75 citations · 262 across the 20 of their papers we have counts for
8 papers · 1 filter
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.…
An Approach to Sparse Continuous-time System Identification from Unevenly Sampled Data
Rui Teixeira Ribeiro, Alexandre Mauroy, Jorge Goncalves
In this work, we address the problem of identifying sparse continuous-time dynamical systems when the spacing between successive samples (the sampling period) is not constant over…
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.…
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…
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…
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…
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…
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…