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摘要：本文基于Matlab对约瑟夫森结（Josephson Junction）RCSJ模型的交直流I-V特性及非线性混沌现象进行数值模拟。通过计算机数值模拟得到该模型的非线性微分方程数值解，研究了RCSJ模型中各参量对约瑟夫森结的影响，进而简要分析其I-V特性和非线性混沌现象的产生机理，绘制出约瑟夫森结的交直流I-V特性曲线、非线性微分方程的相图及因其高度非线性而引起的通过倍周期分岔和阵发性原理进入混沌状态的分岔图。 关键词：超导器件 隧道效应 约瑟夫森结 弱耦合 倍周期分岔 庞加莱截面 混沌 (Abstract: Matlab-based Josephson junction on the (Josephson Junction) RCSJ model AC and DC IV characteristics and non-linear numerical simulation of chaotic phenomena. Through computer simulation model by the numerical solution of nonlinear differential equations to study the RCSJ model parameters on the impact of Josephson junction, and a brief analysis of the IV characteristics and the emergence of the phenomenon of non-linear chaotic mechanism, drawn Josephson junction IV characteristic curve of AC-DC, non-linear differential equations and the phase diagram because of its highly nonlinear arising through period-doubling bifurcation and chaotic state of paroxysmal principle of access to the bifurcation diagram. Key words: superconducting devices tunnel effect Josephson junction weakly coupled period-doubling bifurcation chaotic Poincare section)

this is an optimization code in matlab

说明：  MIMO块对角化预编码4发4收系统模型时的情形，将预编码技术与Vblast系统结合起来(MIMO block diagonalization precoding 4 4 Settlement System model made the case, the pre-coding technology combined with Vblast systems)

application of the fuzzy logic controller to control the MPPT

说明：  温克、孙克华，清华大学出版社。神经网络算法、遗传算法、粒子群算法、免疫算法、蚁群算法等等。(Neural network algorithm, genetic algorithm, particle swarm algorithm, immune algorithm, ant colony algorithm, etc.)

Using interpolation method and implied volatility to calculate barrier options

IEEE1394的相关介绍，是1394入门的首选！强烈推荐朋友们(IEEE1394 relevant, the portal is the first choice for 1394! Strongly recommend friends to s)

256QAM和QPSK调制的MATLAB仿真............(QPSK modulation 256QAM and simulation of MATLAB ............)

一种新型的pwm逆变器,利用了流行的z-source技术(A novel pwm inverter, using the popular z-source technology)

一个非高斯目标方法的例子，研究不同自适应方法(A non-Gaussian examples of the target method to study the different adaptive methods)