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From the 1 of 6 linked papers with an AI index.

activity
20242026
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6 papers

math.RA2026

Inversion of the Multiplicative Matrix Compound Operator

Debojyoti Dey, Ron Ofir, Christian Grussler

The paper investigates how to recover a matrix whose k‑th multiplicative compound equals a given matrix M, showing infinitely many solutions when rank(M) ≤ 1 and a unique solution…

eess.SY2026

On Determining the Convergence Rate of an Infinite Product of Stochastic Matrices

Ron Ofir, A. Stephen Morse

By a convergent set is meant a set of stochastic matrices where every infinite product of matrices from every compact subset converges to a rank one matrix. Well-known examples inc…

math.OC2026

Orthant-Monotonic Norms and Additive D-Stability

Ron Ofir, Michael Margaliot

Matrix measures induced by vector norms are widely used in contraction theory of nonlinear dynamical systems. A natural and important robustness question is whether negativity of a…

eess.SY2025

Consensus Seminorms and their Applications

Ron Ofir, Ji Liu, A. Stephen Morse +1

Consensus is a well-studied problem in distributed sensing, computation and control, yet deriving useful and easily computable bounds on the rate of convergence to consensus remain…

eess.SY2024

-Contraction in a Generalized Lurie System

Ron Ofir, Jean-Jacques Slotine, Michael Margaliot

We derive a sufficient condition for -contraction in a generalized Lurie system~(GLS), that is, the feedback connection of a nonlinear dynamical system and a memoryless nonlinea…

eess.SY2024

A networked small-gain theorem based on discrete-time diagonal stability

Ron Ofir, Michael Margaliot

We present a new sufficient condition for finite-gain input-to-output stability of a networked system. The condition requires a matrix, that combines information on the