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Email

mathieu.granzotto@unimelb.edu.au

Credentials


Position
Research Fellow in Optimal Nonlinear Control
Department of Electrical and Electronic Engineering
Education
PhD
Université de Lorraine
ORCID

0000-0003-3830-8820

Dr Mathieu Granzotto

Research Fellow in Optimal Nonlinear Control
Department of Electrical and Electronic Engineering

16 Scholarly works
0 Projects

HIGHLIGHTS

  • 2025

    Conference Proceedings

    Robust Recurrence of Discrete-Time Infinite-Horizon Stochastic Optimal Control with Discounted Cost
    DOI: 10.1016/j.ifacol.2025.11.103
  • 2025

    Journal article

    Stability Analysis of Stochastic Optimal Control: The Linear Discounted Quadratic Case
    DOI: 10.1109/TAC.2024.3490980
  • 2025

    Conference Proceedings

    An optimistic planning algorithm for switched discrete-time LQR
    DOI: 10.1109/CDC57313.2025.11312761
  • 2025

    Conference Proceedings

    Discounted LQR: Stabilizing (near-)optimal state-feedback laws
    DOI: 10.1109/CDC57313.2025.11312211
  • 2024

    Journal article

    Robust Stability and Near-Optimality for Policy Iteration: For Want of Recursive Feasibility, All is Not Lost
    DOI: 10.1109/TAC.2024.3402941
  • 2024

    Conference Proceedings

    Policy iteration for discrete-time systems with discounted costs: stability and near-optimality guarantees
    DOI: 10.1109/CDC56724.2024.10886474
  • 2023

    Journal article

    Stability analysis of optimal control problems with time-dependent costs
    DOI: 10.1016/j.automatica.2023.111272
Mathieu Granzotto

RECENT SCHOLARLY WORKS

  • 2022

    Journal article

    Stable Near-Optimal Control of Nonlinear Switched Discrete-Time Systems: An Optimistic Planning-Based Approach
    DOI: 10.1109/TAC.2021.3077873
  • 2022

    Conference Proceedings

    Regularizing policy iteration for recursive feasibility and stability
    DOI: 10.1109/CDC51059.2022.9993315
  • 2021

    Journal article

    Finite-horizon discounted optimal control: stability and performance
    DOI: 10.1109/tac.2020.2985904

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