do_mpc

Find below a table of all do-mpc modules. Classes and functions of each module are shown on their respective page.

The core modules are used to create the do-mpc control loop (click on elements to open documentation page):

do-mpc control loop and interconnection of classes.

approximateMPC	Neural network approxmation of the model predictive controller.
controller	Controller for dynamic systems.
data	Storage and handling of data.
differentiator	Tools for NLP differentiation.
estimator	State estimation for dynamic systems.
graphics	Visualization tools for do-mpc.
model	Dynamic modelling with do-mpc.
opcua	A OPC UA wrapper for do-mpc.
optimizer	Shared tools for optimization-based estimation (MHE) and control (MPC).
sampling	Sampling tools for data generation.
simulator	Simulate continous-time ODE/DAE or discrete-time dynamic systems.
sysid	Tools for machine learning and system identification.
tools	Various auxiliary tools for do-mpc.