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Publications of year 2025
Articles in journal, book chapters
  1. V. Centorrino, F. Rossi, F. Bullo, and G. Russo. Proximal Gradient Dynamics and Feedback Control for Equality-Constrained Composite Optimization. IEEE Control Systems Letters, March 2025. Note: Submitted. 
    @Article{ vc-fr-fb-gr:25d,
author = {V. Centorrino and F. Rossi and F. Bullo and G. Russo},
title = {Proximal Gradient Dynamics and Feedback Control for Equality-Constrained Composite Optimization},
journal = lcss,
year = 2025,
month = mar,
note = {Submitted},
doi = {10.48550/arXiv.2503.15093} 
}


  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, 70(2):877-888, 2025. 
    @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,
volume = 70,
number = 2,
pages = {877-888},
year = 2025,
doi = {10.1109/TAC.2024.3442952} 
}


  3. J. Cheng, G. Chen, W. Mei, and F. Bullo. Multidimensional Opinion Dynamics with Heterogeneous Bounded Confidences and Random Interactions. Automatica, 172:112002, 2025. 
    @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,
year = 2025,
volume = 172,
pages = 112002,
doi = {10.1016/j.automatica.2024.112002} 
}


  4. A. Davydov, A. V. Proskurnikov, and F. Bullo. Non-Euclidean Contraction Analysis of Continuous-Time Neural Networks. IEEE Transactions on Automatic Control, 70(1):235-250, 2025. 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,
year = 2025,
volume = 70,
number = 1,
pages = {235-250},
keywords = {Contraction Theory, Neural Networks},
arxivdoi = {10.48550/arXiv.2110.08298},
doi = {10.1109/TAC.2024.3422217} 
}


  5. Y. John, G. Diaz-Garcìa, X. Duan, J. R. Marden, and F. Bullo. A Stochastic Surveillance Stackelberg Game: Co-Optimizing Defense Placement and Patrol Strategy. IEEE Transactions on Automatic Control, February 2025. Note: To appear. 
    @Article{ yj-gdg-xd-jrm-fb:23q,
author = {Y. John and G. Diaz-Garc\'ia and X. Duan and J. R. Marden and F. Bullo},
title = {A Stochastic Surveillance {Stackelberg} Game: Co-Optimizing Defense Placement and Patrol Strategy},
journal = tac,
year = 2025,
month = feb,
olddoi = {10.48550/arXiv.2308.14714},
doi = {10.1109/TAC.2025.3549295},
note = {To appear} 
}


Conference articles
  1. T. Guo, A. Ogranovich, Arvind R. Venkatakrishnan, M. Shapiro, F. Bullo, and F. Pasqualetti. Scalable Associative Memory for Robust Pattern Storage. In IEEE Conf. on Decision and Control, March 2025. Note: Submitted. 
    @InProceedings{ tg-ao-arv-ms-fb-fp:25e,
author = {T. Guo and A. Ogranovich and Arvind R. Venkatakrishnan and M. Shapiro and F. Bullo and F. Pasqualetti},
title = {Scalable Associative Memory for Robust Pattern Storage},
booktitle = cdc,
year = 2025,
month = mar,
nodoi = {10.48550/arXiv.2503.20177},
note = {Submitted} 
}


  2. R. Shima, A. Gokhale, A. Davydov, and F. Bullo. Contractivity Analysis and Control Design for Lur'e Systems: Lipschitz, Incrementally Sector Bounded, and Monotone Nonlinearities. In IEEE Conf. on Decision and Control, March 2025. Note: Submitted. 
    @InProceedings{ rs-ag-ad-fb:25a,
author = {R. Shima and A. Gokhale and A. Davydov and F. Bullo},
title = {Contractivity Analysis and Control Design for {Lur'e} Systems: {Lipschitz}, Incrementally Sector Bounded, and Monotone Nonlinearities},
booktitle = cdc,
year = 2025,
month = mar,
doi = {10.48550/arXiv.2503.20177},
nodoi = {10.48550/arXiv.2503.15093},
note = {Submitted} 
}


Miscellaneous
  1. A. K. Musaffar, A. Gokhale, S. Zeng, R. Tadayon, X. Yan, A. Singh, and F. Bullo. Learning to Lie: Reinforcement Learning-Driven Adversarial Attacks on Human-AI Teams and LLMs. ICLR Workshop on Human-AI Coevolution, 2025. 
    @Misc{ akm-ag-sz-rt-xy-as-fb:25c,
title = {Learning to Lie: {Reinforcement} Learning-Driven Adversarial Attacks on Human-{AI} Teams and {LLMs}},
author = {A. K. Musaffar and A. Gokhale and S. Zeng and R. Tadayon and X. Yan and A. Singh and F. Bullo},
howpublished = {ICLR Workshop on Human-AI Coevolution},
year = 2025,
doi = {10.48550/arXiv.2503.21983} 
}



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