activity
20142020
most citedContinuous time Gaussian process dynamical models in gene regulatory network inference

75 citations · 262 across the 20 of their papers we have counts for

collaborators
Showing 2016Show all

8 papers · 1 filter

eess.SY2016★ 2 cited

Dynamic Network Reconstruction from Heterogeneous Datasets

Zuogong Yue, Johan Thunberg, Wei Pan +2

Performing multiple experiments is common when learning internal mechanisms of complex systems. These experiments can include perturbations to parameters or external disturbances.…

math.OC2016

Almost global consensus on the n-sphere

Johan Markdahl, Johan Thunberg, Jorge Goncalves

This paper establishes novel results regarding the global convergence properties of a large class of consensus protocols for multi-agent systems that evolve in continuous time on t…

eess.SY2016★ 5 cited

Inverse Problems for Matrix Exponential in System Identification: System Aliasing

Zuogon Yue, Johan Thunberg, Jorge Goncalves

This note addresses identification of the -matrix in continuous time linear dynamical systems on state-space form. If this matrix is partially known or known to have a sparse st…

eess.SY2016

Shaping Pulses to Control Bistable Monotone Systems Using Koopman Operator

Aivar Sootla, Alexandre Mauroy, Jorge Goncalves

In this paper, we further develop a recently proposed control method to switch a bistable system between its steady states using temporal pulses. The motivation for using pulses co…

eess.SY2016

Identification of Sparse Continuous-Time Linear Systems with Low Sampling Rate: Optimization Approaches

Zuogong Yue, Johan Thunberg, Lennart Ljung +1

This paper addresses identification of sparse linear and noise-driven continuous-time state-space systems, i.e., the right-hand sides in the dynamical equations depend only on a su…

eess.SY2016★ 3 cited

Systems Aliasing in Dynamic Network Reconstruction: Issues on Low Sampling Frequencies

Zuogon Yue, Johan Thunberg, Lennart Ljung +2

Network reconstruction of dynamical continuous-time (CT) systems is motivated by applications in many fields. Due to experimental limitations, especially in biology, data could be…

eess.SY2016★ 4 cited

Linear identification of nonlinear systems: A lifting technique based on the Koopman operator

Alexandre Mauroy, Jorge Goncalves

We exploit the key idea that nonlinear system identification is equivalent to linear identification of the socalled Koopman operator. Instead of considering nonlinear system identi…

cs.CV2016★ 48 cited

Shape-aware Surface Reconstruction from Sparse 3D Point-Clouds

Florian Bernard, Luis Salamanca, Johan Thunberg +7

The reconstruction of an object's shape or surface from a set of 3D points plays an important role in medical image analysis, e.g. in anatomy reconstruction from tomographic measur…