非线性 ARX 模型
App
| 系统辨识 | 从测量数据辨识动态系统模型 |
函数
模块
主题
- 什么是非线性 ARX 模型？
理解非线性 ARX 模型的结构。
- 非线性 ARX 模型可用的映射函数
可从 S 型、小波、树划分、线性、神经网络和自定义网络非线性函数中进行选择。
- Identifying Nonlinear ARX Models
Specify the Nonlinear ARX structure, and configure the estimation algorithm.
- Train NARX Networks Using idnlarx Instead of narxnet
Use
idnlarxas a modern alternative tonarxnetfor estimating nonlinear ARX models. - NARMAX Model Identification
Generate NARMAX models using available model structures and their training algorithms.
- Validate Nonlinear ARX Models
Plot model nonlinearities, analyze residuals, and simulate and predict model output.
- 使用非线性 ARX 模型
对模型输出进行仿真、预测和预报，将非线性 ARX 模型线性化，并将估计好的模型导入 Simulink® 软件。
- Linear Approximation of Nonlinear Black-Box Models
Choose the approach for computing linear approximations, compute operating points for linearization, and linearize your model.
- How the Software Computes Nonlinear ARX Model Output
How the software evaluates the output of nonlinearity estimators and uses this output to compute the model response.
精选示例
A Tutorial on Identification of Nonlinear ARX and Hammerstein-Wiener Models
Identify single-input-single-output (SISO) nonlinear black box models using measured input-output data.
Create Black-Box Models of a Robotic Arm System Using Neural Networks
Use neural networks as the nonlinear function when you model nonlinear ARX and Hammerstein-Wiener models. It compares the nonlinear systems estimated using different types of neural networks, activation functions, and number of layers.
Building Nonlinear ARX Models with Nonlinear and Custom Regressors
Use custom regressors in SISO and MIMO nonlinear ARX (IDNLARX) models.
基于机器学习的双罐系统辨识
本示例演示了如何利用机器学习辨识非线性双储罐系统的黑盒动态模型。
Machine-Learning-Based Identification of Nonlinear Magneto-Rheological Fluid Damper
Estimate a black-box dynamic model of a nonlinear magneto-rheological (MR) fluid damper using machine learning.
Surrogate Modeling Using Gaussian Process-Based NLARX Model
In this example, you replace a hydraulic cavitation cycle model in Simulink with a surrogate nonlinear ARX (NLARX) model to facilitate faster simulation.
Piezoelectric Actuator Model Identification Using Machine Learning
Identify a piezoelectric actuator nonlinear model using machine-learning-based techniques that include support vector machines and Gaussian process functions.
Nonlinear ARX Model of SI Engine Torque Dynamics
Describes modeling the nonlinear torque dynamics of a spark-ignition (SI) engine as a nonlinear ARX model. The identified model can be used for hardware-in-the-loop (HIL) testing, powertrain control, diagnostic, and training algorithm design. For example, you can use the model for aftertreatment control and diagnostics algorithm development. For more information on nonlinear ARX models, see 非线性 ARX 模型.
Predict EV Battery Temperature Using Cascade-Correlation Model
Simulate the battery temperature on an electric vehicle (EV) model by using a cascade-correlation neural network in a nonlinear ARX model.
