Fault Diagnosis and Identification for TE Model Using KPCA (Kernel Principal Component Analysis)
Fault diagnosis and identification for TE model based on KPCA (Kernel Principal Component Analysis) methodology
Predictive Control Simulation with Adaptive Step Size and System Identification
This self-developed predictive control simulation tool implements adaptive step size prediction and system identification algorithms to enhance simulation accuracy and computational efficiency.
Self-Tuning Generalized Predictive Controller
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.
System Identification for Second-Order Systems Using Least Squares Method
Implementation of least squares method for second-order system identification to extract damping ratio and natural frequency parameters with code-oriented algorithmic explanations
PID Neural Model Based on Wavelet Neural Network Identification
Source code implementation of PID neural model using wavelet neural network identification
BP Neural Network Control System Identification
Original M-file source code for BP neural network-based control system identification, featuring offline training capabilities for simulating sampling point variation curves
Classic Support Vector Machine (SVM) for Classification
A MATLAB implementation of classic Support Vector Machine (SVM) for classification tasks, featuring identification, categorization, and parameter optimization capabilities with detailed algorithmic explanations.