▍1. Modern-Inertial-Technology
现代惯性技术，尤其是导航，制导，控制部分以及相应的计算方法(Modern Inertial Technology(Navigation,Guidance,and Control))
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▍2. shuangmaikefengjiangzao
单麦克风和双麦克风语音增强系统的研究，这是基础的双麦克风降噪算法，但是很实用(Single microphone and dual-microphone speech enhancement system, which is based dual-microphone noise reduction algorithm, but very practical)
▍3. 16machine68bus
电力系统仿真数据，经典ieee的68节点系统潮流文件(Power system simulation data, the classic 68-node system ieee trend file)
▍4. Fluent-6DOF
Fluent六自由度、动网格、多相流综合学习案例(The case of 6DOF,dynamic mesh,multiphase in the Fluent)
▍5. 5100309800_3
《电气设备综合实验》第三部分（雷击模拟）实验报告(" Electrical equipment comprehensive experimental" third part (lightning simulation) test report)
▍6. 5100309800_3
《电气设备综合实验》第三部分（雷击模拟）实验报告(" Electrical equipment comprehensive experimental" third part (lightning simulation) test report)
▍7. rough-set-and-neighborhood-rough-set
关于粗糙集和邻域粗糙集的基本理论和程序算例 本文在原始的邻域粗糙集约简程序基础上做了修改。 压缩文件包括：3个m文件，一个mat文件，一个pdf文档。 这个文档是我自己编写的，关于粗糙集和邻域粗糙集的一些基础知识讲解和邻域粗糙集的基础算例，邻域粗糙集程序使用说明，算例说明。 希望大家能交流学习。如果你没有积分，可以加我qq索取：379786867 (Rough Sets and neighborhood rough set theory and the basic procedures for example in the original article neighborhood rough set reduction procedure done on the basis of the changes. Zip file includes: 3 m documents, a mat file, a pdf document. This document is my own preparation, on rough sets and neighborhood rough set some basic knowledge to explain and neighborhood rough set based numerical example, neighborhood rough set procedures for use, numerical example. I hope we can exchange study. If you no points, you can add my qq Request: 379,786,867)
▍8. 6DOF
A 6-DOF simulation has 6 degrees of freedom: three rotations and three translations. Since a vehicle both translates and rotates through the air, two coordinate systems keep track of the vehicle. The first is a known or fixed reference system, referred to here as a local-level coordinate system. The local-level system is a standard, right-hand, three-axis coordinate system with the x-y plane representing the horizontal ground plane the z-axis is positive down.
▍9. HSPICE_TRAINING_2K_PDF
这是一个HSPICE_TRAINING_2K_(This is a HSPICE_TRAINING_2K_)
▍10. OptiGrating-Users-Reference-42
Optigrating 软件使用说明书与案例教程(guideline of optigrating software )
▍11. Gaussian-Bare-Bones-Differential-Evolution
Gaussian Bare-Bones Differential Evolution Differential evolution (DE) is a well-known algorithm for global optimization over continuous search spaces. However, choosing the optimal control parameters is a challenging task because they are problem oriented. In order to minimize the effects of the control parameters, a Gaussian bare-bones DE (GBDE) and its modified version (MGBDE) are proposed which are almost parameter free. To verify the performance of our approaches, 30 benchmark functions and two real-world problems are utilized. Conducted experiments indicate that the MGBDE performs significantly better than, or at least comparable to, several state-of-the-art DE variants and some existing bare-bones algorithms.
▍12. homer
著名电力系统仿真软件HOMER,homer设计软件的使用说明HOMERGuiding(HOMER Guiding)
▍13. Book_Computational_Plasticity
Introduction to Computational Plasticity, 作者：Fionn Dunne and Nik Petrinic. 发表年份：2005. 一本非常基础和使用的介绍计算塑性力学的书籍。(Introduction to Computational Plasticity, written by Fionn Dunne and Nik Petrinic. Published in 2005. A very basic and detailed book that introduces computational plasticity.)
▍14. LBM_manual
LBM可视化软件相应的文档，对于理解代码，学习LBM方法很实用(LBM corresponding visualization software documentation, for understanding the code, learning LBM method is practical)
▍15. TurbulenceModeling_04NOV05
this ducuments include diffrenet turbulence modeling.
▍16. TurbulenceModeling_04NOV05
说明： this ducuments include diffrenet turbulence modeling.
▍17. Design_Of_Charge_Controller_Using_MPPT_A
he energy generated using a photovoltaic (PV) are depends mainly on meteorological factors such as temperature and solar radiation. Considering the high cost and the low efficiency of a PV system, it must operate at maximum power point (MPP) which changes with the load variations and weather conditions. This article presents the conception of a nonlinear controller for the DC-DC converter to retrieve a maximum power from photovoltaic systems (PV). This is affected via the control of duty cycle of the converter. The backstepping control is used to design the controller. The incremental conductance algorithm provides the output reference voltage PV to the backstepping controller. An integral Action is added in order to render the controller robust against changes of parameters and perturbations. The proposed controller performance is assessed by numerical simulations under changing atmospheric conditions(efficiency of a PV system, it must operate at maximum power point (MPP) which changes with the load variations and weather conditions. This article presents the conception of a nonlinear controller for the DC-DC converter to retrieve a maximum power from photovoltaic systems (PV). This is affected via the control of duty cycle of the converter. The backstepping control is used to design the controller. The incremental conductance algorithm provides the output reference voltage PV to the backstepping controller. An integral Action is added in order to render the controller robust against changes of parameters and perturbations. The proposed controller performance is assessed by numerical simulations under changing atmospheric conditions)
▍18. Design_Of_Charge_Controller_Using_MPPT_A
说明： he energy generated using a photovoltaic (PV) are depends mainly on meteorological factors such as temperature and solar radiation. Considering the high cost and the low efficiency of a PV system, it must operate at maximum power point (MPP) which changes with the load variations and weather conditions. This article presents the conception of a nonlinear controller for the DC-DC converter to retrieve a maximum power from photovoltaic systems (PV). This is affected via the control of duty cycle of the converter. The backstepping control is used to design the controller. The incremental conductance algorithm provides the output reference voltage PV to the backstepping controller. An integral Action is added in order to render the controller robust against changes of parameters and perturbations. The proposed controller performance is assessed by numerical simulations under changing atmospheric conditions(efficiency of a PV system, it must operate at maximum power point (MPP) which changes with the load variations and weather conditions. This article presents the conception of a nonlinear controller for the DC-DC converter to retrieve a maximum power from photovoltaic systems (PV). This is affected via the control of duty cycle of the converter. The backstepping control is used to design the controller. The incremental conductance algorithm provides the output reference voltage PV to the backstepping controller. An integral Action is added in order to render the controller robust against changes of parameters and perturbations. The proposed controller performance is assessed by numerical simulations under changing atmospheric conditions)
▍19. advance-mathmatical-staticals
苏良军编著的比较经典的概率书籍，中文的，内容丰富，值得一看。。( U6BD u5B3 u5B3 u0B3 u5B3 u0B3 u5B0 )
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