Real analytic control systems. - Saber Jafarpour; Andrew D. Lewis (CDC, 2014)

Locally convex topologies and control theory. - Saber Jafarpour; Andrew D. Lewis (Math. Control. Signals Syst., 2016)

Network-cognizant model reduction of grid-tied three-phase inverters. - Victor Purba; Sairaj V. Dhople; Saber Jafarpour; Francesco Bullo; Brian B. Johnson (Allerton, 2017)

Synchronization of Coupled Oscillators: The Taylor Expansion of the Inverse Kuramoto Map. - Elizabeth Y. Huang; Saber Jafarpour; Francesco Bullo (CDC, 2018)

Synchronization of Kuramoto Oscillators: Inverse Taylor Expansions. - Saber Jafarpour; Elizabeth Y. Huang; Francesco Bullo (SIAM J. Control. Optim., 2019)

Markov Chains With Maximum Entropy for Robotic Surveillance. - Mishel George; Saber Jafarpour; Francesco Bullo (IEEE Trans. Autom. Control., 2019)

Synchronization of Kuramoto Oscillators via Cutset Projections. - Saber Jafarpour; Francesco Bullo (IEEE Trans. Autom. Control., 2019)

Distributed and time-varying primal-dual dynamics via contraction analysis. - Pedro Cisneros-Velarde; Saber Jafarpour; Francesco Bullo (CoRR, 2020)

Weak and Semi-Contraction Theory with Application to Network Systems. - Saber Jafarpour; Pedro Cisneros-Velarde; Francesco Bullo (CoRR, 2020)

On Small-Time Local Controllability. - Saber Jafarpour (SIAM J. Control. Optim., 2020)

From Contraction Theory to Fixed Point Algorithms on Riemannian and Non-Euclidean Spaces. - Francesco Bullo; Pedro Cisneros-Velarde; Alexander Davydov 001; Saber Jafarpour (CDC, 2021)

Combining Physics and Machine Learning for Network Flow Estimation. - Arlei Lopes da Silva; Furkan Kocayusufoglu; Saber Jafarpour; Francesco Bullo; Ananthram Swami; Ambuj K. Singh (ICLR, 2021)

Robust Implicit Networks via Non-Euclidean Contractions. - Saber Jafarpour; Alexander Davydov 001; Anton V. Proskurnikov; Francesco Bullo (NeurIPS, 2021)

Non-Euclidean Contraction Theory via Semi-Inner Products. - Alexander Davydov 001; Saber Jafarpour; Francesco Bullo (CoRR, 2021)

Graph-Theoretic Stability Conditions for Metzler Matrices and Monotone Systems. - Xiaoming Duan; Saber Jafarpour; Francesco Bullo (SIAM J. Control. Optim., 2021)

Resilience of Input Metering in Dynamic Flow Networks. - Saber Jafarpour; Samuel Coogan 001 (ACC, 2022)

Comparative Analysis of Interval Reachability for Robust Implicit and Feedforward Neural Networks. - Alexander Davydov 001; Saber Jafarpour; Matthew Abate; Francesco Bullo; Samuel Coogan 001 (CDC, 2022)

Non-Euclidean Monotone Operator Theory with Applications to Recurrent Neural Networks. - Alexander Davydov 001; Saber Jafarpour; Anton V. Proskurnikov; Francesco Bullo (CDC, 2022)

Robustness Certificates for Implicit Neural Networks: A Mixed Monotone Contractive Approach. - Saber Jafarpour; Matthew Abate; Alexander Davydov 001; Francesco Bullo; Samuel Coogan 001 (L4DC, 2022)

Multistability and Paradoxes in Lossy Oscillator Networks. - Robin Delabays; Saber Jafarpour; Francesco Bullo (CoRR, 2022)

Robust Training and Verification of Implicit Neural Networks: A Non-Euclidean Contractive Approach. - Saber Jafarpour; Alexander Davydov 001; Matthew Abate; Francesco Bullo; Samuel Coogan 001 (CoRR, 2022)

Flow and Elastic Networks on the n-Torus: Geometry, Analysis, and Computation. - Saber Jafarpour; Elizabeth Y. Huang; Kevin D. Smith; Francesco Bullo (SIAM Rev., 2022)

A Contraction Analysis of Primal-Dual Dynamics in Distributed and Time-Varying Implementations. - Pedro Cisneros-Velarde; Saber Jafarpour; Francesco Bullo (IEEE Trans. Autom. Control., 2022)

Contraction Theory for Dynamical Systems on Hilbert Spaces. - Pedro Cisneros-Velarde; Saber Jafarpour; Francesco Bullo (IEEE Trans. Autom. Control., 2022)

Non-Euclidean Contraction Theory for Robust Nonlinear Stability. - Alexander Davydov 001; Saber Jafarpour; Francesco Bullo (IEEE Trans. Autom. Control., 2022)

Weak and Semi-Contraction for Network Systems and Diffusively Coupled Oscillators. - Saber Jafarpour; Pedro Cisneros-Velarde; Francesco Bullo (IEEE Trans. Autom. Control., 2022)

Transient Stability of Droop-Controlled Inverter Networks With Operating Constraints. - Kevin D. Smith; Saber Jafarpour; Francesco Bullo (IEEE Trans. Autom. Control., 2022)

Singular Perturbation and Small-Signal Stability for Inverter Networks. - Saber Jafarpour; Victor Purba; Brian B. Johnson; Sairaj V. Dhople; Francesco Bullo (IEEE Trans. Control. Netw. Syst., 2022)

Topology Inference With Multivariate Cumulants: The Möbius Inference Algorithm. - Kevin D. Smith; Saber Jafarpour; Ananthram Swami; Francesco Bullo (IEEE/ACM Trans. Netw., 2022)

Contraction-Guided Adaptive Partitioning for Reachability Analysis of Neural Network Controlled Systems. - Akash Harapanahalli; Saber Jafarpour; Samuel Coogan 001 (CDC, 2023)

A Contracting Dynamical System Perspective toward Interval Markov Decision Processes. - Saber Jafarpour; Samuel Coogan 001 (CDC, 2023)

Interval Reachability of Nonlinear Dynamical Systems with Neural Network Controllers. - Saber Jafarpour; Akash Harapanahalli; Samuel Coogan 001 (L4DC, 2023)

A Toolbox for Fast Interval Arithmetic in numpy with an Application to Formal Verification of Neural Network Controlled Systems. - Akash Harapanahalli; Saber Jafarpour; Samuel Coogan 001 (CoRR, 2023)

Forward Invariance in Neural Network Controlled Systems. - Akash Harapanahalli; Saber Jafarpour; Samuel Coogan 001 (IEEE Control. Syst. Lett., 2023)

Minimax Flow Over Acyclic Networks: Distributed Algorithms and Microgrid Application. - Marco Coraggio; Saber Jafarpour; Francesco Bullo; Mario di Bernardo (IEEE Trans. Control. Netw. Syst., 2023)

Non-Euclidean Contraction Theory for Monotone and Positive Systems. - Saber Jafarpour; Alexander Davydov 001; Francesco Bullo (IEEE Trans. Autom. Control., 2023)

immrax: A Parallelizable and Differentiable Toolbox for Interval Analysis and Mixed Monotone Reachability in JAX. - Akash Harapanahalli; Saber Jafarpour; Samuel Coogan 001 (ADHS, 2024)

Probabilistic Reachability of Stochastic Control Systems: A Contraction-Based Approach. - Saber Jafarpour; Yongxin Chen (CoRR, 2024)

Probabilistic Reachability of Discrete-Time Nonlinear Stochastic Systems. - Zishun Liu; Saber Jafarpour; Yongxin Chen (CoRR, 2024)

Safety Verification of Stochastic Systems: A Set-Erosion Approach. - Zishun Liu; Saber Jafarpour; Yongxin Chen (IEEE Control. Syst. Lett., 2024)

Network Critical Slowing Down: Data-Driven Detection of Critical Transitions in Nonlinear Networks. - Mohammad Pirani; Saber Jafarpour (IEEE Trans. Control. Netw. Syst., 2024)

Efficient Interaction-Aware Interval Analysis of Neural Network Feedback Loops. - Saber Jafarpour; Akash Harapanahalli; Samuel Coogan 001 (IEEE Trans. Autom. Control., 2024)

Neural Network-assisted Interval Reachability for Systems with Control Barrier Function-Based Safe Controllers. - Damola Ajeyemi; Saber Jafarpour; Emiliano Dall'Anese (L4DC, 2025)

Neural Barrier Certificates for Monotone Systems. - Amirreza Alavi; Alireza Nadali; Majid Zamani 001; Saber Jafarpour (IEEE Control. Syst. Lett., 2025)

Geometric Reachability for Attitude Control Systems via Contraction Theory. - Chencheng Xu; Saber Jafarpour; Chengcheng Zhao; Zhiguo Shi 001; Jiming Chen (CoRR, 2025)

Monotonicity and Contraction on Polyhedral Cones. - Saber Jafarpour; Samuel Coogan 001 (IEEE Trans. Autom. Control., 2025)

Safety Verification of Nonlinear Stochastic Systems via Probabilistic Tube. - Zishun Liu; Saber Jafarpour; Yongxin Chen (CoRR, 2025)