Research on Inverse Kinematics a 移动机械手的逆运动学及滑模变结构轨迹跟踪控制研究
The research methods of Inverse dynamics problems have important effects on system stability, optimum control, fault diagnosis and thermodynamic measuring.
逆动力学问题的研究方法在系统的稳定、最优控制、故障检测以及测量中有着重要的作用。
In this paper, inverse projection principal component analysis (IPPCA) method is presented by way of research on PCA characteristics for improving its monitor sensitivity and diagnosis accuracy.
本文针对主元分析（PCA）方法在故障检测和诊断应用中的特点，对其进行拓展性研究，提出一种逆投影主元分析方法，意在提高故障检测灵敏度和诊断准确性。
This thesis presents a systematic research on some types of special matrices such as inverse M-matrices.
本文主要对逆m -矩阵的几个问题进行研究。
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