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20172024
most citedSafe Reinforcement Learning Using Robust MPC

341 citations · 769 across the 30 of their papers we have counts for

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5 papers · 1 filter

math.OC2024

Optimality Conditions for Model Predictive Control: Rethinking Predictive Model Design

Akhil S Anand, Arash Bahari Kordabad, Mario Zanon +1

Optimality is a critical aspect of Model Predictive Control (MPC), especially in economic MPC. However, achieving optimality in MPC presents significant challenges, and may even be…

math.OC2021★ 7 cited

Computation of Input Disturbance Sets for Constrained Output Reachability

Sampath Kumar Mulagaleti, Alberto Bemporad, Mario Zanon

Linear models with additive unknown-but-bounded input disturbances are extensively used to model uncertainty in robust control systems design. Typically, the disturbance set is eit…

math.OC2019★ 21 cited

A Parallel Decomposition Scheme for Solving Long-Horizon Optimal Control Problems

Sungho Shin, Timm Faulwasser, Mario Zanon +1

We present a temporal decomposition scheme for solving long-horizon optimal control problems. In the proposed scheme, the time domain is decomposed into a set of subdomains with pa…

math.OC2017★ 1 cited

A Feasibility-Enforcing Primal-Decomposition SQP Algorithm for Optimal Vehicle Coordination

Mario Zanon, Robert Hult, Sebastien Gros +1

In this paper we consider the problem of coordinating autonomous vehicles approaching an intersection. We cast the problem in the distributed optimisation framework and propose an…

math.OC2017★ 16 cited

Optimal Scheduling of Downlink Communication for a Multi-Agent System with a Central Observation Post

Mario Zanon, Themistoklis Charalambous, Henk Wymeersch +1

In this paper, we consider a set of agents, which may receive an observation of their state by a central observa- tion post via a shared wireless network. The aim of this work is t…