▍1. Sfourier
求一维序列x(n)的离散Fourier谱分析，s(0:m)离散功率谱，c(0:m)振幅谱，cta(0:m)位相谱，其中m=[n/2.]。(Discrete Fourier spectrum of one-dimensional series)
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▍2. BP_PSO
pso+bp matlab源程序，吐血推荐(Pso+bp matlab source code, hematemesis recommended )
▍3. BP_PSO
pso+bp matlab源程序，吐血推荐(Pso+bp matlab source code, hematemesis recommended )
▍4. Kinematic-Hardening-Plasticity
A UMAT Coding for Kinematic Hardening Plasticity.
▍5. Kinematic-Hardening-Plasticity
A UMAT Coding for Kinematic Hardening Plasticity.
▍6. ABAQUS_Standard_UMAT_workexample
ABAQUS/Standard 用户材料子程序实例(A standard ABAQUS UMAT workexample.)
▍7. ABAQUS_Standard_UMAT_workexample
ABAQUS/Standard 用户材料子程序实例(A standard ABAQUS UMAT workexample.)
▍10. FreqMeter_v41
电力系统仿真建模需要的模型，可以适合智能电网，分布式发电,PWM 控制(power system modeling control smart grid stability)
▍11. FreqMeter_v41
电力系统仿真建模需要的模型，可以适合智能电网，分布式发电,PWM 控制(power system modeling control smart grid stability)
▍12. SOR_FORTRAN
Solver for linear ecuations system (SOR-successive over relaxation), very usefull!!.
▍13. SOR_FORTRAN
Solver for linear ecuations system (SOR-successive over relaxation), very usefull!!.
▍14. ac-be-dc-rectifier
simulation file in matlab simulink
▍15. ac-be-dc-rectifier
simulation file in matlab simulink
▍16. shipinfenxi
时频分析方法提供了时间域与频率域的联合分布信息，清楚地描述了信号频率随时间变化的关系。(Time-frequency analysis method provides a time-domain and frequency domain, the joint distribution of information that clearly describes the signal frequency versus time relationships.)
▍17. shipinfenxi
时频分析方法提供了时间域与频率域的联合分布信息，清楚地描述了信号频率随时间变化的关系。(Time-frequency analysis method provides a time-domain and frequency domain, the joint distribution of information that clearly describes the signal frequency versus time relationships.)
▍18. windfarm_synmc-psl
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):
▍19. windfarm_synmc-psl
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):
▍20. re1
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):
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