资源列表
chap
- 基于局部逼近的自适应RBF控制，主要包括基于局部模型逼近的自适应RBF机械手控制。-Adaptive RBF control based on the local approach, including adaptive RBF manipulator control model based on the local approach.
6
- 基于模型整体逼近的自适应RBF控制，包括基于HJI理论和RBF神经网络的鲁棒控制-Adaptive RBF control based on the approximation of the model, including the robust HJI control theory and based on RBF neural network
chap5
- 基于神经网络的滑模控制，包括神经网络的最小参数学习法的自适应滑模控制和二阶系统的滑模控制。-Sliding mode control based on neural network sliding mode adaptive sliding mode control, including the minimum parameters of neural network learning method and two order control system.
chap4
- 自适应RBF神经网络控制，包括神经网络逼近的自适应控制和参数未知的自适应控制。-Adaptive RBF neural network control, adaptive control and adaptive control of unknown parameters including the neural network approximation.
face
- 通过定位人眼进行人脸切割，该算法进行了修正，同时还具备人脸校正功能，可进行测试照片的旋转和平移。-By positioning the human eye human face cut, the algorithm is modified, also has a face correction function can be tested in photo rotation and translation.
4
- 实现驾驶员模型的模块化，进行集成控制，减小侧偏角度-Realize the driver model of modularization, integration control, reduce the lateral deflection Angle
3
- 两种驾驶员模型进行对比分析，最终验证本驾驶员模型的优势-Comparing the two pilot model, finally verify the driver model
2
- 驾驶员模型数据处理，论文第二章仿真程序，发表sci-Pilot model data processing, paper chapter ii simulation program, published sci
1
- 双移线仿真，车辆稳定性控制跟踪曲率,工程应用-Double line simulation and vehicle stability control track curvature
mohu
- 车道保持，模糊控制，精确的跟踪轨迹，工程使用-Lane keeping, fuzzy control, precise tracking trajectory, engineering use
Fault-diagnosis-system-
- 故障诊断方面的。在电力传输线上的。讲解详细，逻辑性强，有利于仿真创新-Fault diagnostics. In the power transmission line. Explain in detail, logical, beneficial simulation innovation
BP
- 自己写的BP神经网络程序，可用于语音识别-Write your own BP neural network program, can be used for voice recognition