activity
20192021
most citedAllocation of Excitation Signals for Generic Identifiability of Linear Dynamic Networks

24 citations · 34 across the 6 of their papers we have counts for

collaborators

7 papers

math.OC2021

A Necessary Condition for Network Identifiability with Partial Excitation and Measurement

Xiaodong Cheng, Shengling Shi, Ioannis Lestas +1

This paper considers dynamic networks where vertices and edges represent manifest signals and causal dependencies among the signals, respectively. We address the problem of how to…

eess.SY2020★ 1 cited

Single module identifiability in linear dynamic networks with partial excitation and measurement

Shengling Shi, Xiaodong Cheng, Paul M. J. Van den Hof

Identifiability of a single module in a network of transfer functions is determined by whether a particular transfer function in the network can be uniquely distinguished within a…

eess.SY2020★ 9 cited

Data-driven distributed control: Virtual reference feedback tuning in dynamic networks

Tom R. V. Steentjes, Mircea Lazar, Paul M. J. Van den Hof

In this paper, the problem of synthesizing a distributed controller from data is considered, with the objective to optimize a model-reference control criterion. We establish an exp…

eess.SY2020

Generic identifiability of subnetworks in a linear dynamic network: the full measurement case

Shengling Shi, Xiaodong Cheng, Paul M. J. Van den Hof

Identifiability conditions for single or multiple modules in a dynamic network specify under which conditions the considered modules can be uniquely recovered from the second-order…

eess.SY2020

Learning linear modules in a dynamic network using regularized kernel-based methods

Karthik R. Ramaswamy, Giulio Bottegal, Paul M. J. Van den Hof

In order to identify one system (module) in an interconnected dynamic network, one typically has to solve a Multi-Input-Single-Output (MISO) identification problem that requires id…

math.OC2019★ 24 cited

Allocation of Excitation Signals for Generic Identifiability of Linear Dynamic Networks

Xiaodong Cheng, Shengling Shi, Paul M. J. Van den Hof

A recent research direction in data-driven modeling is the identification of dynamic networks, in which measured vertex signals are interconnected by dynamic edges represented by c…

eess.SY2019

A local direct method for module identification in dynamic networks with correlated noise

Karthik R. Ramaswamy, Paul M. J. Van den Hof

The identification of local modules in dynamic networks with known topology has recently been addressed by formulating conditions for arriving at consistent estimates of the module…