25 citations · 50 across the 9 of their papers we have counts for
9 papers
Global Network Prediction from Local Node Dynamics
Neave O'Clery, Ye Yuan, Guy-Bart Stan +1
The study of dynamical systems on networks, describing complex interactive processes, provides insight into how network structure affects global behaviour. Yet many methods for net…
Distributed Kalman filtering with minimum-time consensus algorithm
Ye Yuan, Ling Shi, Jun Liu +3
Fueled by applications in sensor networks, these years have witnessed a surge of interest in distributed estimation and filtering. A new approach is hereby proposed for the Distrib…
Identifying Biochemical Reaction Networks From Heterogeneous Datasets
Wei Pan, Ye Yuan, Lennart Ljung +2
In this paper, we propose a new method to identify biochemical reaction networks (i.e. both reactions and kinetic parameters) from heterogeneous datasets. Such datasets can contain…
On minimal realisations of dynamical structure functions
Ye Yuan, Keith Glover, Jorge Goncalvees
Motivated by the fact that transfer functions do not contain structural information about networks, dynamical structure functions were introduced to capture causal relationships be…
A Sparse Bayesian Approach to the Identification of Nonlinear State-Space Systems
Wei Pan, Ye Yuan, Jorge Gonçalves +1
This technical note considers the identification of nonlinear discrete-time systems with additive process noise but without measurement noise. In particular, we propose a method an…
Network Reconstruction from Intrinsic Noise
David Hayden, Ye Yuan, Jorge Goncalves
This paper considers the problem of inferring an unknown network of dynamical systems driven by unknown, intrinsic, noise inputs. Equivalently we seek to identify direct causal dep…
Minimal realization of the dynamical structure function and its application to network reconstruction
Ye Yuan, Guy-Bart Stan, Sean Warnick +1
Network reconstruction, i.e., obtaining network structure from data, is a central theme in systems biology, economics and engineering. In some previous work, we introduced dynamica…
Robust Network Reconstruction in Polynomial Time
David Hayden, Ye Yuan, Jorge Gonçalves
This paper presents an efficient algorithm for robust network reconstruction of Linear Time-Invariant (LTI) systems in the presence of noise, estimation errors and unmodelled nonli…
Reconstruction of Arbitrary Biochemical Reaction Networks: A Compressive Sensing Approach
Wei Pan, Ye Yuan, Guy-Bart Stan
Reconstruction of biochemical reaction networks is a central topic in systems biology which raises crucial theoretical challenges in system identification. Nonlinear Ordinary Diffe…