TWOlevel-SVPWM

无人机如何在复杂的战区自主飞行是时下的一个热点。这里采用了蚁群算法做出了探讨。并用matlab实现。假定无人机的活动范围为20km×20km的区域，无人机起点的平面坐标为[1,2][单位：km], 攻击目标的平面坐标为[19,18][单位：km]，同时不考虑无人机起飞降落时的限制。数字地图和敌方威胁情况[主要考虑雷达威胁]已在附件中给出。数字地图可以做适当的简化，比如可以把地形近似分为三种：高地，低地以及过渡地带。 忽略地形和无人机操作性能等因素的影响，综合考虑敌方威胁，无人机航程等，基于二维平面建立单机单目标的航迹规划模型。( ant,plane)

H无穷鲁棒控制的一些实例与教程，其中包括程序文件以及pdf文件，适合初学者学习(H u65E0 u7A77 u9C01 u659 u659 u4E09 u4E09 u4E2 U53CApdf u6587 u4EF6 uFF0C u9002 u5206 u5216 u5B66 u8005 u5B66 u4E60)

阵列信号处理的理论与应用书籍代码：MATLAB程序 1：MUSIC 算法MATLAB程序 2：ESPRIT 算法MATLAB程序 3：Root-MUSIC算法MATLAB程序 4：面阵中二维角度估计 Unitary -ESPRIT算法MATLAB程序 5：空间平滑MUSIC算法的MATLAB程序 6：角度和时延联合估计（JADE）算法MATLAB程序 7：传播算子DOA估计算法MATLAB程序 8：基于增广矩阵束的L型阵列的二维DOA估计MATLAB程序(Theory and Application of Array Signal Processing Book Code: MATLAB Program 1: MUSIC algorithm MATLAB program 2: ESPRIT algorithm MATLAB program 3: Root-MUSIC algorithm MATLAB program 4: Two-dimensional Angle Estimation Unitary-ESPRIT Algorithm MATLAB Program 5: space smoothing MUSIC algorithm MATLAB program 6: angle and delay joint estimation (JADE) algorithm MATLAB program 7: Propagation operator DOA estimation algorithm MATLAB program 8: Two- Dimensional DOA Estimation of MATLAB for L- Type Array Based on Augmented Matrix Bundles)

主要是基于mtlab的程序，包含特征值与特征向量的提取、训练样本以及最后的识别，小波包分析提取振动信号中的特征频率。( Mainly based on the mtlab procedures, Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, Wavelet packet analysis to extract vibration signal characteristic frequency.)

主要是利用牛顿法解线性方程组，重点是雅克比矩阵的求解(Solving linear equations by Newton method)

说明：  《MIMO-OFDM无线通信技术及MATLAB实现》源代码("MIMO-OFDM wireless communication technology and MATLAB implementation" source code)

说明：  经典99行matlab拓扑优化代码，值得学习(Topology optimization of classical 99-line matlab)

说明：  阵列信号处理工具书，列阵天线分析与综合——王建(The directivity of the linear array with uniform space estimation by spatial spectrum)

用于雷达的恒虚警检测程序,这里你可以进行雷达信号的恒虚警检测(The constant virtual police detection procedure for radar, where you can detect the constant false alarm of radar signal)

，建立车体6个自由度加上前轮转向系统1个 自由度的汽车数学模型；该汽车数学模型不需引入很多的人为假设；可以实现给定汽车前轮转角，也可以不给定前轮 转角；不依赖需要复杂测定的侧向力函数及相关模型参数；考虑了轮胎的滚动特性(, 6 degree of freedom body set up with front-wheel steering system a degree of freedom mathematical model of the vehicle mathematical model of the motor vehicle without the introduction of the assumption that a lot of man-made can achieve a given vehicle' s front wheel angle, it may not give pre-set rotation angle do not rely on the complexity of the determination of the required lateral force function and the related model parameters taking into account characteristics of the tire rolling)