements, STM32 all the information produced by the MP3, Including quaternion various calculations.
7575
- MIMO OFDM matlab仿真,汽车课设货车Matlab驱动力图程序，FMCW调频连续波雷达的测距测角。- MIMO OFDM matlab simulation, Car class-based truck driver trying to Matlab program, FMCW frequency modulated continuous wave radar range and angular measurements.
teifao-V2.5
- FMCW调频连续波雷达的测距测角，有信道编码，调制，信道估计等，通过反复训练模板能有较高的识别率。- FMCW frequency modulated continuous wave radar range and angular measurements, Channel coding, modulation, channel estimation, Through repeated training yjWkAFulate have higher recognition rate.
pijka
- FMCW frequency modulated continuous wave radar range and angular measurements, Continuous phase modulation signal (CPM) to produce, Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition.
7788
- FMCW frequency modulated continuous wave radar range and angular measurements, Is a good learning materials to learn PCA feature extraction, Some adaptive signal processing algorithms.