Publications

  • On the asymptotic behavior of the Douglas-Rachford and proximal-point algorithms for convex optimization
    G. Banjac and J. Lygeros
    Optimization Letters, 2021.
    BibTeX  URL  

    @article{BL:2021,
  author = {G. Banjac and J. Lygeros},
  title = {On the asymptotic behavior of the {D}ouglas-{R}achford and proximal-point algorithms for convex optimization},
  journal = {Optimization Letters},
  year = {2021},
  url = {https://doi.org/10.1007/s11590-021-01706-3},
  doi = {10.1007/s11590-021-01706-3}
}

  • On the minimal displacement vector of the Douglas-Rachford operator
    G. Banjac
    Operations Research Letters, vol. 49, no. 2, pp. 197-200, March 2021.
    BibTeX  URL  Preprint  

    @article{Ba:2021,
  author = {G. Banjac},
  title = {On the minimal displacement vector of the {D}ouglas-{R}achford operator},
  journal = {Operations Research Letters},
  year = {2021},
  volume = {49},
  number = {2},
  pages = {197-200},
  url = {https://doi.org/10.1016/j.orl.2021.01.003},
  doi = {10.1016/j.orl.2021.01.003}
}

  • Improving tractability of real-time control schemes via simplified S-lemma
    G. Banjac, J. Zhen, D. den Hertog and J. Lygeros
    December 2020.
    BibTeX  Preprint  

    @article{BZdHL:2020,
  author = {G. Banjac and J. Zhen and D. den Hertog and J. Lygeros},
  title = {Improving tractability of real-time control schemes via simplified {S}-lemma},
  year = {2020}
}

  • OSQP: an operator splitting solver for quadratic programs
    B. Stellato, G. Banjac, P. Goulart, A. Bemporad and S. Boyd
    Mathematical Programming Computation, vol. 12, no. 4, pp. 637-672, December 2020.
    BibTeX  URL  Preprint  Code  MPC Best Paper of the Year  

    @article{SBGBB:2020,
  author = {B. Stellato and G. Banjac and P. Goulart and A. Bemporad and S. Boyd},
  title = {{OSQP}: an operator splitting solver for quadratic programs},
  journal = {Mathematical Programming Computation},
  year = {2020},
  volume = {12},
  number = {4},
  pages = {637-672},
  url = {https://doi.org/10.1007/s12532-020-00179-2},
  doi = {10.1007/s12532-020-00179-2}
}

  • GPU acceleration of ADMM for large-scale quadratic programming
    M. Schubiger, G. Banjac and J. Lygeros
    Journal of Parallel and Distributed Computing, vol. 144, pp. 55-67, October 2020.
    BibTeX  URL  Code  

    @article{SBL:2020,
  author = {M. Schubiger and G. Banjac and J. Lygeros},
  title = {{GPU} acceleration of {ADMM} for large-scale quadratic programming},
  journal = {Journal of Parallel and Distributed Computing},
  year = {2020},
  volume = {144},
  pages = {55-67},
  url = {https://doi.org/10.1016/j.jpdc.2020.05.021},
  doi = {10.1016/j.jpdc.2020.05.021}
}

  • Real-time solution to quadratically constrained quadratic programs for predictive converter control
    Z. Chen, R. Verschueren, S. Almér and G. Banjac
    in IFAC World Congress, Berlin, Germany, July 2020.
    BibTeX  

    @inproceedings{CVAB:2020,
  author = {Z. Chen and R. Verschueren and S. Alm{\'e}r and G. Banjac},
  title = {Real-time solution to quadratically constrained quadratic programs for predictive converter control},
  booktitle = {IFAC World Congress},
  year = {2020}
}

  • A data-driven policy iteration scheme based on linear programming
    G. Banjac and J. Lygeros
    in IEEE Conference on Decision and Control (CDC), Nice, France, December 2019.
    BibTeX  URL  Preprint  

    @inproceedings{BL:2019a,
  author = {G. Banjac and J. Lygeros},
  title = {A data-driven policy iteration scheme based on linear programming},
  booktitle = {IEEE Conference on Decision and Control (CDC)},
  year = {2019},
  url = {https://doi.org/10.1109/CDC40024.2019.9029405},
  doi = {10.1109/CDC40024.2019.9029405}
}

  • Stochastic convex optimization for provably efficient apprenticeship learning
    A. Kamoutsi, G. Banjac and J. Lygeros
    in NeurIPS 2019 Optimization Foundations for Reinforcement Learning Workshop, Vancouver, Canada, December 2019.
    BibTeX  Preprint  

    @inproceedings{KBL:2019,
  author = {A. Kamoutsi and G. Banjac and J. Lygeros},
  title = {Stochastic convex optimization for provably efficient apprenticeship learning},
  booktitle = {NeurIPS 2019 Optimization Foundations for Reinforcement Learning Workshop},
  year = {2019}
}

  • Infeasibility detection in the alternating direction method of multipliers for convex optimization
    G. Banjac, P. Goulart, B. Stellato and S. Boyd
    Journal of Optimization Theory and Applications, vol. 183, no. 2, pp. 490-519, November 2019.
    BibTeX  URL  Preprint  

    @article{BGSB:2019,
  author = {G. Banjac and P. Goulart and B. Stellato and S. Boyd},
  title = {Infeasibility detection in the alternating direction method of multipliers for convex optimization},
  journal = {Journal of Optimization Theory and Applications},
  year = {2019},
  volume = {183},
  number = {2},
  pages = {490-519},
  url = {https://doi.org/10.1007/s10957-019-01575-y},
  doi = {10.1007/s10957-019-01575-y}
}

  • Decentralized resource allocation via dual consensus ADMM
    G. Banjac, F. Rey, P. Goulart and J. Lygeros
    in American Control Conference (ACC), Philadelphia, PA, USA, July 2019.
    BibTeX  URL  Preprint  

    @inproceedings{BRGL:2019,
  author = {G. Banjac and F. Rey and P. Goulart and J. Lygeros},
  title = {Decentralized resource allocation via dual consensus {ADMM}},
  booktitle = {American Control Conference (ACC)},
  year = {2019},
  url = {https://doi.org/10.23919/ACC.2019.8814988},
  doi = {10.23919/ACC.2019.8814988}
}

  • Tight global linear convergence rate bounds for operator splitting methods
    G. Banjac and P. Goulart
    IEEE Transactions on Automatic Control, vol. 63, no. 12, pp. 4126-4139, December 2018.
    BibTeX  URL  

    @article{BG:2018,
  author = {G. Banjac and P. Goulart},
  title = {Tight global linear convergence rate bounds for operator splitting methods},
  journal = {IEEE Transactions on Automatic Control},
  year = {2018},
  volume = {63},
  number = {12},
  pages = {4126-4139},
  url = {https://doi.org/10.1109/TAC.2018.2808442},
  doi = {10.1109/TAC.2018.2808442}
}

  • On the convergence of a regularized Jacobi algorithm for convex optimization
    G. Banjac, K. Margellos and P. Goulart
    IEEE Transactions on Automatic Control, vol. 63, no. 4, pp. 1113-1119, April 2018.
    BibTeX  URL  

    @article{BMG:2018,
  author = {G. Banjac and K. Margellos and P. Goulart},
  title = {On the convergence of a regularized {J}acobi algorithm for convex optimization},
  journal = {IEEE Transactions on Automatic Control},
  year = {2018},
  volume = {63},
  number = {4},
  pages = {1113-1119},
  url = {https://doi.org/10.1109/TAC.2017.2737319},
  doi = {10.1109/TAC.2017.2737319}
}

  • Embedded code generation using the OSQP solver
    G. Banjac, B. Stellato, N. Moehle, P. Goulart, A. Bemporad and S. Boyd
    in IEEE Conference on Decision and Control (CDC), Melbourne, Australia, December 2017.
    BibTeX  URL  Code  

    @inproceedings{BSMGBB:2017,
  author = {G. Banjac and B. Stellato and N. Moehle and P. Goulart and A. Bemporad and S. Boyd},
  title = {Embedded code generation using the {OSQP} solver},
  booktitle = {IEEE Conference on Decision and Control (CDC)},
  year = {2017},
  url = {https://doi.org/10.1109/CDC.2017.8263928},
  doi = {10.1109/CDC.2017.8263928}
}

  • A novel approach for solving convex problems with cardinality constraints
    G. Banjac and P. Goulart
    in IFAC World Congress, Toulouse, France, July 2017.
    BibTeX  URL  

    @inproceedings{BG:2017,
  author = {G. Banjac and P. Goulart},
  title = {A novel approach for solving convex problems with cardinality constraints},
  booktitle = {IFAC World Congress},
  year = {2017},
  url = {https://doi.org/10.1016/j.ifacol.2017.08.2174},
  doi = {10.1016/j.ifacol.2017.08.2174}
}

  • Global linear convergence in operator splitting methods
    G. Banjac and P. Goulart
    in IEEE Conference on Decision and Control (CDC), Las Vegas, NV, USA, December 2016.
    BibTeX  URL  

    @inproceedings{BG:2016,
  author = {G. Banjac and P. Goulart},
  title = {Global linear convergence in operator splitting methods},
  booktitle = {IEEE Conference on Decision and Control (CDC)},
  year = {2016},
  url = {https://doi.org/10.1109/CDC.2016.7798275},
  doi = {10.1109/CDC.2016.7798275}
}

  • Adaptable urban water demand prediction system
    G. Banjac, M. Vašak and M. Baotić
    Water Science and Technology: Water Supply, vol. 15, no. 5, pp. 958-964, October 2015.
    BibTeX  URL  

    @article{BVB:2015,
  author = {G. Banjac and M. Va\v{s}ak and M. Baoti{\'c}},
  title = {Adaptable urban water demand prediction system},
  journal = {Water Science and Technology: Water Supply},
  year = {2015},
  volume = {15},
  number = {5},
  pages = {958-964},
  url = {https://doi.org/10.2166/ws.2015.048},
  doi = {10.2166/ws.2015.048}
}

  • Water use disaggregation based on classification of feature vectors extracted from smart meter data
    M. Vašak, G. Banjac and H. Novak
    in Computing and Control for the Water Industry Conference, Leicester, UK, September 2015.
    BibTeX  URL  

    @inproceedings{VBN:2015,
  author = {M. Va\v{s}ak and G. Banjac and H. Novak},
  title = {Water use disaggregation based on classification of feature vectors extracted from smart meter data},
  booktitle = {Computing and Control for the Water Industry Conference},
  year = {2015},
  url = {https://doi.org/10.1016/j.proeng.2015.08.992},
  doi = {10.1016/j.proeng.2015.08.992}
}

  • Dynamic day-ahead water pricing based on smart metering and demand prediction
    M. Vašak, G. Banjac, M. Baotić and J. Matuško
    in Conference on Water Distribution System Analysis, Bari, Italy, July 2014.
    BibTeX  URL  

    @inproceedings{VBBM:2014,
  author = {M. Va\v{s}ak and G. Banjac and M. Baoti{\'c} and J. Matu\v{s}ko},
  title = {Dynamic day-ahead water pricing based on smart metering and demand prediction},
  booktitle = {Conference on Water Distribution System Analysis},
  year = {2014},
  url = {https://doi.org/10.1016/j.proeng.2014.11.221},
  doi = {10.1016/j.proeng.2014.11.221}
}

  • Load forecast of a university building for application in microgrid power flow optimization
    M. Gulin, M. Vašak, G. Banjac and T. Tomiša
    in IEEE International Energy Conference, Dubrovnik, Croatia, May 2014.
    BibTeX  URL  

    @inproceedings{GVBT:2014,
  author = {M. Gulin and M. Va\v{s}ak and G. Banjac and T. Tomi\v{s}a},
  title = {Load forecast of a university building for application in microgrid power flow optimization},
  booktitle = {IEEE International Energy Conference},
  year = {2014},
  url = {https://doi.org/10.1109/ENERGYCON.2014.6850579},
  doi = {10.1109/ENERGYCON.2014.6850579}
}

  • Tuning of model predictive controller for wind turbine load reduction
    G. Banjac, V. Spudić and M. Baotić
    in International Convention on Information and Communication Technology, Electronics and Microelectronics, Opatija, Croatia, May 2013.
    BibTeX  URL  

    @inproceedings{BSB:2013,
  author = {G. Banjac and V. Spudi{\'c} and M. Baoti{\'c}},
  title = {Tuning of model predictive controller for wind turbine load reduction},
  booktitle = {International Convention on Information and Communication Technology, Electronics and Microelectronics},
  year = {2013},
  url = {https://ieeexplore.ieee.org/document/6596388}
}