9 citations · 9 across the 1 of their papers we have counts for
5 papers
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…
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…
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…
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…
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…