系统辨识 Resources

Showing items tagged with "系统辨识"

This revised edition provides a comprehensive MATLAB simulation-based exploration of fundamental theories and methods in system identification and adaptive control. The book comprises six chapters covering: Introduction, System Identification, Model Reference Adaptive Control, Self-tuning Control (including Generalized Predictive Control), Conventional Control Strategy-based Self-tuning Control, and Nonlinear System Identification and Control (including Neural Networks and Fuzzy Control). Each algorithm is accompanied by practical simulation examples, complete MATLAB code implementations, simulation results, and concise analyses to facilitate deeper understanding and application of core theories and algorithms.

MATLAB 522 views Tagged

System identification experiment solutions using correlation analysis method for impulse response identification, including problem statements, MATLAB M-file programs with detailed code implementations, and comprehensive experimental reports.

MATLAB 220 views Tagged

Efficient implementation for system identification using Recursive Least Squares (RLS) estimation. This algorithm is crucial for determining model order and parameter values. The program implements RLS to compute model order estimates and relevant parameter values with adaptive weight updates.

MATLAB 211 views Tagged

A simple least squares approximation algorithm for system identification, featuring modifiable noise parameters and system parameters, providing source code for system identification and simulation assignments.

MATLAB 256 views Tagged

Implementation of LMS and RLS algorithms for adaptive filtering of random signals through a given system h, using tap weights w for system identification and inverse identification, while generating Mean Square Error (MSE) to evaluate signal recovery performance.

MATLAB 238 views Tagged