17 citations · 23 across the 14 of their papers we have counts for
16 papers
Experiment Design for Set-membership Identification: From Prior Knowledge to Universal Inputs
Amir Shakouri, Henk J. van Waarde, M. Kanat Camlibel
We consider the problem of designing input signals for an unknown linear time-invariant system in such a way that the resulting data, within a finite horizon, is suitable for ident…
A New Noise Model for Data-driven Control: Generalized Frobenius Norm Bounds
Huayuan Huang, M. Kanat Camlibel, Henk J. van Waarde
In this article, we introduce a new noise model for data-driven control. The model can be interpreted as a generalization of a Frobenius norm bound on the matrix of noise samples.…
Data-driven Synchronization for Network Systems with Noiseless Data
Yongzhang Li, M. Kanat Camlibel
For a collection of homogeneous LTI systems that is interconnected by a protocol, given the network topology and the system model, one may obtain a feedback gain to synchronize the…
Experiment design using prior knowledge on controllability and stabilizability
Amir Shakouri, Henk J. van Waarde, M. Kanat Camlibel
In this paper, we consider the problem of designing input signals for an unknown linear time-invariant system in such a way that the resulting input-state data is suitable for iden…
Fragility Analysis of Data-Driven Feedback Gains
Yongzhang Li, Amir Shakouri, M. Kanat Camlibel
For linear time-invariant systems, input-state data collected during an open-loop experiment can remedy the lack of knowledge of system parameters. However, such data do not contai…
Data-driven stabilization of polynomial systems using density functions
Huayuan Huang, M. Kanat Camlibel, Raffaella Carloni +1
This paper studies data-driven stabilization of a class of unknown polynomial systems using data corrupted by bounded noise. Existing work addressing this problem has focused on de…