17 citations · 28 across the 13 of their papers we have counts for
9 papers · 1 filter
Learning for MPC with Stability & Safety Guarantees
Sébastien Gros, Mario Zanon
The combination of learning methods with Model Predictive Control (MPC) has attracted a significant amount of attention in the recent literature. The hope of this combination is to…
Primal or Dual Terminal Constraints in Economic MPC? -- Comparison and Insights
Timm Faulwasser, Mario Zanon
This chapter compares different formulations for Economic nonlinear Model Predictive Control (EMPC) which are all based on an established dissipativity assumption on the underlying…
A Gauss-Newton-Like Hessian Approximation for Economic NMPC
Mario Zanon
Economic Model Predictive Control (EMPC) has recently become popular because of its ability to control constrained nonlinear systems while explicitly optimizing a prescribed perfor…
Robust Control Invariance and Communication Scheduling in Lossy Wireless Networked Control Systems
Masoud Bahraini, Mario Zanon, Paolo Falcone +1
In Networked Control Systems (NCS) impairments of the communication channel can be disruptive to stability and performance. In this paper, we consider the problem of scheduling the…
Reinforcement Learning Based on Real-Time Iteration NMPC
Mario Zanon, Vyacheslav Kungurtsev, Sébastien Gros
Reinforcement Learning (RL) has proven a stunning ability to learn optimal policies from data without any prior knowledge on the process. The main drawback of RL is that it is typi…
Reinforcement Learning for Mixed-Integer Problems Based on MPC
Sebastien Gros, Mario Zanon
Model Predictive Control has been recently proposed as policy approximation for Reinforcement Learning, offering a path towards safe and explainable Reinforcement Learning. This ap…