ranliaodianchi

很好的卡尔曼滤波器的实现，跟踪机动目标仿真(Kalman filter to achieve good tracking maneuvering target simulation)

sliding mode controller slotine example 7-2

说明：  营造卓越，分享学术的氛围！很好，欢迎大家学习，交流！(verygood！let we see！verygood！let we see！verygood！let we see！verygood！let we see！verygood！let we see！)

丁星版《MATLAB杆系结构分析》内容全面详尽，涉及了平面刚架及空间刚架的静力分析和动力分析。随书光盘中附有书中涉及的所有Matlab源程序和例题。本代码为光盘源码。(D Star Edition "MATLAB analysis of truss structures" comprehensive and detailed, involving a plane frame and space frame analysis of the static and dynamic analysis. CD-ROM with the book to all involved with the book and Matlab source code examples. The source code for the disc. )

SIMULINK是 MATLAB 中动态系统建模、仿真和分析的一个集成环境 , 文中按照仿真过程基本步骤用 MATLAB 的仿真工具 SIMULINK实现了数字信号基带传输系统的仿真过程 , 对系统性能进行了分析(MATLAB SIMULINK is dynamic system modeling, simulation and analysis of an integrated environment, Simulation of the text in accordance with the basic process steps using MATLAB Simulink simulation tool to achieve a digital signal- Band Transmission System Simulation of the process, the system performance analysis)

fading channel .....................

this is thresholding

Monte Carlo Simulation On Estimating the probability of a flush

The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order (The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order)

matlab在数学建模中的应用，有效利用matlab进行数学建模(matlab mathematical modeling applications, the effective use of matlab mathematical modeling)