OPTIMAL CONTROL & OBSERVATION
Today’s technologies allow to access to more and more powerful computation systems.
This way it is now possible to economically implement controllers and observers able to perform complex sensor-fusion techniques and to calculate predictions and corrections in real-time in order to boost the efficience of automation and measurement systems.
Microtecna has a vast experience in these mathematical approaches and can apply them in various application fields, including:
Navigation based on Extended Kalman Filtering
Model Predictive Control (MPC)
Reinforcement Learning (RL)