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structIdentification.rar
- 系统辨识中,在matlab中,利用hankel矩阵进行模型阶次的识别
FLch5RMLeg2
- 用matlab仿真的递推极大似然法辨识程序,可用来进行系统辨识,很好用-simulation using Matlab Recursive maximum likelihood method identification procedures, which can be used for system identification, good use
RWLS
- 用matlab编写的一个程序,实现系统辨识中的最小二乘递推算法,有运行结果和图形.-using Matlab a procedure for the preparation, system identification achieve the recursive least squares algorithm, running results and graphics.
6M
- matlab在系统辨识中的应用: 利用六级移位寄存器产生的M序列-Matlab system identification in the application : 6 shift register sequence of the M
nnsysid20
- 基于MATLAB的神经网络非线性系统辨识软件包.-MATLAB-based nonlinear neural network system identification package.
rml
- rml系统辨识源代码.个人珍藏.在matlab环境下应用.-rml system identification code. Personal collections. The application of Matlab environment.
ch2ch5ch7
- 系统辨识与matlab 仿真程序 可直接在MATLAB6.I下运行的MATLAB程序的编号和书本上的内容对应如下,每个程序题目括号内的file.m是对应书本上的内容在光盘上第一部分的程序编号。-system identification and Matlab simulation program can be directly under the MATLAB6.I running MATL AB procedures and the number of books on the corre
CH3CH4CH6
- 系统辨识与MATLAB仿真程序与剖析,CH3,CH4,CH6程序注释与剖析-system identification and MATLAB simulation and analysis, CH3, CH4, fragments and analysis procedures Notes
systemident
- 系统辨识算法matlab 自动提供输入输出功能 自动辨识-system identification algorithm for automatic Matlab functions of the input and output automatic identification
Adptive
- 神经网络的自适用算法,利用神经网络对系统辨识和跟踪。此程序为c语言和matlab混和编程,由c语言实现算法,由matlab来显示图形。-neural network algorithm applied since the use of neural network system identification and tracking. This procedure c mixed language and Matlab programming, C language algorithms fro
SysIdentify
- 用神经网络对系统辨识(BP网络)。此程序为c语言和matlab混和编程,由c语言实现算法,由matlab来显示图形。-using neural network system identification (BP). This procedure c mixed language and Matlab programming, C language algorithms from Matlab to display graphics.
CAD
- 系统辨识与仿真,使用不同的控制方法(经典控制方法、现代控制方法和计算机控制方法)设计控制器(System identification and simulation, using different control methods (classical control method, modern control method and computer control method) design controller)
FLch7NNeg1
- 该程序为改进的神经网络MBP算法对噪声系统辨识程序(The program is an improved neural network MBP algorithm for noise system identification)
南理工----系统建模与辨识上机仿真辨识作业
- 系统的建模与辨识和上机仿真辨识作业的说明报告(system modeling and identification of computer simulation)
MATLAB神经网络30个案例分析代码
- 对于神经网络系统辨识,采用MATLAB进行仿真验证(For neural network system identification, MATLAB is used for simulation verification)
PImodel
- 这是一个有关PI模型系统辨识的MATLAB程序,并附有MATLAB仿真30个案例以便于学习(This is a PI model identification program)
m文件
- 改进遗传算法优化实例,用于系统辨识优化控制。(An example of improved genetic algorithm is applied to system identification and optimal control.)
系统辨识与自适应控制程序(769-5)
- 状态空间和传递函数的转换,实现状态空间预测的第一步(Transformation of state space and transfer function)
系统辨识与自适应控制(第四章仿真程序)
- 最小方差控制程序 最小方差间接自矫正控制程序 最小方差直接自矫正控制程序(Minimum variance self correction control Generalized minimum variance self correction control Generalized predictive control)
系统建模
- 1.批量最小二乘法算法(也称最小二乘的一次性完成辨识算法) 2.递推最小二乘法算法,应用递推算法对参数估计值进行不断修正,以取得更为准确的参数估计值。 3.粒子群算法(PSO)。粒子群优化算法的基本思想:是通过群体中个体之间的协作和信息共享来寻找最优解.PSO的优点在于简单容易实现并且没有许多参数的调节。 4.BP神经网络,各个神经元仅接收来自前一级的输出,经神经元处理后的信息将输出至下一级,网络中没有反馈,即前一级神经元不会接受后一级神经元的输出。 water tank是原始数据(双容