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Publications of year 2023
Books and proceedings
  1. F. Bullo. Contraction Theory for Dynamical Systems. Kindle Direct Publishing, 1.1 edition, 2023. ISBN: 979-8836646806.
    @Book{ fb:23-ctds,
    author = {F. Bullo},
    title = {Contraction Theory for Dynamical Systems},
    year = 2023,
    edition = {{1.1}},
    publisher = {Kindle Direct Publishing},
    isbn = {979-8836646806},
    pdf = {http://motion.me.ucsb.edu/book-ctds},
    oldurl = {http://motion.me.ucsb.edu/book-ctds} 
    }
    


Thesis
  1. F. Seccamonte. Bilevel Optimization in Learning and Control with Applications to Network Flow Estimation. PhD thesis, Mechanical Engineering Department, University of California at Santa Barbara, September 2023. Keyword(s): Contraction Theory, Network Systems, Power Networks.
    @PhDThesis{ fs:23,
    author = {F. Seccamonte},
    title = {Bilevel Optimization in Learning and Control with Applications to Network Flow Estimation},
    school = {Mechanical Engineering Department, University of California at Santa Barbara},
    year = 2023,
    month = sep,
    pdf = {http://motion.me.ucsb.edu/pdf/phd-fs-sep23.pdf},
    keywords = {Contraction Theory, Network Systems, Power Networks} 
    }
    


Articles in journal, book chapters
  1. V. Centorrino, A. Gokhale, A. Davydov, G. Russo, and F. Bullo. Euclidean Contractivity of Neural Networks with Symmetric Weights. IEEE Control Systems Letters, 7:1724-1729, 2023. Keyword(s): Contraction Theory, Neural Networks.
    @Article{ vc-ag-ad-gr-fb:23c,
    author = {V. Centorrino and A. Gokhale and A. Davydov and G. Russo and F. Bullo},
    title = {Euclidean Contractivity of Neural Networks with Symmetric Weights},
    year = 2023,
    journal = lcss,
    volume = 7,
    pages = {1724-1729},
    olddoi = {10.48550/arXiv.2302.13452},
    doi = {10.1109/LCSYS.2023.3278250},
    keywords = {Contraction Theory, Neural Networks} 
    }
    


  2. G. Chen, W. Su, W. Mei, and F. Bullo. Convergence of the Heterogeneous Deffuant-Weisbuch Model: A Complete Proof and Some Extensions. IEEE Transactions on Automatic Control, February 2023. Note: Submitted.
    @Article{ gc-ws-wm-fb:22t,
    author = {G. Chen and W. Su and W. Mei and F. Bullo},
    title = {Convergence of the Heterogeneous {Deffuant}-{Weisbuch} Model: {A} Complete Proof and Some Extensions},
    journal = tac,
    note = {Submitted},
    year = 2023,
    month = feb 
    }
    


  3. J. Cheng, G. Chen, W. Mei, and F. Bullo. Multidimensional Opinion Dynamics with Heterogeneous Bounded Confidences and Random Interactions. Automatica, December 2023. Note: Submitted.
    @Article{ jc-gc-wm-fb:23l,
    author = {J. Cheng and G. Chen and W. Mei and F. Bullo},
    title = {Multidimensional Opinion Dynamics with Heterogeneous Bounded Confidences and Random Interactions},
    oldtitle = {Heterogeneous {Hegselmann}-{Krause} Model with Random Interactions},
    journal = automatica,
    note = {Submitted},
    year = 2023,
    month = dec 
    }
    


  4. P. Cisneros-Velarde and F. Bullo. Distributed Wasserstein Barycenters via Displacement Interpolation. IEEE Transactions on Control of Network Systems, 10(2):785-795, 2023.
    @Article{ pcv-fb:20k,
    title = {Distributed {Wasserstein} Barycenters via Displacement Interpolation},
    author = {P. Cisneros-Velarde and F. Bullo},
    year = 2023,
    journal = tcns,
    volume = 10,
    number = 2,
    pages = {785-795},
    doi = {10.1109/TCNS.2022.3210341},
    pdf = {https://arxiv.org/pdf/2012.08610.pdf} 
    }
    


  5. M. Coraggio, S. Jafarpour, F. Bullo, and M. di Bernardo. Minimax Flow over Acyclic Networks: Distributed Algorithms and Microgrid Application. IEEE Transactions on Control of Network Systems, 10(2):937-946, 2023.
    @Article{ mc-sj-fb-mdb:21o,
    author = {M. Coraggio and S. Jafarpour and F. Bullo and M. {di~Bernardo}},
    title = {Minimax Flow over Acyclic Networks: {D}istributed Algorithms and Microgrid Application},
    journal = tcns,
    year = 2023,
    volume = 10,
    number = 2,
    pages = {937-946},
    doi = {10.1109/TCNS.2022.3212638},
    pdf = {https://arxiv.org/abs/2201.03310} 
    }
    


  6. L. Cothren, F. Bullo, and E. Dall'Anese. Singular Perturbation via Contraction Theory. IEEE Transactions on Automatic Control, October 2023. Note: Submitted. Keyword(s): Contraction Theory.
    @Article{ lc-fb-eda:23g,
    author = {L. Cothren and F. Bullo and E. {Dall'Anese}},
    title = {Singular Perturbation via Contraction Theory},
    journal = tac,
    year = 2023,
    month = oct,
    note = "Submitted",
    keywords = {Contraction Theory},
    doi = {10.48550/arXiv.2310.07966} 
    }
    


  7. A. Davydov, V. Centorrino, A. Gokhale, G. Russo, and F. Bullo. Time-Varying Convex Optimization: A Contraction and Equilibrium Tracking Approach. IEEE Transactions on Automatic Control, June 2023. Note: Submitted. Keyword(s): Contraction Theory.
    @Article{ ad-vc-ag-gr-fb:23f,
    author = {A. Davydov and V. Centorrino and A. Gokhale and G. Russo and F. Bullo},
    title = {Time-Varying Convex Optimization: A Contraction and Equilibrium Tracking Approach},
    oldtitle = {Contracting Dynamics for Time-Varying Convex Optimization},
    journal = tac,
    year = 2023,
    month = jun,
    note = {Submitted},
    doi = {10.48550/arXiv.2305.15595},
    keywords = {Contraction Theory} 
    }
    


  8. A. Davydov, S. Jafarpour, A. V. Proskurnikov, and F. Bullo. Non-Euclidean Monotone Operator Theory and Applications. Journal of Machine Learning Research, June 2023. Note: Submitted. Keyword(s): Contraction Theory, Neural Networks.
    @Article{ ad-sj-avp-fb:23b,
    author = {A. Davydov and S. Jafarpour and A. V. Proskurnikov and F. Bullo},
    title = {Non-{Euclidean} Monotone Operator Theory and Applications},
    journal = jmlr,
    year = 2023,
    month = jun,
    note = {Submitted},
    doi = {10.48550/arXiv.2303.11273},
    keywords = {Contraction Theory, Neural Networks} 
    }
    


  9. A. Davydov, A. V. Proskurnikov, and F. Bullo. Non-Euclidean Contraction Analysis of Continuous-Time Neural Networks. IEEE Transactions on Automatic Control, August 2023. Note: Submitted. Keyword(s): Contraction Theory, Neural Networks.
    @Article{ ad-avp-fb:22q,
    author = {A. Davydov and A. V. Proskurnikov and F. Bullo},
    title = {{Non-Euclidean} Contraction Analysis of Continuous-Time Neural Networks},
    journal = tac,
    month = aug,
    year = 2023,
    keywords = {Contraction Theory, Neural Networks},
    doi = {10.48550/arXiv.2110.08298},
    note = {Submitted} 
    }
    


  10. R. Delabays and F. Bullo. Semicontraction and Synchronization of Kuramoto-Sakaguchi Oscillator Networks. IEEE Control Systems Letters, 7:1566-1571, 2023. Keyword(s): Contraction Theory, Oscillator Networks.
    @Article{ rd-fb:22s,
    author = {R. Delabays and F. Bullo},
    title = {Semicontraction and Synchronization of {Kuramoto}-{Sakaguchi} Oscillator Networks},
    journal = lcss,
    year = 2023,
    volume = 7,
    pages = {1566-1571},
    doi = {10.1109/LCSYS.2023.3275169},
    olddoi = {10.48550/arXiv.2303.10127},
    keywords = {Contraction Theory, Oscillator Networks} 
    }
    


  11. G. Diaz-Garcža, F. Bullo, and J. R. Marden. Distributed Markov chain-based Strategies for Multi-Agent Robotic Surveillance. IEEE Control Systems Letters, 7:2527-2532, 2023.
    @Article{ gdg-fb-jrm:22v,
    title = {Distributed {Markov} chain-based Strategies for Multi-Agent Robotic Surveillance},
    author = {G. Diaz-Garc\'ia and F. Bullo and J. R. Marden},
    journal = lcss,
    year = 2023,
    doi = {10.1109/LCSYS.2023.3288492},
    volume = 7,
    pages = {2527-2532} 
    }
    


  12. A. Gokhale, A. Davydov, and F. Bullo. Contractivity of Distributed Optimization and Nash Seeking Dynamics. IEEE Control Systems Letters, 7:3896-3901, 2023.
    @Article{ ag-ad-fb:23o,
    author = {A. Gokhale and A. Davydov and F. Bullo},
    title = {Contractivity of Distributed Optimization and {Nash} Seeking Dynamics},
    journal = lcss,
    year = 2023,
    volume = 7,
    pages = {3896-3901},
    doi = {10.1109/LCSYS.2023.3341987},
    olddoi = {10.48550/arXiv.2309.05873} 
    }
    


  13. E. Y. Huang, D. Paccagnan, W. Mei, and F. Bullo. Assign and Appraise: Achieving Optimal Performance in Collaborative Teams. IEEE Transactions on Automatic Control, 68(3):1614-1627, 2023.
    @Article{ eyh-dp-wm-fb:19h,
    author = {E. Y. Huang and D. Paccagnan and W. Mei and F. Bullo},
    title = {Assign and Appraise: {A}chieving Optimal Performance in Collaborative Teams},
    journal = tac,
    year = 2023,
    doi = {10.1109/TAC.2022.3156879},
    volume = 68,
    number = 3,
    pages = {1614-1627},
    pdf = {https://arxiv.org/pdf/2008.09817.pdf} 
    }
    


  14. S. Jafarpour, A. Davydov, and F. Bullo. Non-Euclidean Contraction Theory for Monotone and Positive Systems. IEEE Transactions on Automatic Control, 68(9):5653-5660, 2023. Keyword(s): Contraction Theory, Neural Networks.
    @Article{ sj-ad-fb:20r,
    author = {S. Jafarpour and A. Davydov and F. Bullo},
    title = {{Non-Euclidean} Contraction Theory for Monotone and Positive Systems},
    journal = tac,
    year = 2023,
    volume = 68,
    number = 9,
    pages = {5653-5660},
    doi = {10.1109/TAC.2022.3224094},
    pdf = {https://arxiv.org/pdf/2104.01321.pdf},
    keywords = {Contraction Theory, Neural Networks} 
    }
    


  15. W. Liu, J. Sun, G. Wang, F. Bullo, and J. Chen. Data-Driven Resilient Model Predictive Control under Denial-of-Service. IEEE Transactions on Automatic Control, 68(8):4722-4737, 2023.
    @Article{ wl-js-gw-fb-jc:21c,
    title = {Data-Driven Resilient Model Predictive Control under Denial-of-Service},
    author = {W. Liu and J. Sun and G. Wang and F. Bullo and J. Chen},
    fullauthor = {Wenjie Liu and Jian Sun and Gang Wang and Francesco Bullo and Jie Chen},
    year = 2023,
    journal = tac,
    volume = 68,
    number = 8,
    pages = {4722-4737},
    doi = {10.1109/TAC.2022.3209399} 
    }
    


  16. W. Liu, J. Sun, G. Wang, F. Bullo, and J. Chen. Data-Driven Self-triggered Control via Trajectory Prediction. IEEE Transactions on Automatic Control, 68(11):6951-6958, 2023.
    @Article{ wl-js-gw-fb-jc:22e,
    title = {Data-Driven Self-triggered Control via Trajectory Prediction},
    author = {W. Liu and J. Sun and G. Wang and F. Bullo and J. Chen},
    fullauthor = {Wenjie Liu and Jian Sun and Gang Wang and Francesco Bullo and Jie Chen},
    year = 2023,
    journal = tac,
    volume = 68,
    number = 11,
    pages = {6951-6958},
    doi = {10.1109/TAC.2023.3244116} 
    }
    


  17. W. Liu, J. Sun, G. Wang, F. Bullo, and J. Chen. Learning Robust Data-based LQG Controllers from Noisy Data. IEEE Transactions on Automatic Control, 2023. Note: To appear.
    @Article{ wl-js-gw-fb-jc:23e,
    title = {Learning Robust Data-based {LQG} Controllers from Noisy Data},
    author = {W. Liu and J. Sun and G. Wang and F. Bullo and J. Chen},
    year = 2023,
    journal = tac,
    note = {To appear},
    arxivdoi = {10.48550/arXiv.2305.01417},
    doi = {10.1109/TAC.2024.3409749} 
    }
    


  18. A. V. Proskurnikov, A. Davydov, and F. Bullo. The Yakubovich S-Lemma Revisited: Stability and Contractivity in Non-Euclidean Norms. SIAM Journal on Control and Optimization, 61(4):1955-1978, 2023. Keyword(s): Contraction Theory.
    @Article{ avp-ad-fb:22a,
    author = {A. V. Proskurnikov and A. Davydov and F. Bullo},
    title = {The {Yakubovich} {S-Lemma} Revisited: {Stability} and Contractivity in Non-{Euclidean} Norms},
    journal = sicon,
    doi = {10.1137/22M1512600},
    volume = 61,
    number = 4,
    pages = {1955-1978},
    year = 2023,
    keywords = {Contraction Theory},
    olddoi = {10.48550/arXiv.2207.14579} 
    }
    


  19. C. Ravazzi, F. Bullo, and F. Dabbene. Unveiling oligarchy in influence networks from partial information. IEEE Transactions on Control of Network Systems, 10(3):1279-1290, 2023.
    @Article{ cr-fb-fd:21b,
    author = {C. Ravazzi and F. Bullo and F. Dabbene},
    title = {Unveiling oligarchy in influence networks from partial information},
    journal = tcns,
    year = 2023,
    doi = {10.1109/TCNS.2022.3225299},
    volume = 10,
    number = 3,
    pages = {1279-1290} 
    }
    


  20. K. D. Smith and F. Bullo. Contractivity of the Method of Successive Approximations for Optimal Control. IEEE Control Systems Letters, 7:919-924, 2023. Keyword(s): Contraction Theory.
    @Article{ kds-fb:22o,
    author = {K. D. Smith and F. Bullo},
    title = {Contractivity of the Method of Successive Approximations for Optimal Control},
    journal = lcss,
    year = 2023,
    volume = 7,
    pages = {919-924},
    keywords = {Contraction Theory},
    arxivdoi = {10.48550/arXiv.2209.10046},
    doi = {10.1109/LCSYS.2022.3228723} 
    }
    


  21. K. D. Smith and F. Bullo. Convex Optimization of the Basic Reproduction Number. IEEE Transactions on Automatic Control, 68(7):4398-4404, 2023.
    @Article{ kds-fb:21i,
    title = {Convex Optimization of the Basic Reproduction Number},
    author = {K. D. Smith and F. Bullo},
    journal = tac,
    year = 2023,
    volume = 68,
    number = 7,
    pages = {4398-4404},
    doi = {10.1109/TAC.2022.3212012} 
    }
    


  22. Y. Tian, L. Wang, and F. Bullo. How Social Influence affects the Wisdom of Crowds in Influence Networks. SIAM Journal on Control and Optimization, 61(4):2334-2357, 2023.
    @Article{ yt-lw-fb:20q,
    author = {Y. Tian and L. Wang and F. Bullo},
    title = {How Social Influence affects the Wisdom of Crowds in Influence Networks},
    journal = sicon,
    year = 2023,
    doi = {10.1137/22M1492751},
    volume = 61,
    number = 4,
    pages = {2334-2357},
    oldurl = {https://arxiv.org/abs/2204.13610} 
    }
    


Conference articles
  1. V. Centorrino, A. Gokhale, A. Davydov, G. Russo, and F. Bullo. Contractivity of Symmetric Neural Networks for Non-negative Sparse Approximation. In CCS/Italy 2023 Italian Regional Conference on Complex Systems, Naples, Italy, october 2023. Note: Poster Presentation. Keyword(s): Contraction Theory, Neural Networks.
    @InProceedings{ vc-ag-ad-gr-fb:23a1,
    author = {V. Centorrino and A. Gokhale and A. Davydov and G. Russo and F. Bullo},
    title = {Contractivity of Symmetric Neural Networks for Non-negative Sparse Approximation},
    year = 2023,
    month = october,
    address = {Naples, Italy},
    note = {Poster Presentation},
    booktitle = {{CCS/Italy} 2023 Italian Regional Conference on Complex Systems},
    keywords = {Contraction Theory, Neural Networks},
    oldurl = {https://italy.cssociety.org/index.php/2023/05/23/ccs-italy-conference-2023/} 
    }
    


  2. A. Davydov, S. Jaffe, A. K. Singh, and F. Bullo. Retrieving $k$-Nearest Memories with Modern Hopfield Networks. In 2023 NEURIPS Workshop on Associative Memory and Hopfield Networks, December 2023.
    @InProceedings{ ad-sj-aks-fb:23w,
    title = {Retrieving $k$-Nearest Memories with Modern {Hopfield} Networks},
    author = {A. Davydov and S. Jaffe and A. K. Singh and F. Bullo},
    month = dec,
    year = 2023,
    booktitle = {2023 NEURIPS Workshop on Associative Memory and Hopfield Networks} 
    }
    


  3. G. Diaz-Garcža, F. Bullo, and J. R. Marden. Beyond the Enemy-of-my-Enemy Alliances: Coalitions in Networked Contest Games. In IEEE Conf. on Decision and Control, Singapore, December 2023.
    @InProceedings{ gdg-fb-jrm:23j,
    author = {G. Diaz-Garc\'ia and F. Bullo and J. R. Marden},
    title = {Beyond the "Enemy-of-my-Enemy" Alliances: {Coalitions} in Networked Contest Games},
    year = 2023,
    month = dec,
    booktitle = cdc,
    address = {Singapore},
    doi = {10.1109/CDC49753.2023.10383807} 
    }
    


  4. S. Jaffe, A. K. Singh, and F. Bullo. IDKM: Memory Efficient Neural Network Quantization via Implicit Differentiable $k$-Means. In 2023 ICLR Workshop on Sparsity in Neural Networks, May 2023. Keyword(s): Neural Networks.
    @InProceedings{ sj-aks-fb:22y,
    author = {S. Jaffe and A. K. Singh and F. Bullo},
    title = {{IDKM:} {Memory} Efficient Neural Network Quantization via Implicit Differentiable $k$-Means},
    year = 2023,
    month = may,
    booktitle = {2023 ICLR Workshop on Sparsity in Neural Networks},
    nodoi = {10.48550/arXiv.2208.03889},
    keywords = {Neural Networks},
    oldurl = {https://icml.cc/virtual/2022/workshop/13473} 
    }
    


  5. F. Seccamonte, A. K. Singh, and F. Bullo. Inference of Infrastructure Network Flows via Physics-Inspired Implicit Neural Networks. In IEEE Conf. on Control Technology and Applications, Bridgetown, Barbados, August 2023. Keyword(s): Neural Networks.
    @InProceedings{ fs-fb-aks:22j,
    title = {Inference of Infrastructure Network Flows via Physics-Inspired Implicit Neural Networks},
    author = {F. Seccamonte and A. K. Singh and F. Bullo},
    booktitle = ccta,
    address = {Bridgetown, Barbados},
    month = aug,
    year = 2023,
    keywords = {Neural Networks},
    doi = {10.1109/CCTA54093.2023.10252477} 
    }
    



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