finalreviewphase1

本文对基于非线性控制方法的倒立摆系统控制进行了系统的研究(In this paper, control methods based on nonlinear inverted pendulum control system research)

matlab good meterial of matlab and instruction of matlab matlab matlab matlab good good good good goood good good instruction instruction instruction instruction instruction instruction( good meterial of matlab and instruction of matlab matlab matlab matlab good good good good goood good good instruction instruction instruction instruction instruction instruction)

关于matlab描述连续信号与离散信号的相关程序及信号图形。(Description Matlab program of continuous signal and discrete signal and signal graphics.)

为超级电容设计的双向充电 使用back-boost电路，含电流换向时切换控制方式(Designed for super capacitor two-way charge to use the back- the boost circuit, current commutation switch control mode)

响应面MATLAB实现，建立近似模型，提高效率(response surface method)

newton rafson power flow source code.

这是一个用matlab仿真拉曼增益系数的例程，覆盖波长为1445-1617nm(This is a simulation of the Raman gain coefficient matlab routines, covering the wavelength 1445-1617nm)

Ant Colony Optimization (ACO) is a paradigm for designing metaheuristic algorithms for combinatorial optimization problems. The first algorithm which can be classified within this framework was presented in 1991 [21, 13] and, since then, many diverse variants of the basic principle have been reported in the literature. The essential trait of ACO algorithms is the combination of a priori information about the structure of a promising solution with a posteriori information about the structure of previously obtained good solutions.

随即过程模拟，用matlab描述，企业在不同策略下参生的效益有是否不同(Then the process of simulation, using matlab description, corporate strategy in different Senate Health benefits have is different)

将粗糙集中的一系列概念引入到故障选线中，实现了高效可靠的选线判据，仿真证明算法正确可信(rough set based fault line detection)