2011_inertial-navigation_second

In this paper, an attractive approach for teaching genetic algorithm (GA) is pre-sented. This approach is based primarily on using MATLAB in implementing the genetic operators: crossover, mutation and selection. A detailed illustrative example is presented to demonstrate that GA is capable of finding global or near-global optimum solutions of multi-modal functions. An application of GA in designing a robust controller for uncertain control systems is also given to show its potential in designing engineering intelligent systems

this is a prototype of histogram function

matlab code for perceptron and adalin

无模型自适应控制的matlab/simulink模型，不依赖系统模型的控制方法(model free adaptive control bases on the matlab/simulink,the control theory without the model of system)

using simulink robotics simulation with virtual reality matlb toolbox for a 5 dof robot maipulator

仿真分析相控阵雷达中一维线阵的栅瓣效应产生的原因及避免方法，并画图(And the method of avoiding the simulation analysis causes of grating lobes linear phased array radar, and drawing)

matlab implemetation fo guided fitler

matlab优化计算 第8章 约束优化问题 第9章 非线性最小二乘优化问题 第10章 线性规划 第11章 整数规划(linear programming)

Coaxial-Mesh generation-Finite element method-elctromagnetic-KNTU-

插值法的matlab实现，内含说明。拉格朗日插值，均分牛顿插值，差分牛顿插值，三次样条插值，埃米尔特插值(Matlab interpolation method implementations, containing instructions. Lagrange interpolation, Newton interpolation sharing, differential Newton interpolation, cubic spline interpolation, Amy Stewart interpolation)