Applied_Numerical_Methods_Using_MATLAB_(Wiley2005)

MATLAB基础和应用实例精粹(经典之作）(The essence of basic and applied examples MATLAB (classic))

MATLAB数字信号处理里面的源代码和课件

本文对基于非线性控制方法的倒立摆系统控制进行了系统的研究(In this paper, control methods based on nonlinear inverted pendulum control system research)

kalman滤波matlab程序，自己读了一点修改了一点，里面有说明(kalman filter matlab program, read a little modified a bit, which is described)

关于MATLAB信号处理的一本电子书，内容比较全面，希望对大家有帮助(about matlab siganl process)

说明：  参考文件MAT-FILE打包下载visualC加加MATLAB(MAT-FILE)

使用matlab根据50倍Q值的有源滤波器的传输函数设计各个参数跟带通滤波器的中心频率关系的M文件，可供调用(Q using matlab under 50 times the value of the transfer function of active filter design of the various parameters of band-pass filter with center frequency of the relationship between M-files are available for calls)

direct torque control of brushless dc motor based on space vector

说明：  在MATLAB环境下进行双线性变换椭圆低通滤波器设计(In the MATLAB environment bilinear transform elliptical low-pass filter design)

Fuzzy logic is a form of many-valued logic or probabilistic logic it deals with reasoning that is approximate rather than fixed and exact. Compared to traditional binary sets (where variables may take on true or false values) fuzzy logic variables may have a truth value that ranges in degree between 0 and 1. Fuzzy logic has been extended to handle the concept of partial truth, where the truth value may range between completely true and completely false.[1] Furthermore, when linguistic variables are used, these degrees may be managed by specific functions.