guijigenzong

manipulator tracking ramp

this code compute LOLE (loss of load expectation) in a simple power system.

多频率点的凹口滤波，干扰对消，实现信号与噪声的分离，效果很好。(Recesses of the multi-frequency filtering, interference canceller to realize the separation of signal and noise, and the effect is good.)

实现基于PSO的混合粒子优化算法,具有很好的稳定性和快速性(Search algorithm based on hybrid particle swarm optimization algorithm based on TSP)

萤火虫算法（Firefly Algorithm）是一种启发式算法，灵感来自于萤火虫闪烁的行为。萤火虫的闪光，其主要目的是作为一个信号系统，以吸引其他的萤火虫。剑桥大学的Xin-She Yang（音译：杨新社）教授提出了萤火虫算法，其假设为[1]： 萤火虫不分性别，这样一个萤火虫将会吸引到所有其他的萤火虫 吸引力与它们的亮度成正比，对于任何两个萤火虫，不那么明亮的萤火虫被吸引，因此移动到更亮的一个，然而，亮度又随着其距离的增加而减少 如果没有比一个给定的萤火虫更亮的萤火虫，它会随机移动。 亮度应与目标函数联系起来。萤火虫算法是以自然为灵感的启发式优化算法(The Firefly Algorithm (are) Algorithm is a kind of heuristic Algorithm, inspired by the behavior of the fireflies flash. Fireflies flash, its main purpose is to as a signaling system, to attract other fireflies. The university of Cambridge, Xin- She Yang (transliteration: Yang Xinshe) professor firefly algorithm is proposed, its hypothesis in [1]. Fireflies regardless of gender, such a firefly will attract all the other fireflies Attractive proportional to their brightness, for any two fireflies, less bright fireflies are attracted, so moving to a brighter, however, brightness and reduce with the increase of the distance If there is no more than a given fireflies light of fireflies, it will move randomly. Brightness should be linked with the objective function. The firefly algorithm based on natural inspiration of heuristic optimization algorithm)

直流电机调速的MATLAB仿真（开环闭环加矫正不加矫正）simulink模型，空载以及有负载的仿真实例。MATLAB simulation of DC motor speed control (open-loop closed-loop plus correction without correction) simulink model, simulation examples, and there are loads of load.(MATLAB simulation of DC motor speed control (open-loop closed-loop plus correction without correction) simulink model, simulation examples, and there are loads of load.)

通过各种方法对图像进行稀疏化分解，最后用压缩感知算法进行重建(The image is sparse decomposed by various methods, and finally reconstructed by compressed sensing algorithm)

1.n个节点分段Lagrange插值多项式； 2.使用格式y=lagrange(x0,y0,x,k)； 3.输入项x0为n维插值节点向量，y0为n维被插函数值向量； 4.x为m维插值点向量，k为分段插值多项式次数，不超过3，缺省为k=1； 5.输出y为插值点x处的函数值；( 1.n a sub-node Lagrange interpolation polynomial 2. The use of the format y = lagrange (x0, y0, x, k) 3. Input x0 of interpolation nodes for the n-dimensional vector, y0 for n-dimensional vector function to be inserted 4.x interpolation points for the m-dimensional vector, k is the number of sub-polynomial interpolation, not more than 3, the default for k = 1 5. output y for the interpolation points x Department of function )

cvt混合动力汽车仿真模型图，前后轮制动力分配曲线图绘制(cvt hybrid vehicle simulation model diagram, front and rear brake force distribution curve drawing)

invariant moment feature selection of an image, matlab code