MPC pathtracking implementation with python, solved by PANOC/IPOPT

Underactuated double-pendulum (acrobot) on a cart to play with direct optimal control methods

This provides the python-based simulated moving bed (SMB) optimizer developed by the Process Information Engineering lab at the Department of Materials Process Engineering, Nagoya University.

The Control and Adaptation with Pre-Dictive Sensitivity Enhancements

Sketches of model-based control ideas for gym classic control

Multi-Objective Optimization of 3 output functions based on 5 input variables using epsilon-constraint method in Pyomo. [developed using ChatGPT July 20 Version]