搜索资源列表
Second_Order
- 应用最小二乘法对二阶系统进行辨识，得到相关参数-Application of least squares, second order system identification, are relevant parameters
sysrecognition
- 最小二乘法系统辨识，包括系统阶次的辨识等，希望大家喜欢-Least squares system identification, including the identification of system order and so on, hope you like
zuixiaoerchengsuanfabianshi
- 输入信号采用4阶M序列的二阶系统的最小二乘一次完成算法辨识程序-Input signal using M sequence of order 4 second-order system least squares algorithm for a complete identification process
m352l
- 用BP进行非线性动态系统辨识-BP carried out using nonlinear dynamic system identification
trn_2in
- 模型辨识 模糊神经网络 T-S模型 输入输出 前提参数 结论参数-Model Identification of TS Fuzzy Neural Network model input and output parameters of the premise parameters Conclusion
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
ma_work
- 二阶数学模型的NLJ辨识MATLAB实现，仿真结果验证了NLJ在系统辨识中的可操作性.-Identification of second-order mathematical model of the NLJ MATLAB implementation, simulation results show the NLJ in the System Identification operability
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.
MATLAB
- 用于系统辨识的matlab6.0程序，对学习系统辨识的研究人员很有帮助-System Identification matlab program
xijun
- 本文提出了一种新的基于细菌生存优化(Bacterial Foraging Optimization –BFO)的非线性模型辨识方法。它是利用群集智能仿生BFO算法对一类Hammerstein系统进行辨识，从而估计出它的参数模型-This paper presents a new optimization based on bacterial survival (Bacterial Foraging Optimization-BFO) nonlinear model identification
MATLAB_based_parameter_identification_and_simulati
- 基于MATLAB的最小二乘法参数辨识与仿真-MATLAB-based parameter identification and simulation of least squares
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
pso-bpbianshi
- 一种结合PSO及改进BP网络的辨识方法 很好的微粒群应用算法辨识效果很好-A combination of PSO and the improved BP network identification method of application of particle swarm algorithm is a very good very good identification results
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
1
- 模型阶次的辨识,各种模型参数辨识方法一般需要假定模型的结构已知，实际上在多数情况下这是不现实的。当没有模型结构的先验知识时，需要利用系统的输入输出数据来确定模型的结构。-Identification of various model parameters generally need to assume that the model structure is known, in fact, in most cases this is unrealistic. When no prior know
shiliang-sensorless
- 异步电机的精确控制和速度辨识是交流传动系统中重要问题。该仿真模型在异步电机的数学模型、矢量控制原理及速度辨识算法的基础上，利用Matlab/Simulink仿真软件中SimPowerSystems模块，构建了基于MRAS无速度传感器的异步电机矢量控制系统。-The precise control and the speed identification of AC motor are the very important issues on AC drive system. In this pa
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
byes
- 最小二乘的贝叶斯参数辨识 可以直接运行-Bayesian least squares parameter identification can be run directly