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Showing 2018Show all

8 papers · 1 filter

eess.SY2018

A state-space approach to sparse dynamic network reconstruction

Zuogong Yue, Johan Thunberg, Lennart Ljung +1

Dynamic network reconstruction has been shown to be challenging due to the requirements on sparse network structures and network identifiability. The direct parametric method (e.g.…

math.OC2018

Continuous time Gaussian process dynamical models in gene regulatory network inference

Atte Aalto, Lauri Viitasaari, Pauliina Ilmonen +2

One of the focus areas of modern scientific research is to reveal mysteries related to genes and their interactions. The dynamic interactions between genes can be encoded into a ge…

math.OC2018

High-dimensional Kuramoto models on Stiefel manifolds synchronize complex networks almost globally

Johan Markdahl, Johan Thunberg, Jorge Goncalves

The Kuramoto model of coupled phase oscillators is often used to describe synchronization phenomena in nature. Some applications, e.g., quantum synchronization and rigid-body attit…

math.OC2018

A Lifting method for analyzing distributed synchronization on the unit sphere

Johan Thunberg, Johan Markdahl, Florian Bernard +1

This paper introduces a new lifting method for analyzing convergence of continuous-time distributed synchronization/consensus systems on the unit sphere. Points on the d-dimensiona…

cs.CV2018

Synchronisation of Partial Multi-Matchings via Non-negative Factorisations

Florian Bernard, Johan Thunberg, Jorge Goncalves +1

In this work we study permutation synchronisation for the challenging case of partial permutations, which plays an important role for the problem of matching multiple objects (e.g.…

math.OC2018

Towards Almost Global Synchronization on the Stiefel Manifold

Johan Markdahl, Johan Thunberg, Jorge Goncalves

A graph is referred to as -synchronizing if, roughly speaking, the Kuramoto-like model whose interaction topology is given by synchronizes…