搜索资源列表
Matlab
- 基於 Matlab 系统辨识工具箱的系统建模-Matlab System Identification Toolbox for System Modeling
RLS
- 系统辨识实现已知输入和输出信号，求系统函数的幅频响应等参数-System identification to achieve a known input and output signals, find the system function of parameters such as amplitude-frequency response
matlabsystemindetfition
- matlab系统辨识，m序列的产生，逆m序列的产生,白噪声的产生-matlab system identification, m sequence generation, reverse m sequence generation, white noise generation
MATLAB
- 系统辨识的作业，是自己写的，有需要的可以参考参考-System identification of the work is your own writing, there is a need that can refer to reference
matlab
- 【1】随机序列产生程序 【2】白噪声产生程序 【3】M序列产生程序 【4】二阶系统一次性完成最小二乘辨识程序 【5】实际压力系统的最小二乘辨识程序 【6】递推的最小二乘辨识程序 【7】增广的最小二乘辨识程序 【8】梯度校正的最小二乘辨识程序 【9】递推的极大似然辨识程序 【10】Bayes辨识程序 【11】改进的神经网络MBP算法对噪声系统辨识程序 【12】多维非线性函数辨识程序的Matlab程序 【13】模糊神经网络解耦M
xitongbianshi
- 实现了系统辨识的算法，Matlab实现了产生一均值为0，方差为1的噪声，给出系统辨识的效果。-To achieve the system identification algorithm, Matlab realized generated a mean 0 and variance of a noise, the effect of system identification is given.
FPID_control_Identified_Model_V
- 实际系统辨识高增益一阶系统的PID型模糊控制，可是小论文的资料！欢迎交流！-Identification of the actual system of high-gain first-order system PID fuzzy control, but little information on the paper! Welcome to exchange!
SVMmatlab
- 在MATLAB运行环境下，基于支持向量机的非线性系统辨识程序！-Run in the MATLAB environment, based on support vector machines for nonlinear system identification procedure!
lizi1
- 采用白噪声作为输入信号，用递推最小二乘法来进行系统辨识-Using white noise as input signal, using recursive least squares method for system identification
m352l
- 用BP进行非线性动态系统辨识-BP carried out using nonlinear dynamic system identification
PRBS_SI
- 系统辨识程序仿真，研究PRBS的周期数和被辨识参数个数的关系，含PPT课件-System identification process simulation to study the PRBS number of cycles and the relationship between the number of parameters were identified, including PPT Courseware
SystemIdentification
- 系统辨识实验解答，利用相关分析法辨识脉冲响应，包括题目、M文件程序以及完整的实验报告。-System identification experiments to answer, using correlation analysis, identification of impulse response, including the subject, M documentation procedures, and complete lab report.
m355z
- 基于PID网络的非线性动态系统辨识。用于对非线性系统的辨识-PID-based nonlinear dynamic system identification network. For the identification of nonlinear systems
vol_nonlinear
- 在matlab中利用Volterra非线形滤波器进行系统辨识，并带有一个应用示例。代码带有详细注释。-In the matlab filter using Volterra non-linear system identification, and with an application example. Code with detailed comments.
chap9
- 神经网络控制，基于神经网络的系统辨识，神经网络与其他算法相结合，控制系统的故障诊断-Neural network control, system identification based on neural networks, neural networks combined with other algorithms, control system fault diagnosis
bianshi_kalman
- 用kalman算法实现系统辨识，最终实现滤波，具有精度高，收敛快的特点-System identification algorithm using kalman, and ultimately the filter, with high precision, fast convergence characteristics
BP_identification
- BP神经网络用于系统辨识的例子，给出了程序和结果-BP network used for system identification
fuzzycontrol
- 采用最小二乘法进行系统辨识，本例是一个简短的例程序。-System identification using the least square method, in this case is a short example program.
Robot-program
- 《机器人控制系统的设计与MATLAB仿真》一书所有的matlab仿真程序。本书系统地介绍了机器人控制的几种先进设计方法，是作者多年来从事机器人控制系统教学和科研工作的结晶，同时融入了国内外同行近年来所取得的最新成果。全书以机器人为对象，共分10章，包括先进PID控制、神经网络自适应控制、模糊自适应控制、迭代学习控制、反演控制、滑膜控制、自适应鲁棒控制、系统辨识和路径规划。-" Robot Control System Design and MATLAB simulation,"
BPbianshi
- 阶跃响应曲线下的bp神经网络的系统辨识，效果良好，能很好的辨识系统。-Bp step response curve of the neural network system identification, good results can be a good identification system.