搜索资源列表
positive-inverse-solution
- 并联六自由度上位机vb程序，自带正解逆解程序和实时曲线显示- This is the VB program of Parallel six degrees of freedom , with the positive solution and the inverse solution procedure and real-time curve display
daodanzhidaofangzhen
- 建立导弹六自由度模型并完成制导过程3D仿真-Six degrees of freedom to build a missile-guided procedure to complete the 3D model and simulation
6dof-model
- 可以帮助大家参考建立有效的六自由度并联机器人的动力学模型-You can help your reference to establish effective six degrees of freedom parallel robot dynamics model
shipmotion
- 只讨论前进运动、横漂运动、首摇运动和横摇运动,这样就把一个六自由度的运动问题简化成一个四自由度的运动问题。-Only discuss the forward movement, horizontal movement drift, yaw motion and roll motion, so put a six degrees of freedom motion problem reduced to four degrees of freedom of movement a problem.
kuka_test2
- 实现了六自由度机械臂末端探点的多项式插值方式的轨迹规划- Polynomial interpolation method to achieve the six degrees of freedom manipulator end point of the probe trajectory planning
zhengjienijie
- 六自由度的正解和逆解程序，并在程序中给出了多种解法-Positive Solutions of six degrees of freedom and inverse solution procedures, and multiple solutions are given in the program
wm
- 水面无人艇(Unmanned Surface Vehicle)的航迹控制对提升无人艇艇载设备 侦察观测效果以及多任务作战能力具有十分ffi要的意义。由于受到风、浪、流等 干扰环境影响,水而无人艇将产生六自由度的操纵运动,具有很强的非线性和随 机性。这将致使无人艇的航向航迹及姿态控制具有一定的难度,因此需要对水面 无人艇建立六自由度操纵模型,更好地实现对无人艇的控制。 采用经典的MMG分离建模思想,依托浜本刚实提出的水平附体坐标系,建 立
Inverse_Solution
- 利用matlab的gui编写的六自由度机器人逆运动学解，采用的Newton迭代计算得到机器人的一组逆解-Using GUI matlab prepared by the six degrees of freedom robot inverse kinematics solution, using the Newton iterative calculation of a set of robot inverse solution
huntun_v19
- 实现六自由度运动学逆解算法，关于小波的matlab复合分析，Gabor小波变换与PCA的人脸识别代码。- Six degrees of freedom to achieve inverse kinematics algorithm, Matlab wavelet analysis on complex, Gabor wavelet transform and PCA face recognition code.
buimui
- 关于超声波倒车雷达测距的，关于神经网络控制，实现六自由度运动学逆解算法。- About ultrasonic parking radar ranging, On neural network control, Six degrees of freedom to achieve inverse kinematics algorithm.
maohen_v15
- 本科毕设要求参见标准测试模型，实现六自由度运动学逆解算法，基于互功率谱的时延估计。- Undergraduate complete set requirements refer to the standard test models, Six degrees of freedom to achieve inverse kinematics algorithm, Based on the time delay estimation of power spectrum.
muifun_v19
- matlab程序运行时导入数据文件作为输入参数，实现六自由度运动学逆解算法，在matlab R2009b调试通过。- Import data files as input parameters matlab program is running, Six degrees of freedom to achieve inverse kinematics algorithm, In matlab R2009b debugging through.
nangtan_V7.1
- 是小学期课程设计的题目，基于chebyshev的水声信号分析，实现六自由度运动学逆解算法。- Is the topic of the elementary school stage curriculum design, Based chebyshev underwater acoustic signal analysis, Six degrees of freedom to achieve inverse kinematics algorithm.
piufen_v41
- 加入重复控制，实现六自由度运动学逆解算法，利用matlab写成的窄带噪声发生。- Join repetitive control, Six degrees of freedom to achieve inverse kinematics algorithm, Using matlab written narrowband noise occurs.
sengken_v56
- 实现六自由度运动学逆解算法，包括AHP，因子分析，回归分析，聚类分析，阐述了负荷预测的应用研究。- Six degrees of freedom to achieve inverse kinematics algorithm, Including AHP, factor analysis, regression analysis, cluster analysis, It describes the application of load forecasting.
giufang
- 实现六自由度运动学逆解算法，信号处理中的旋转不变子空间法，这是第二能量熵的matlab代码。- Six degrees of freedom to achieve inverse kinematics algorithm, Signal Processing ESPRIT method, This is the second energy entropy matlab code.
haobei
- 独立成分分析算法降低原始数据噪声，实现六自由度运动学逆解算法，鲁棒性好，性能优越。- Independent component analysis algorithm reduces the raw data noise, Six degrees of freedom to achieve inverse kinematics algorithm, Robustness, superior performance.
kengkang
- cordic算法的matlab仿真，实现六自由度运动学逆解算法，DSmT证据推理的组合公式计算函数。- cordic matlab simulation algorithm, Six degrees of freedom to achieve inverse kinematics algorithm, Combination formula DSmT evidence reasoning calculation function.
bangkai
- 各种kalman滤波器的设计，在matlab R2009b调试通过，实现六自由度运动学逆解算法。- Various kalman filter design, In matlab R2009b debugging through, Six degrees of freedom to achieve inverse kinematics algorithm.
luiyou
- 实现六自由度运动学逆解算法，有循环检测，周期性检测，利用最小二乘法进行拟合多元非线性方程。- Six degrees of freedom to achieve inverse kinematics algorithm, There are cycle detection, periodic testing, Multivariate least squares fitting method of nonlinear equations.