Sebastien Gros

Professor

NTNU

Norway

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Professor Sebastien Gros is a faculty member at NTNU, Norway. His research areas encompass control theory, optimization, and artificial intelligence applications, with a focus on systems such as automated medical devices and electric vehicles. Recent articles highlight his work on predictive control methods and optimization strategies in various engineering domains.

Articles (16)

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2025

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2025

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2025

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2025

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2024

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2023

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2023

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2023

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2023

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2023

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2023

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2023

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2022

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2022

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2022

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2022

Collaborators (10)

Torsten Wik

Professor at Chalmers University of Technology

Chalmers University of Technology

SWEDEN

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Paolo Falcone

Associate Professor

University of Modena and Reggio Emilia

ITALY

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Anders Fougner

Associate Professor

Norwegian University of Science and Technology

NORWAY

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Petar Durdevic

Aalborg University

DENMARK

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Nikolce Murgovski

Professor

Chalmers University of Technology

SWEDEN

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Sangjun Bae

Head/Assistant Professor

Sejong University

SOUTH KOREA

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Daniel Ortiz-Arroyo

Aalborg University

DENMARK

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Mario Zanon

Full Professor in Automation

IMT School for Advanced Studies Lucca

ITALY

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Balazs Kulcsar

Prof. at Chalmers University of Technology

Chalmers University of Technology

SWEDEN

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Jan Tommy Gravdahl

Norwegian University of Science and Technology

NORWAY

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Sebastien Gros

Research Interests

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Articles (16)

Dual hormone predictive control for a fully automated intraperitoneal artificial pancreas: Preclinical evaluation in pigs

Application of Soft Actor-Critic algorithms in optimizing wastewater treatment with time delays integration

Tube MPC With Time-Varying Cross-Sections

Once Upon a Time Step: A Closed-Loop Approach to Robust MPC Design

Energy Optimal Attitude Control and Task Execution for a Solar-Powered Spacecraft

Distributed Eco-Driving Control of a Platoon of Electric Vehicles Through Riccati Recursion

Numerical Strategies for Mixed-Integer Optimization of Power-Split and Gear Selection in Hybrid Electric Vehicles

Equivalence of Optimality Criteria for Markov Decision Process and Model Predictive Control

Interpretable Battery Cycle Life Range Prediction Using Early Cell Degradation Data

Estimation and Prediction of Glucose Appearance Rate for Use in a Fully Closed-Loop Dual-Hormone Intraperitoneal Artificial Pancreas

Variance-Based Exploration for Learning Model Predictive Control

A Learning-Based Model Predictive Control Strategy for Home Energy Management Systems

A Semidistributed Interior Point Algorithm for Optimal Coordination of Automated Vehicles at Intersections

Bilevel Optimization for Bunching Mitigation and Eco-Driving of Electric Bus Lines

Can AI Abuse Personal Information in an EV Fast-Charging Market?

Optimal Model-Based Trajectory Planning With Static Polygonal Constraints

Collaborators (10)

Torsten Wik

Paolo Falcone

Anders Fougner

Petar Durdevic

Nikolce Murgovski

Sangjun Bae

Daniel Ortiz-Arroyo

Mario Zanon

Balazs Kulcsar

Jan Tommy Gravdahl

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