optimization

MATLAB_Simulink的捷联惯性导航系统仿真(MATLAB_Simulink of strapdown inertial navigation system simulation)

该文件是一个详细分析PID控制的文件。通过示波器，改变参数下，可以很形象的观察输出波形的变化，这样可以更加直观的学习PID控制，加深对它的理解。(The file is a detailed analysis of PID control file. Through the oscilloscope, change the parameters, can be very image of the observed output waveform change, so that we can more intuitive learning PID control, deepen the understanding of it )

最新的gstreamer内部原理和开发指南，讲的非常详细，收藏好多年啦(The new GStreamer internal principle and development guide, a very detailed, for several years)

《MATLAB R2008图形与动画编程实例教程》的源代码--第二章(" MATLAB R2008 examples of graphics and animation programming tutorial" source code- Chapter II)

说明：  matlab 实现汽车悬架分析，四分之一、二分之一，整车悬架悬架(matlab achieve vehicle suspension analysis, a quarter, half, vehicle suspension suspension)

说明：  使用各种牛顿法（包括普通牛顿法，拟牛顿法，阻尼牛顿法）求解优化问题(Using various Newton methods (including general Newton method, quasi Newton method, damped Newton method) to solve optimization problems)

异步电机abo仿真模型基于matlab的simulink仿真 源码(Abo simulation model of induction motor based on the simulink simulation matlab source)

《PID Controller Design》PID控制器设计的经典教程，内涵大量实例(《PID Controller Design》)

说明：  一种利用线性插值做的三角网格化的matlab程序(linearSubdivision A simple m file for the triangle mesh subdivision using linear interpolation. )

Description We present a Matlab toolbox which can solve basic problems related to the Total Least Squares (TLS) method in the modeling. By illustrative examples we show how to use the TLS method for solution of: - linear regression model - nonlinear regression model - fitting data in 3D space - identification of dynamical system This toolbox requires another two functions, which are already published in Matlab Central File Exchange. Those functions will be installed to computer via supporting install package requireFEXpackage included in TLS package. For more details see ReadMe.txt file. Authors: Ivo Petras, Dagmar Bednarova, Tomas Skovranek, and Igor Podlubny (Technical University of Kosice, Slovakia) Detailed description of the functions, examples and demos can be found at the link: Ivo Petras and Dagmar Bednarova: Total Least Squares Approach to Modeling: A Matlab Toolbox, Acta Montanistica Slovaca, vol. 15, no. 2, 2010, pp. 158-170.