本程序是关于自适应滤波器的均衡实验代码-Chap_5_EQ

说明：  粒子滤波器在机器人导航中的成功应用，扩展卡尔曼滤波器。(Particle filter in robot navigation in the successful application of extended Kalman filter.)

说明：  这个是用基本粒子群优化算法解两个测试函数的最小值问题。(This is a fundamental particle swarm optimization algorithm using two test function solution of the minimum problem.)

层次分析法matlab代码；在网上找到了一些好用的层次分析法的代码，挺好用的！(AHP matlab code the Internet to find some useful analytic hierarchy code, very good use!)

MAT lab source code need

混沌理论，四翼混沌，两翼混沌，间隙混沌，超混沌，等等混沌(Chaos theory, four-wing chaotic, two wings of chaos, space chaotic attractor, chaos, etc.)

比较经典的循环平稳的书籍，国防科大出版的，可以参考，谢谢大家分享。(More classic smooth circulation of books, published by the National Defense Science, reference, thank you for sharing.)

combined optimal control technique for robot manipulators

PLOT RECEIVING END VOLTAGE (Vr/Vs) AS A FUNCTION OF (P/Po) FOR UNCOMPENSATED AS WELL AS L-C COMPENSATED LINES AT LOAD AT PARTICULAR LENGTH OF LINE. TAKE Ø = 0, 0.866 LAG & 0.866 LEAD AND LEGTH OF TRANSMISSION LINE 200 KM, 400 KM & 500 KM. EXPLAIN THE VOLTAGE VARIATION OF LINE.

卡尔曼滤波是一种高效率的递归滤波器(自回归滤波器), 它能够从一系列的不完全包含噪声的测量(英文:measurement)中，估计动态系统的状态。(Kalman filter is an efficient recursive filter (autoregressive filter), which can contain from a series of incomplete measurement of noise (in English: measurement) is estimated dynamic system state.)

详细介绍了Kalman滤波的理论知识，应用原理和应用环境(Kalman filter described in detail the theory of knowledge, theory and application environment application)