Toward implementation of distributed embedded model predictive control
Dr. Dang Doan, Systems Control and Optimization Laboratory, University of Freiburg
20.07.2017, 15:00, room 4981
We present an introduction on the model predictive control (MPC) approach, and an update on the methods and tools developed for embedded optimization-based control and estimation. The computational open-source software packages have enabled "Embedded MPC" on low-cost embedded platforms, as being tested at University of Freiburg. Yet open questions in distributed embedded MPC need to be tackled from the perspective of networked control, these challenges will be discussed in this talk.
Dang Doan obtained a 5-year BEng in Mechatronics from Programme de Formation d'Ingénieurs d'Excellence au Vietnam at HCM City University of Technology (Vietnam), a MSc in Systems and Control and then PhD from Delft University of Technology (The Netherlands). He is currently a post-doc at the University of Freiburg (Germany) with the Georg Forster Fellowship from Alexander von Humboldt Foundation. He is working on distributed convex optimization algorithms, implementation of fast solvers on embedded controllers for nonlinear model predictive control, and estimation and control problems in water systems.