参数模型 Resources

Showing items tagged with "参数模型"

ARMA model time series analysis method, commonly referred to as time series analysis, is a modal parameter identification technique that processes ordered random vibration response data using parametric models. Parametric models include AR (Autoregressive) models, MA (Moving Average) models, and ARMA (Autoregressive Moving Average) models. This documentation provides a MATLAB implementation for estimating ARMA model parameters with algorithmic explanations and key function descriptions.

MATLAB 320 views Tagged

The self-tuning generalized predictive controller proposed by Clark et al. is a parameter model-based predictive control algorithm featuring time-domain optimized performance metrics integrated with identification and self-tuning mechanisms. This approach addresses inherent limitations in conventional self-tuning control. The provided code implements univariate GPC based on Diophantine equation derivation, featuring modular design for prediction horizon configuration and recursive parameter estimation.

MATLAB 333 views Tagged

MATLAB source code implementations and fundamental usage examples for common higher-order statistical functions, covering parametric model higher-order spectrum estimation, linear prediction models, harmonic retrieval and DOA estimation, nonlinear stochastic processes, Wigner time-frequency analysis, time delay estimation, and more. The code includes practical implementations with detailed algorithm explanations and key function descriptions to facilitate understanding and application.

MATLAB 260 views Tagged

A comprehensive higher-order spectral analysis toolbox featuring common parametric model estimation methods for higher-order spectra, along with Direction of Arrival (DOA) estimation and time delay estimation algorithms.

MATLAB 289 views Tagged