48 citations · 117 across the 22 of their papers we have counts for
5 papers · 1 filter
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.…
Gray Box Identification of State-Space Models Using Difference of Convex Programming
Chengpu Yu, Lennart Ljung, Michel Verhaegen
Gray-box identification is prevalent in modeling physical and networked systems. However, due to the non-convex nature of the gray-box identification problem, good initial paramete…
Generalized Kalman Smoothing: Modeling and Algorithms
A. Y. Aravkin, J. V. Burke, L. Ljung +2
State-space smoothing has found many applications in science and engineering. Under linear and Gaussian assumptions, smoothed estimates can be obtained using efficient recursions,…
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…