5 citations · 9 across the 7 of their papers we have counts for
16 papers · 1 filter
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…
Data-Driven Stabilization Using Prior Knowledge on Stabilizability and Controllability
Amir Shakouri, Henk J. van Waarde, Tren M. J. T. Baltussen +1
In this work, we study data-driven stabilization of linear time-invariant systems using prior knowledge of system-theoretic properties, specifically stabilizability and controllabi…
Learning in Memristive Neural Networks
H. M. Heidema, H. J. van Waarde, B. Besselink
Memristors are nonlinear two-terminal circuit elements whose resistance at a given time depends on past electrical stimuli. Recently, networks of memristors have received attention…
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…
Bridging Model Reference Adaptive Control and Data Informativity
Jiwei Wang, Simone Baldi, Henk J. van Waarde
The goal of model reference adaptive control (MRAC) is to ensure that the trajectories of an unknown dynamical system track those of a given reference model. This is done by means…
Synthesis of Dissipative Systems Using Input-State Data
Encho T. Nguyen, Henk J. van Waarde
This paper deals with the data-driven synthesis of dissipative linear systems in discrete time. We collect finitely many noisy data samples with which we synthesise a controller th…