This repository is a fork from forgi86/pyMPC with an additional feature that replaces OSQP with ProxQP. Preliminary experiments on examples/example_inverted_pendulum.py sometime ran faster than OSQP.

pyMPC requires the following packages:

• numpy
• scipy
• OSQP
• proxsuite
• matplotlib

This code snippets illustrates the use of the MPCController class:

from pyMPC.mpc import MPCController

K = MPCController(Ad,Bd,Np=20, x0=x0,xref=xref,uminus1=uminus1,
                  Qx=Qx, QxN=QxN, Qu=Qu,QDu=QDu,
                  xmin=xmin,xmax=xmax,umin=umin,umax=umax,Dumin=Dumin,Dumax=Dumax)
K.setup()

...

xstep = x0
for i in range(nsim): 
  uMPC = K.output()
  xstep = Ad.dot(xstep) + Bd.dot(uMPC)  # system simulation steps
  K.update(xstep) # update with measurement

Full working examples are given in the examples folder:

• Point mass with input force and friction
• Inverted pendulum on a cart
• Inverted pendulum on a cart with kalman filter

This code have been directly source from forgi86/pyMPC. We are grateful to the original authors and maintainers for their work.