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20132026
most citedNon-Euclidean Contraction Theory for Robust Nonlinear Stability

52 citations · 98 across the 37 of their papers we have counts for

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21 papers · 1 filter

eess.SY2026

Data-Driven Compositional Safety Verification of Interconnected Monotone Systems

Amirreza Alavi, Majid Zamani, Saber Jafarpour

This paper introduces a sample-efficient compositional method for formal safety verification of interconnected monotone systems without requiring explicit models of the local subsy…

eess.SY2026

Reachability Analysis for Power Systems with Heterogeneous Resources via Jordan Transformation

Damola Ajeyemi, Antonin Colot, Sairaj Dhople +2

This paper develops a computationally efficient framework for reachability analysis of transmission-level power system dynamics with synchronous generators, grid-forming and grid-f…

eess.SY2026

Trajectory-based Safety of Monotone Systems: Verification and Control Synthesis

Felipe Galarza-Jimenez, Majid Zamani, Saber Jafarpour

This paper presents a novel data-driven framework for the robust safety verification and safe control synthesis of unknown monotone discrete-time systems. While existing data-drive…

eess.SY2025

Monotone Neural Barrier Certificates

Saber Jafarpour, Alireza Nadali, Ashutosh Trivedi +1

This report presents a neurosymbolic framework for safety verification and control synthesis in high-dimensional monotone dynamical systems without relying on explicit models or co…

eess.SY2025

Neural Network-assisted Interval Reachability for Systems with Control Barrier Function-Based Safe Controllers

Damola Ajeyemi, Saber Jafarpour, Emiliano Dall'Anese

Control Barrier Functions (CBFs) have been widely utilized in the design of optimization-based controllers and filters for dynamical systems to ensure forward invariance of a given…

eess.SY2025

Safety Verification of Nonlinear Stochastic Systems via Probabilistic Tube

Zishun Liu, Saber Jafarpour, Yongxin Chen

We address the problem of safety verification for nonlinear stochastic systems, specifically the task of certifying that system trajectories remain within a safe set with high prob…

eess.SY2025

Geometric Reachability for Attitude Control Systems via Contraction Theory

Chencheng Xu, Saber Jafarpour, Chengcheng Zhao +2

In this paper, we present a geometric framework for the reachability analysis of attitude control systems. We model the attitude dynamics on the product manifold $\mathrm{SO}(3) \t…

eess.SY2024

Safety Verification of Stochastic Systems: A Set-Erosion Approach

Zishun Liu, Saber Jafarpour, Yongxin Chen

We study the safety verification problem for discrete-time stochastic systems. We propose an approach for safety verification termed set-erosion strategy that verifies the safety o…

eess.SY2024

Probabilistic Reachability of Discrete-Time Nonlinear Stochastic Systems

Zishun Liu, Saber Jafarpour, Yongxin Chen

In this paper we study the reachability problem for discrete-time nonlinear stochastic systems. Our goal is to present a unified framework for calculating the probabilistic reachab…

eess.SY2024

Probabilistic Reachability Analysis of Stochastic Control Systems

Saber Jafarpour, Zishun Liu, Yongxin Chen

We address the reachability problem for continuous-time stochastic dynamic systems. Our objective is to present a unified framework that characterizes the reachable set of a dynami…

eess.SY2024

: A Parallelizable and Differentiable Toolbox for Interval Analysis and Mixed Monotone Reachability in JAX

Akash Harapanahalli, Saber Jafarpour, Samuel Coogan

We present an implementation of interval analysis and mixed monotone interval reachability analysis as function transforms in Python, fully composable with the computational framew…

eess.SY2023

A Contracting Dynamical System Perspective toward Interval Markov Decision Processes

Saber Jafarpour, Samuel Coogan

Interval Markov decision processes are a class of Markov models where the transition probabilities between the states belong to intervals. In this paper, we study the problem of ef…

eess.SY2023★ 5 cited

Forward Invariance in Neural Network Controlled Systems

Akash Harapanahalli, Saber Jafarpour, Samuel Coogan

We present a framework based on interval analysis and monotone systems theory to certify and search for forward invariant sets in nonlinear systems with neural network controllers.…

eess.SY2023

Efficient Interaction-Aware Interval Analysis of Neural Network Feedback Loops

Saber Jafarpour, Akash Harapanahalli, Samuel Coogan

In this paper, we propose a computationally efficient framework for interval reachability of systems with neural network controllers. Our approach leverages inclusion functions for…

eess.SY2023★ 2 cited

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

In this paper, we present a toolbox for interval analysis in numpy, with an application to formal verification of neural network controlled systems. Using the notion of natural inc…

eess.SY2023★ 5 cited

Contraction-Guided Adaptive Partitioning for Reachability Analysis of Neural Network Controlled Systems

Akash Harapanahalli, Saber Jafarpour, Samuel Coogan

In this paper, we present a contraction-guided adaptive partitioning algorithm for improving interval-valued robust reachable set estimates in a nonlinear feedback loop with a neur…

eess.SY2023★ 1 cited

Interval Reachability of Nonlinear Dynamical Systems with Neural Network Controllers

Saber Jafarpour, Akash Harapanahalli, Samuel Coogan

This paper proposes a computationally efficient framework, based on interval analysis, for rigorous verification of nonlinear continuous-time dynamical systems with neural network…

eess.SY2022★ 1 cited

Minimax Flow over Acyclic Networks: Distributed Algorithms and Microgrid Application

Marco Coraggio, Saber Jafarpour, Francesco Bullo +1

Given a flow network with variable suppliers and fixed consumers, the minimax flow problem consists in minimizing the maximum flow between nodes, subject to flow conservation and c…

eess.SY2020

Weak and Semi-Contraction for Network Systems and Diffusively-Coupled Oscillators

Saber Jafarpour, Pedro Cisneros-Velarde, Francesco Bullo

We develop two generalizations of contraction theory, namely, semi-contraction and weak-contraction theory. First, using the notion of semi-norm, we propose a geometric framework f…

eess.SY2020★ 3 cited

Distributed and time-varying primal-dual dynamics via contraction analysis

Pedro Cisneros-Velarde, Saber Jafarpour, Francesco Bullo

In this note, we provide an overarching analysis of primal-dual dynamics associated to linear equality-constrained optimization problems using contraction analysis. For the well-kn…

eess.SY2019

Transient Stability of Droop-Controlled Inverter Networks with Operating Constraints

Kevin D. Smith, Saber Jafarpour, Francesco Bullo

Due to the rise of distributed energy resources, the control of networks of grid-forming inverters is now a pressing issue for power system operation. Droop control is a popular co…