Overview

Follow practical tutorials covering how to build models such as NARX, Neural NARX, NFIR and variants. Learn essential steps, from data preparation to model evaluation, using SysIdentPy’s main features.

Looking for more details on NARMAX models? Our book, Nonlinear System Identification and Forecasting: Theory and Practice With SysIdentPy, covers the theory behind models and methods, while showing how to implement them using SysIdentPy through a wide range of examples and benchmarks.

Find practical "how-to" guides on a variety of topics, including selecting basis functions, configuring model parameters, performing predictions, and evaluating model performance. Get straightforward solutions for common modeling tasks.

Explore the complete API reference with detailed documentation of SysIdentPy’s source code. Understand class structures, methods, and parameters to extend and customize functionalities for your projects.