potsband

函数优化，随机输入一个函数，优化产生最优值。(Function optimization, random input a function, optimization produces optimal value.)

fuzzy application in image processing

matlab计算轴系振动的程序，包含“纵向振动”和“扭转振动”。(matlab to calculate the shaft vibration procedures, including the longitudinal vibration and torsional vibration.)

kind of inverter that is controlable in matlab simulink

fsk调制解调matlab代码，给出了在噪声信道条件下fsk的调制和教条的matlab实现，并给出了误码率(fsk modulation and demodulation matlab code is given in the noisy channel conditions, fsk modulation and dogmatic matlab implementation, and gives the bit error rate)

this zip file consists of matlab code for various compression algorithms used for video and audio compression and cdma technology

The model used for creating the reference voltage is shown in Fig. 4. First, photovoltaic output current (Ipv) and output voltage (Vpv) are passed through a first order low pass filter with a magnitude of G = 1 and a time constant of T = 0.01 seconds in order to filter out the high frequency components or harmonics from these signals as shown in Fig. 5 and Fig. 6. The filtered current and voltage signals (Ipv_F and Vpv_F) are then fed into the MPPT control block that uses the Incremental Conductance Tracking Algorithm. An algorithm that is based on the fact the slope of the PV array power curve shown in Fig. 7 is zero at the Maximum Power Point (MPP), positive on the left of the MPP, and negative on the right. The MPP can thus be tracked by comparing the instantaneous conductance (I/V) to the incremental conductance (∆ I/∆ V) [11] as in (1):

研究1维FDTD的收敛情况，分情况讨论stability factor小于，大于，等于1的情况(The convergence of one-dimensional FDTD case, the situation points to discuss stability factor is less than, greater than, equal to 1)

Lagrange algorithm for unit commitment problem, 5 machine system

The optimization behavior of the self-adaptation (SA) evolution strategy (ES) with intermediate multirecombination (the (=I )-SA-ES) using isotropic mutations is investigated on the general elliptic objective function. An asymptotically exact quadratic progress rate formula is derived. This is used to model the dynamical ES system by a set of difference equations. The solutions of this system are used to analytically calculate the optimal learning parameter  . The theoretical results are compared and validated by comparison with real (=I )-SA-ES runs on typical elliptic test model cases. The theoretical results clearly indicate that using a model-independent learning parameter  leads to suboptimal performance of the (=I )-SA-ES on objective functions with changing local condition numbers as often encountered in practical problems with complex fitness landscapes.