In this paper, a novel adaptive control approach based on fuzzy basis function vector is presented for Multi input and Multi output (MIMO) nonlinear systems.
针对多输入-多输出(MIMO)非线性系统基于模糊基函数向量提出了一种新的自适应控制方法。
This paper analyzes the problems in data input of digital map publish especially in vector data input, and indicates the importance of multi-source vector data use.
文中分析了当前数字地图出版中数据输入尤其在矢量数据输入方面存在的诸多问题，指出了多源矢量数据利用的重要性。
The support vector machines(SVM) model with multi-input and single output was proposed.
建立了多输入、单输出的支持向量机（SVM）预测模型。
Its capabilities include: data input, geographical analysis (raster, vector and site), manipulate multi-spectral images and map display.
其功能包括：数据输入、地理分析(栅格、矢量、点)、多光谱图像处理、地图显示。
A comparative study of two decoupling control methods based on vector control and nonlinear multi-input-multi-output state-feedback based on theory of differential geometry is researched.
对异步电动机的矢量控制和基于微分几何理论的非线性多输入多输出状态反馈两种解耦控制方案作理论和试验比较研究。
The 1-dimensional and 2-dimensional vector input have achieved 100% classification rate to single-user and multi-user, respectively.
对于多用户的注视探测，二维组合系数输入实现了100%的正确率识别率。
The 1-dimensional and 2-dimensional vector input have achieved 100% classification rate to single-user and multi-user, respectively.
对于多用户的注视探测，二维组合系数输入实现了100%的正确率识别率。
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