Explore MATLAB source code curated for "递推最小二乘法" with clean implementations, documentation, and examples.
System simulation and identification techniques including Recursive Least Squares (RLS) and advanced identification theories, suitable for system simulation applications with practical MATLAB implementation examples.
Estimating liquid level height using Recursive Least Squares method with MATLAB implementation and algorithm explanation
Adaptive control and self-tuning system parameter estimation using MATLAB, featuring recursive least squares algorithm for real-time parameter identification and automatic controller adjustment
Key identification algorithms in system identification including Least Squares Method, Recursive Least Squares, Generalized Least Squares, and Variable Forgetting Factor Recursive Algorithm, with implementation insights.
System identification using Recursive Least Squares method, including model building in Simulink environment and implementation source code with parameter estimation algorithms
Implementation of recursive least squares method to estimate coefficients b0, b1, ..., bn in polynomial y(i) = b0 + b1 * x + b2 * x^2 + b3 * x^3 + ... + bn * x^n, with algorithm explanation and code implementation considerations.
Implementation of parameter estimation using unweighted recursive least squares method for system identification and simulation, featuring algorithm explanation and key MATLAB function descriptions
Parameter identification using recursive least squares method with 6-bit M-sequence as input signal and 300 iterations for robust estimation