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Publications about 'Contraction Theory'
Books and proceedings
  1. F. Bullo. Contraction Theory for Nonlinear Networks. Lecture Notes, 0.7 edition, April 2022. [bibtex-entry]


Articles in journal, book chapters
  1. P. Cisneros-Velarde, S. Jafarpour, and F. Bullo. Contraction Theory for Dynamical Systems on Hilbert Spaces. IEEE Transactions on Automatic Control, 2022. Note: To appear. Keyword(s): Contraction Theory. [bibtex-entry]


  2. S. Jafarpour, P. Cisneros-Velarde, and F. Bullo. Weak and Semi-Contraction for Network Systems and Diffusively-Coupled Oscillators. IEEE Transactions on Automatic Control, 67(3):1285-1300, 2022. Keyword(s): Contraction Theory. [bibtex-entry]


  3. R. Ofir, F. Bullo, and M. Margaliot. Minimum effort decentralized control design for contracting network systems. IEEE Control Systems Letters, 2022. Note: To appear. Keyword(s): Contraction Theory. [bibtex-entry]


  4. P. Cisneros-Velarde, S. Jafarpour, and F. Bullo. Distributed and Time-Varying Primal-Dual Dynamics via Contraction Analysis. IEEE Transactions on Automatic Control, 2021. Note: To appear. Keyword(s): Contraction Theory. [bibtex-entry]


  5. A. Davydov, S. Jafarpour, and F. Bullo. Non-Euclidean Contraction Theory for Robust Nonlinear Stability. IEEE Transactions on Automatic Control, July 2021. Note: Conditionally accepted. Keyword(s): Contraction Theory. [bibtex-entry]


  6. S. Jafarpour, A. Davydov, and F. Bullo. Non-Euclidean Contraction Theory for Monotone and Positive Systems. IEEE Transactions on Automatic Control, September 2021. Keyword(s): Contraction Theory, Neural Networks. [bibtex-entry]


  7. J. W. Simpson-Porco and F. Bullo. Contraction Theory on Riemannian Manifolds. Systems & Control Letters, 65:74-80, 2014. Keyword(s): Nonlinear Control, Mechanical Control Systems, Contraction Theory. [bibtex-entry]


Conference articles
  1. V. Centorrino, F. Bullo, and G. Russo. Contraction Analysis of Hopfield Neural Networks with Hebbian Learning. In IEEE Conf. on Decision and Control, December 2022. Note: Submitted. Keyword(s): Contraction Theory, Neural Networks. [bibtex-entry]


  2. A. Davydov, S. Jafarpour, M. Abate, F. Bullo, and S. Coogan. Comparative Analysis of Interval Reachability for Robust Implicit and Feedforward Neural Networks. In IEEE Conf. on Decision and Control, 2022. Note: Submitted. Keyword(s): Contraction Theory, Neural Networks. [bibtex-entry]


  3. A. Davydov, S. Jafarpour, A. V. Proskurnikov, and F. Bullo. Non-Euclidean Monotone Operator Theory with Applications to Recurrent Neural Networks. In IEEE Conf. on Decision and Control, December 2022. Note: Submitted. Keyword(s): Contraction Theory, Neural Networks. [bibtex-entry]


  4. A. Davydov, A. V. Proskurnikov, and F. Bullo. Non-Euclidean Contractivity of Recurrent Neural Networks. In American Control Conference, 2022. Note: To appear. Keyword(s): Contraction Theory, Neural Networks. [bibtex-entry]


  5. S. Jafarpour, M. Abate, A. Davydov, F. Bullo, and S. Coogan. Robustness Certificates for Implicit Neural Networks: A Mixed Monotone Contractive Approach. In Learning for Dynamics and Control Conference, June 2022. Note: To appear. Keyword(s): Contraction Theory, Neural Networks. [bibtex-entry]


  6. F. Bullo, P. Cisneros-Velarde, A. Davydov, and S. Jafarpour. From Contraction Theory to Fixed Point Algorithms on Riemannian and non-Euclidean Spaces. In IEEE Conf. on Decision and Control, December 2021. Keyword(s): Contraction Theory. [bibtex-entry]


  7. P. Cisneros-Velarde and F. Bullo. A Contraction Theory Approach to Optimization Algorithms from Acceleration Flows. In International Conference on Artificial Intelligence and Statistics, May 2021. Note: To appear. Keyword(s): Contraction Theory. [bibtex-entry]


  8. S. Jafarpour, A. Davydov, A. V. Proskurnikov, and F. Bullo. Robust Implicit Networks via Non-Euclidean Contractions. In Advances in Neural Information Processing Systems, December 2021. Keyword(s): Contraction Theory, Neural Networks. [bibtex-entry]


Miscellaneous
  1. S. Jafarpour, P. Cisneros-Velarde, and F. Bullo. Weak and Semi-Contraction Theory with Application to Network Systems, 2020. Note: ArXiv e-print. Keyword(s): Contraction Theory. [bibtex-entry]



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