ditonglvboqi_maichongbubianfa

Reduction of Craig_Bampton(this is a method of reducing Finite Element Method)

Extended Kalman Filter Tracking Object in 3-D(Assume that we want to track an object moving in 3-D space with constant velocity. Our instruments observe bearing, range and high(cylindrical coordinates). However, of an interest are rectangular coordinates. Since transformation is non-linear this requires use of extended Kalman filter. Because transformation is non-linear between X,Y and Range,Bearing and linear between Z and high(Z is height), this problems serves as a good comparason of how well extended Kalman filter can perform. By comparing its linear estimation error in Z to non-linear estimations in X and Y, we can judge how non-familiarities effect estimation. )

bpske调制信号在matlab里的仿真实现(Simulation of BPSKE modulated signal in matlab)

TSP simulated annealing matlab code

Space photo resection method

Stepper motor simulation

卡尔曼滤波的理解，利用一个简单的正弦信号来进行卡尔曼滤波，从而更好的理解卡尔曼滤波。(Understanding of the Kalman filter, with a simple sinusoidal signal to the Kalman filter so as to better understand the Kalman filter.)

crc a guide to matlab object oriented programming e book with complete reference

卡尔曼滤波器的编码程序，基础程序可以好好学习下，希望有帮助！(Kalman filter coding procedures, based on the program can learn under, want to help!)

Under the circumstances of pure lag in feedback control system and the imprecision of the controlled object model, the fuzzy logic and pure lag compensation theory is used to design a Fuzzy PI-Smith control system . By the Simulink toolbox and Fuzzy logic toolbox of MATLAB, the system has been simulated. The simulation results show that the Fuzzy PI-Smith system has faster response speed and smaller overshoot than the traditional PI-Smith system.The explicit formulation of Fuzzy PI-Smith system is derived, and it lay the basis for the practical application of control algorithms.