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20122026
most citedLinear Programming based Lower Bounds on Average Dwell-Time via Multiple Lyapunov Functions

8 citations · 12 across the 11 of their papers we have counts for

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12 papers

math.NA2026

Kernel Methods for the Construction of Certified Lyapunov Functions via Approximate Koopman Eigenfunctions

P. Giesl, S. Hafstein, B. Hamzi +4

We present a kernel-based methodology for constructing Lyapunov functions for nonlinear dynamical systems using approximate Koopman eigenfunctions. Our approach decomposes principa…

math.PR2024★ 1 cited

The stability of the multivariate geometric Brownian motion as a bilinear matrix inequality problem

Gerardo Barrera, Eyleifur Bjarkason, Sigurdur Hafstein

In this manuscript, we study the stability of the origin for the multivariate geometric Brownian motion. More precisely, under suitable sufficient conditions, we construct a Lyapun…

math.DS2023★ 3 cited

Sufficient Stability Conditions for a Class of Switched Systems with Multiple Steady States

Jacopo Piccini, Elias August, Sigurdur Hafstein +1

In this paper, we present a novel approach to determine the stability of switched linear and nonlinear systems using Sum of Squares optimisation. Particularly, we use Sum of Square…

math.OC2023★ 8 cited

Linear Programming based Lower Bounds on Average Dwell-Time via Multiple Lyapunov Functions

Sigurdur Hafstein, Aneel Tanwani

With the objective of developing computational methods for stability analysis of switched systems, we consider the problem of finding the minimal lower bounds on average dwell-time…

math.DS2022

Review on contraction analysis and computation of contraction metrics

Peter Giesl, Sigurdur Hafstein, Christoph Kawan

Contraction analysis considers the distance between two adjacent trajectories. If this distance is contracting, then trajectories have the same long-term behavior. The main advanta…

math.OC2022

A Projected Subgradient Method for the Computation of Adapted Metrics for Dynamical Systems

Maurício Louzeiro, Christoph Kawan, Sigurdur Hafstein +2

In this paper, we extend a recently established subgradient method for the computation of Riemannian metrics that optimizes certain singular value functions associated with dynamic…