矩阵奇异值 meaning in Chinese
singular values of a matrix
Examples
- Discuss the symmetric solutions under restriction of norm - function using the singular value decomposition of matrix
利用矩阵奇异值分解讨论范函数约束下的对称解 - Thirdly , the analysis method for nonlinear system using rank factor of observability and singular value decomposition are proposed , and navigation observability is analyzed
第三,给出观测矩阵秩条件及矩阵奇异值分解的非线性系统可观性分析方法,对自主导航系统进行可观性分析。 - In the first part , depending on three or more images , the main research work are listed as follows : ( l ) using svd decomposition to realize projective reconstruction ; ( 2 ) realizing camera self - calibration by solving kruppa ' s equation ; ( s ) recovering euclidean reconstruction from projective reconstruction . depending on only two images , the main researches are : ( l ) making out infinite plane homography matrix by using scene structure information , then recovering affine reconstruction from projective reconstruction ; ( 2 ) making out the absolute conic images by using scene structure information , and then recovering euclidean reconstruction from projective reconstruction
在第一部分中，针对三幅及三幅以上的图像，主要研究：利用矩阵奇异值分解( svd )实现射影重构，通过求解kruppa方程实现摄像机自标定，由射影重构恢复欧氏重构；针对只有两幅图像的情况，主要研究：利用场景结构信息求解无穷远平面的单应矩阵，由射影重构恢复仿射重构，利用场景结构信息求解绝对二次曲线的像(等价于标定摄像机) ，由仿射重构恢复欧氏重构。 - ( 6 ) the analysis on singularity configurations of the manipulator were investigated by the singular value decomposition of jacobian matrix , which was treated with the damped least - square method in the motion . from the results obtained it was indicated that the minimum singular value of manipulator calculated by the damping jacobian matrix were far from zero position . velocity , position and accelerate of all the joints of manipulator moved regularly , consequently the problem that the joint of mani
( 6 )通过雅可比矩阵奇异值分解进行番茄收获机械手奇异性分析，并采用阻尼最小二乘法对机械手运动中的奇异位形进行处理，使番茄收获机械手最小奇异值远离零点，各关节运动速度、位置和加速度运动无异常波动，解决了机械手在奇异位形处某些关节运动无法控制的问题。 - In this paper , damped least - square method utilized to overcome kinematic singularity of robotic manipulators was improved , which achieved more accurate tracking compared to the traditional method . singular value decomposition ( svd ) , to which was attached great importance in singularity - robust inverse kinematics and kinematic control of redundant manipulators , was investigated . also , an overwhelmingly utilized algorithm of svd was improved and some possible problems encountered in joint failure issues and redundant issues when using this algorithm was deeply discussed
本文改进了解决机器人运动学奇异的阻尼最小二乘法,同传统的阻尼最小二乘法相比具有更高的跟踪精度;研究了在机器人奇异鲁棒性逆运动学、机器人冗余运动控制中占有重要地位的矩阵奇异值分解,对一种应用广泛的奇异值分解算法做了改进,并对其在关节卡死和冗余控制中可能遇到的问题做了较为深入的讨论,系统地描述了一阶运动学实现方案,为轨迹规划打下了坚实的基础。