zhang

cnc controller model using matlab

The paper deals with the fuzzy control of a wastewater treatment process in which the organic substances are removed. The process is treated as a multivariable process having as control inputs the dilution rate, the aeration rate and the recycling rate and as output variables the dissolved oxygen and the substrate concentrations in the effluent. The process sensitivities with respect to the control inputs in the case of indirect control through the control of dissolved oxygen concentration and of the direct control of substrate were studied. In all cases fuzzy controllers were used. It was also shown that fuzzy control provides good results in the presence of disturbances and parametric uncertainties of the model.

日本九州大学的机械工程学院的 Xiong Xiaogang 于 2012 年提出一种更易于实现、同时有能够描述所有摩擦力现象的摩擦力模型，其基于一个微分方程和两个代数方程。本程序是其Simulink实现，非常好用。模型原理请参考：(In 2012, Xiong Xiaogang of the school of mechanical engineering, Kyushu University, Japan proposed a much easier way. The friction model, which can describe all friction phenomena, is based on a differential equation and two algebraic equation. This program is its Simulink implementation, very good use. Model principles, please refer to:Xiong X, Kikuuwe R, Yamamoto M. A differential-algebraic multistate friction model[M]. Simulation, Modeling, and Programming for Autonomous Robots. Springer Berlin Heidelberg,2012)

说明：  室内定位计算.各种定位算法的性能分析，对比结果(room location caculated)

均匀线阵和均匀圆阵的DOA估计，对理解均匀圆阵的方位360度DOA分辨率相等很有帮助，程序里注释很详细。(the DOA estimation of Uniform linear array and uniform circular array, it is helpful to understand uniform circular array s equal resolution in 360 degrees,the detailed comments are given in it.)

DTMF信号检测，在MATlab开发环境下根据GOERTZEL进行编程。(DTMF signal detection)

this is a ebook on matlab

基于AFSA的光纤陀螺随机信号建模，跟大家交流下(AFSA based FOG random signal modeling, sharing with you the next)

ionosphere problem solving

mbedded Zerotrees of Wavelet transforms (EZW) is a lossy image compression algorithm. At low bit rates, i.e. high compression ratios, most of the coefficients produced by a subband transform (such as the wavelet transform) will be zero, or very close to zero. This occurs because "real world" images tend to contain mostly low frequency information (highly correlated). The locations where high frequency information does occur (such as edges in the image) this is particularly important in terms of human perception of the image quality, and thus must be represented accurately in any high quality coding scheme.