搜索资源列表
TDST_0
- 一个时滞系统的工具箱，可以求解线性，非线性时滞系统的状态响应，阶跃响应等
用指数龙格库塔方法求解时滞
- 用指数龙格库塔方法求解时滞（延迟）微分方程！,Using index method Runge-Kutta time-delay (delay) differential equations!
RK_4
- 求解时滞微分方程的龙格库塔方法！用matlab编写的。-Solving Delay Differential Equations Runge-Kutta methods! Prepared using matlab.
program
- 电力系统广域时滞系统鲁棒控制的论文和MATLAB程序实现 该文件中含有一篇参考文献和该论文所有结论的MATLAB仿真实现，对于电力系统时滞控制的学习研究有帮助。 -good
ODE20110306
- 常系数差分方程、微分方程、时滞方程求解程序，可以自动识别用户输入方程的系数和运算关系，用户可以设置多种求解条件，求解结果保存入文件，同时在界面上图形化显示-Constant coefficient differential equations, differential equations, delay equations program that can automatically identify the user to enter equations and computing the c
DrawTrajbushishizhilianxu
- 时滞微分方程数值模拟与仿真，用于种群模型、传染病模型图像拟合-The Delay Differential Numerical Modeling and Simulation for the population model, the infectious disease model image fitting
function3
- 时滞微分方程组的原方程，以及相图程序，包括matlab源代码-Delay differential equations of the original equation, and the phase diagram of the program, including Matlab source code
function4
- 求解时滞微分方程组，并给出了Matlab程序的源代码-Delay Differential Equation, and gives the the Matlab program source code
stochastic-computation
- TGM.m \\传统的Galerkin方法 MD.m \\时滞惯性流形方法 brownian.m \\演示布朗运动 randomwalk.m \\ 演示随机游走 tumor.m \\ 演示tumor演化-TGM.m \ \ traditional Galerkin method MD.m \ \ Delays inertial manifold method brownian.m \ \ demo Brownian motion randomwalk.m \ \ demo ran
impulsive0
- 脉冲时滞控制系统，包含了复杂动态，刻画系统的运行性态。-impulsive control system
LE
- 计算时滞微分方程的李雅普诺夫指数，动力学维数-Delay differential equations Lyapunov index calculation, dynamic dimension
Simulation-of-flexible-robot-arm
- 使用最小二乘法对模型阶数和时滞未知的一种柔性机器人手臂进行辨识与建模。-Identification and modeling of a flexible robot arm with the least square method for model order and time delay.
least-square-method
- 在模型阶数和时滞已知与未知情况下，系统辨识与建模的5种最小二乘法。-5 kinds of least square method for system identification and modeling in the model order and time delay are known and unknown.
matlab-KICA
- kica-故障监测 通过对自回归模型中测量矩阵引入时滞参数得到一个适用于动态系统的增广矩阵；然后，选择核函数，计算核矩阵，将增广矩阵映射到高维空间进行白化；最后，利用改进的快速ICA方法提取出独立成分实现对新的测试数据进行在线监测-kica-Fault monitoring