在线估计
当有新数据可用时，在线估计算法会更新模型参数和状态估计。您可以使用 Simulink® 模块和命令行执行在线参数估计和在线状态估计。您可以生成 C/C++ 代码并将代码部署到嵌入式目标。如欲了解有关在线估计的详细信息，请参阅What Is Online Estimation?
精选示例
Online State Estimation Using Identified Linear Models
Generate the state-transition and measurement functions for online state and output estimation using linear identification techniques.
Online State Estimation Using Identified Nonlinear Models
Generate the state-transition and measurement functions for online state and output estimation using nonlinear system identification techniques.
Online ARMAX Polynomial Model Estimation
Implement an online polynomial model estimator. You estimate two ARMAX models for a nonlinear chemical reaction process. These models capture the behavior of the process at two operating conditions. The model behavior is identified online and used to adjust the gains of an adaptive PI controller during system operation.
Line Fitting with Online Recursive Least Squares Estimation
Perform online parameter estimation for line-fitting using recursive estimation algorithms at the MATLAB® command line. You capture the time-varying input-output behavior of the hydraulic valve of a continuously variable transmission.
State Estimation Using Time-Varying Kalman Filter
Estimate states of linear systems using time-varying Kalman filters in Simulink.
Parameter and State Estimation in Simulink Using Particle Filter Block
Demonstrates the use of the Particle Filter block in System Identification Toolbox™. A discrete-time transfer function parameter estimation problem is reformulated and recursively solved as a state estimation problem.
