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Publications of year 2024
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F. Bullo.
Contraction Theory for Dynamical Systems.
Kindle Direct Publishing,
1.2 edition,
2024.
ISBN: 979-8836646806.
[bibtex-entry]
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F. Bullo.
Lectures on Network Systems.
Kindle Direct Publishing,
1.7 edition,
April 2024.
ISBN: 978-1986425643.
[bibtex-entry]
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S. Jaffe.
Dynamical Systems and Neural Networks: From Implicit Models to Memory Retrieval.
PhD thesis,
Computer Science Department, University of California at Santa Barbara,
September 2024.
Keyword(s): Contraction Theory,
Network Systems,
Machine Learning.
[bibtex-entry]
Articles in journal, book chapters
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V. Centorrino,
F. Bullo,
and G. Russo.
Modelling and Contractivity of Neural-Synaptic Networks with Hebbian Learning.
Automatica,
164:111636,
2024.
Keyword(s): Contraction Theory,
Neural Networks.
[bibtex-entry]
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V. Centorrino,
A. Davydov,
A. Gokhale,
G. Russo,
and F. Bullo.
On Weakly Contracting Dynamics for Convex Optimization.
IEEE Control Systems Letters,
8:1745-1750,
2024.
Keyword(s): Contraction Theory,
Neural Networks.
[bibtex-entry]
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V. Centorrino,
A. Gokhale,
A. Davydov,
G. Russo,
and F. Bullo.
Positive Competitive Networks for Sparse Reconstruction.
Neural Computation,
36(6):1163–1197,
2024.
Keyword(s): Contraction Theory,
Neural Networks.
[bibtex-entry]
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L. Cothren,
F. Bullo,
and E. Dall'Anese.
Online Feedback Optimization and Singular Perturbation via Contraction Theory.
SIAM Journal on Control and Optimization,
August 2024.
Note: Submitted.
Keyword(s): Contraction Theory.
[bibtex-entry]
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O. Dalin,
R. Ofir,
E. Bar Shalom,
A. Ovseevich,
F. Bullo,
and M. Margaliot.
Verifying $k$-Contraction without Computing $k$-Compounds.
IEEE Transactions on Automatic Control,
69(3):1492-1506,
2024.
Keyword(s): Contraction Theory.
[bibtex-entry]
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A. Davydov and F. Bullo.
Exponential Stability of Parametric Optimization-Based Controllers via Lur'e contractivity.
IEEE Control Systems Letters,
8:1277-1282,
2024.
Keyword(s): Contraction Theory.
[bibtex-entry]
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A. Davydov and F. Bullo.
Perspectives on Contractivity in Control, Optimization and Learning.
IEEE Control Systems Letters,
8:2087-2098,
2024.
Keyword(s): Contraction Theory,
Neural Networks.
[bibtex-entry]
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A. Davydov,
A. V. Proskurnikov,
and F. Bullo.
Non-Euclidean Contraction Analysis of Continuous-Time Neural Networks.
IEEE Transactions on Automatic Control,
2024.
Note: To appear.
Keyword(s): Contraction Theory,
Neural Networks.
[bibtex-entry]
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G. De Pasquale,
K. D. Smith,
F. Bullo,
and M. E. Valcher.
Dual Seminorms, Ergodic Coefficients, and Semicontraction Theory.
IEEE Transactions on Automatic Control,
69(5):3040-3053,
2024.
Keyword(s): Contraction Theory.
[bibtex-entry]
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G. Diaz-Garcia,
F. Bullo,
and J. R. Marden.
Strategic Coalitions in Networked Contest Games.
IEEE Transactions on Automatic Control,
August 2024.
Note: Submitted.
[bibtex-entry]
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A. Gokhale,
A. Davydov,
and F. Bullo.
Proximal Gradient Dynamics: Monotonicity, Exponential Convergence, and Applications.
IEEE Control Systems Letters,
2024.
Note: Submitted.
[bibtex-entry]
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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 2024.
Note: Submitted.
[bibtex-entry]
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Z. Marvi,
F. Bullo,
and A. G. Alleyne.
Balancing Safety and Performance in Barrier-Certified Systems.
IEEE Control Systems Letters,
2024.
Note: Submitted.
[bibtex-entry]
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Z. Marvi,
F. Bullo,
and A. G. Alleyne.
Control Barrier Proximal Dynamics: A Contraction Theoretic Approach for Safety Verification.
IEEE Control Systems Letters,
8:880-885,
2024.
[bibtex-entry]
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W. Mei,
J. M. Hendrickx,
G. Chen,
F. Bullo,
and F. Dorfler.
Convergence, Consensus and Dissensus in the Weighted-Median Opinion Dynamics.
IEEE Transactions on Automatic Control,
69(10):6700-6714,
2024.
[bibtex-entry]
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R. Ofir,
F. Bullo,
and M. Margaliot.
A sufficient condition for 2-contraction of a feedback interconnection.
IEEE Transactions on Automatic Control,
2024.
Note: Submitted.
Keyword(s): Contraction Theory.
[bibtex-entry]
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A. V. Proskurnikov and F. Bullo.
Regular pairings for non-quadratic Lyapunov functions and contraction analysis.
SIAM Journal on Control and Optimization,
September 2024.
Note: Submitted.
Keyword(s): Contraction Theory.
[bibtex-entry]
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R. Yan,
X. Duan,
R. Zou,
X. He,
Z. Shi,
and F. Bullo.
Multiplayer Homicidal Chauffeur Reach-Avoid Games: A Pursuit Enclosure Function Approach.
Automatica,
2024.
Note: To appear.
[bibtex-entry]
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W. Ye,
F. Bullo,
N. E. Friedkin,
and A. K. Singh.
Computational Models for Human-AI Team Decision Making.
2024.
[bibtex-entry]
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V. Centorrino,
A. Gokhale,
A. Davydov,
G. Russo,
and F. Bullo.
Biologically Plausible Neural Networks for Sparse Reconstruction: A Normative Framework.
In Workshop “Mathematics for Artificial Intelligence and Machine Learningâ€,
Milan, Italy,
january 2024.
Note: Oral Presentation.
Keyword(s): Contraction Theory,
Neural Networks.
[bibtex-entry]
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V. Centorrino,
A. Gokhale,
A. Davydov,
G. Russo,
and F. Bullo.
Towards a Top/Down Normative Framework for a Biologically Plausible Explanation of Neural Circuits: Application to Sparse Reconstruction Problems.
In 5th International Convention on the Mathematics of Neuroscience and AI,
Rome, Italy,
May 2024.
Keyword(s): Contraction Theory,
Neural Networks.
[bibtex-entry]
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S. Jaffe,
A. Davydov,
D. Lapsekili,
A. K. Singh,
and F. Bullo.
Learning Neural Contracting Dynamics: Extended Linearization and Global Guarantees.
In Advances in Neural Information Processing Systems,
2024.
Note: To appear.
[bibtex-entry]
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Y. John,
C. Hughes,
G. Diaz-Garcia,
J. Marden,
and F. Bullo.
RoSSO: A High-Performance Python Package for Robotic Surveillance Strategy Optimization Using JAX.
In IEEE Int. Conf. on Robotics and Automation,
Yokohama, Japan,
May 2024.
Note: To appear.
Keyword(s): Robotic Surveillance.
[bibtex-entry]
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R. Marjieh,
A. Gokhale,
F. Bullo,
and T. Griffiths.
Task Allocation in Teams as a Multi-Armed Bandit.
In ACM Collective Intelligence,
June 2024.
Note: Accepted for both poster and oral presentation.
[bibtex-entry]
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Last modified: Tue Oct 8 14:51:50 2024
Author: bullo.
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