Process Control

PySINDy is a Python package for inferring dynamical equations from measurement data using sparse system identification, with optional optimization methods for constrained and Bayesian regression.

Process Control · Digital Twins

SysIdentPy is a Python toolkit for identifying nonlinear dynamic systems with NARMAX-family models, combining structure selection, parameter estimation, simulation and forecasting.

Process Control · Predictive Maintenance

GEKKO is a Python modeling and optimization toolkit for differential algebraic systems, supporting process simulation, parameter estimation, mixed-integer optimization, and nonlinear predictive control.

Process Optimization · Process Control

do-mpc is a Python toolbox for nonlinear and robust model predictive control, moving horizon estimation, and simulation, with support for differential algebraic models and uncertainty.

Process Control · Digital Twins