341 citations · 793 across the 35 of their papers we have counts for
3 papers · 1 filter
Once upon a time step: A closed-loop approach to robust MPC design
Anilkumar Parsi, Marcell Bartos, Amber Srivastava +2
A novel perspective on the design of robust model predictive control (MPC) methods is presented, whereby closed-loop constraint satisfaction is ensured using recursive feasibility…
Deep active learning for nonlinear system identification
Erlend Torje Berg Lundby, Adil Rasheed, Ivar Johan Halvorsen +3
The exploding research interest for neural networks in modeling nonlinear dynamical systems is largely explained by the networks' capacity to model complex input-output relations d…
Learning-based MPC from Big Data Using Reinforcement Learning
Shambhuraj Sawant, Akhil S Anand, Dirk Reinhardt +1
This paper presents an approach for learning Model Predictive Control (MPC) schemes directly from data using Reinforcement Learning (RL) methods. The state-of-the-art learning meth…