Alexander Davydov

IEEE Control. Syst. Lett., 2024

Exponential Stability of Parametric Optimization-Based Controllers via Lur'e Contractivity.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2024

On Weakly Contracting Dynamics for Convex Optimization.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2024

Proximal Gradient Dynamics: Monotonicity, Exponential Convergence, and Applications.

[BibT_eX]

[DOI]

Anand Gokhale

CoRR, 2024

Learning Neural Contracting Dynamics: Extended Linearization and Global Guarantees.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Non-Euclidean Contraction Theory for Monotone and Positive Systems.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., September, 2023

The Yakubovich S-Lemma Revisited: Stability and Contractivity in Non-Euclidean Norms.

[BibT_eX]

[DOI]

SIAM J. Control. Optim., August, 2023

Contractivity of Distributed Optimization and Nash Seeking Dynamics.

[BibT_eX]

[DOI]

Anand Gokhale

IEEE Control. Syst. Lett., 2023

Euclidean Contractivity of Neural Networks With Symmetric Weights.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2023

Positive Competitive Networks for Sparse Reconstruction.

[BibT_eX]

[DOI]

CoRR, 2023

Contracting Dynamics for Time-Varying Convex Optimization.

[BibT_eX]

[DOI]

CoRR, 2023

On the Equivalence of Multi-Agent 2D Coverage Control and Leader-Follower Consensus Network.

[BibT_eX]

[DOI]

Xiaotian Xu

Yancy Diaz-Mercado

Proceedings of the American Control Conference, 2023

2022

Non-Euclidean Contraction Theory for Robust Nonlinear Stability.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2022

Robust Training and Verification of Implicit Neural Networks: A Non-Euclidean Contractive Approach.

[BibT_eX]

[DOI]

CoRR, 2022

Robustness Certificates for Implicit Neural Networks: A Mixed Monotone Contractive Approach.

[BibT_eX]

[DOI]

Proceedings of the Learning for Dynamics and Control Conference, 2022

Non-Euclidean Monotone Operator Theory with Applications to Recurrent Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Comparative Analysis of Interval Reachability for Robust Implicit and Feedforward Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Non-Euclidean Contractivity of Recurrent Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2022

2021

Pursuer Coordination in Multi-Player Reach-Avoid Games Through Control Barrier Functions.

[BibT_eX]

[DOI]

Phillip Rivera-Ortiz

Yancy Diaz-Mercado

IEEE Control. Syst. Lett., 2021

Non-Euclidean Contraction Theory via Semi-Inner Products.

[BibT_eX]

[DOI]

CoRR, 2021

Robust Implicit Networks via Non-Euclidean Contractions.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

From Contraction Theory to Fixed Point Algorithms on Riemannian and Non-Euclidean Spaces.

[BibT_eX]

[DOI]

Pedro Cisneros-Velarde

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Sparsity Structure and Optimality of Multi-Robot Coverage Control.

[BibT_eX]

[DOI]