Welcome
This website provides MATLAB software and computational tools for system identification and control.
The software includes implementations for modeling, prediction, validation, and control using different computational and machine learning approaches.
Available Software
- System identification
- Neural network models
- Time-series prediction
- Model validation and performance analysis
- Control applications
Source code, documentation, examples, and results will be made available through GitHub.
Available Software
System Identification
- MATLAB implementations for system identification and model estimation.
- Prediction and validation of dynamic systems.
- Comparison of classical and machine-learning-based approaches.
Machine Learning and Neural Network Models
- LSTM
- GRU
- Elman neural networks
- NARX
- Echo State Networks (ESN)
Control Applications
- Computational tools for control-oriented modeling.
- Prediction and control of dynamic systems.
- Performance evaluation using RMSE and other metrics.
Documentation and Results
Documentation, examples, experimental results, and source code will be progressively made available.