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pro vyhledávání: '"A. Waarde"'
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 in neuromorphic computing since they can be used as a tool to perform
Externí odkaz:
http://arxiv.org/abs/2409.15136
This paper is concerned with the following problem: given an upper bound of the state-space dimension and lag of a linear time-invariant system, design a sequence of inputs so that the system dynamics can be recovered from the resulting input-output
Externí odkaz:
http://arxiv.org/abs/2407.12509
Autor:
Shali, Brayan M., van Waarde, Henk J.
A major problem in system identification is the incorporation of prior knowledge about the physical properties of the given system, such as stability, positivity and passivity. In this paper, we present first steps towards tackling this problem for p
Externí odkaz:
http://arxiv.org/abs/2404.08297
This paper studies the identification of linear time-invariant systems using noisy input-output data in a set-membership framework. It is assumed that the noise sequence belongs to a bounded set, induced by a quadratic matrix inequality, that allows
Externí odkaz:
http://arxiv.org/abs/2403.05315
It is shown that an LTI system is a relaxation system if and only if its Hankel operator is cyclic monotone. Cyclic monotonicity of the Hankel operator implies the existence of a storage function whose gradient is the Hankel operator. This storage is
Externí odkaz:
http://arxiv.org/abs/2312.03389
The objective of model reference control is to design a controller that regulates the system's behavior so as to match a specified reference model. This paper investigates necessary and sufficient conditions for model reference control from a data-dr
Externí odkaz:
http://arxiv.org/abs/2310.11159
Autor:
Maarten Laroy, Filip Bouckaert, Olga Therese Ousdal, Annemieke Dols, Didi Rhebergen, Eric van Exel, Guido van Wingen, Jeroen van Waarde, Joey Verdijk, Ute Kessler, Hauke Bartsch, Martin Balslev Jorgensen, Olaf B. Paulson, Pia Nordanskog, Joan Prudic, Pascal Sienaert, Mathieu Vandenbulcke, Leif Oltedal, Louise Emsell
Publikováno v:
Brain Stimulation, Vol 17, Iss 4, Pp 876-886 (2024)
Background: Increased gray matter volume (GMV) following electroconvulsive therapy (ECT) has been well-documented, with limited studies reporting a subsequent decrease in GMV afterwards. Objective: This study characterized the reversion pattern of GM
Externí odkaz:
https://doaj.org/article/bc07296b7eda4a7d94f5693c07cb93bc
The goal of this paper is to provide a tutorial on the so-called informativity framework for direct data-driven analysis and control. This framework achieves certified data-based analysis and control by assessing system properties and determining con
Externí odkaz:
http://arxiv.org/abs/2302.10488
This paper deals with data-driven stability analysis and feedback stabillization of linear input-output systems in autoregressive (AR) form. We assume that noisy input-output data on a finite time-interval have been obtained from some unknown AR syst
Externí odkaz:
http://arxiv.org/abs/2206.08408
The fundamental lemma by Willems and coauthors facilitates a parameterization of all trajectories of a linear time-invariant system in terms of a single, measured one. This result plays an important role in data-driven simulation and control. Under t
Externí odkaz:
http://arxiv.org/abs/2205.06636