Zobrazeno 1 - 10
of 67
pro vyhledávání: '"Gunnar Tufte"'
Autor:
Johannes H. Jensen, Anders Strømberg, Ida Breivik, Arthur Penty, Miguel Angel Niño, Muhammad Waqas Khaliq, Michael Foerster, Gunnar Tufte, Erik Folven
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-12 (2024)
Abstract Artificial spin ice (ASI) are nanomagnetic metamaterials with a wide range of emergent properties. Through local interactions, the magnetization of the nanomagnets self-organize into extended magnetic domains. However, controlling when, wher
Externí odkaz:
https://doaj.org/article/291df44eeefc49fcaacb5565e3007264
Publikováno v:
Measurement + Control, Vol 56 (2023)
The existence of a Lyapunov function is known to ensure either local or global stability of a system’s equilibrium state. Inspired by the control-Lyapunov method, we here construct a Lyapunov candidate function by analyzing a pendulum system’s to
Externí odkaz:
https://doaj.org/article/b5c71711855b403cba625ab1d4e60105
Publikováno v:
Modeling, Identification and Control, Vol 43, Iss 1, Pp 1-8 (2022)
Partial observability is a problem in control design where the measured states are insufficient in describing the systems trajectory. Interesting real-world systems often exhibit nonlinear behavior and noisy, continuous-valued states that are poorly
Externí odkaz:
https://doaj.org/article/fb13c714ecaa4cbd9224415bc49b095f
Publikováno v:
Modeling, Identification and Control, Vol 42, Iss 4, Pp 197-204 (2021)
We present here a model-free method for learning actions that lead to an all-source-all-destination shortest path solution. We motivate our approach in the context of biological learning for reactive control. Our method involves an agent exploring an
Externí odkaz:
https://doaj.org/article/fbe9b548b17a4d9096f7659c6744fb20
Publikováno v:
Measurement and Control. 56:1049-1056
The existence of a Lyapunov function is known to ensure either local or global stability of a system’s equilibrium state. Inspired by the control-Lyapunov method, we here construct a Lyapunov candidate function by analyzing a pendulum system’s to
Autor:
Johannes H. Jensen, Anders Strømberg, Odd Rune Lykkebø, Arthur Penty, Jonathan Leliaert, Magnus Själander, Erik Folven, Gunnar Tufte
Publikováno v:
PHYSICAL REVIEW B
Physical review B
Physical review B (PRB)
Physical review B
Physical review B (PRB)
We present flatspin, a novel simulator for systems of interacting mesoscopic spins on a lattice, also known as artificial spin ice (ASI). A generalization of the Stoner-Wohlfarth model is introduced, and combined with a well-defined switching protoco
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::32ab0fc00f180efaf2f3924fbf41d051
https://hdl.handle.net/1854/LU-8762732
https://hdl.handle.net/1854/LU-8762732
Autor:
Ioanna Sandvig, Sidney Pontes-Filho, Stefano Nichele, Gunnar Tufte, Anis Yazidi, Pedro G. Lind, Gustavo Borges Moreno e Mello, Hugo Lewi Hammer, Jianhua Zhang
Publikováno v:
Cognitive Neurodynamics
Although deep learning has recently increased in popularity, it suffers from various problems including high computational complexity, energy greedy computation, and lack of scalability, to mention a few. In this paper, we investigate an alternative
Autor:
Gunnar Tufte
Publikováno v:
Evolutionary Computation
Artificial development takes it's inspiration from the processes of biological development (Wolpert; 2002). The process of mapping genetic information in the genotype to a phenotype that express structure, behaviour and functions (Hall; 2003). In nat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d1c0b300dbe06089d916e11e13f2979a
http://www.intechopen.com/articles/show/title/from-evo-to-evodevo-mapping-and-adaptation-in-artificial-development
http://www.intechopen.com/articles/show/title/from-evo-to-evodevo-mapping-and-adaptation-in-artificial-development
Autor:
Gunnar Tufte, Arthur Penty
Publikováno v:
Proceedings of the Artificial Life Conference
The 2021 Conference on Artificial Life
The 2021 Conference on Artificial Life
Arrangements of nanomagnets known as artificial spin ices show great potential for use in unconventional computation. The majority of exploratory work done in this area considers just a small handful of well studied geometries (nanomagnetic arrangeme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b4b32700a5c4788bb27d22f00967ab9f
https://hdl.handle.net/11250/3027718
https://hdl.handle.net/11250/3027718
Autor:
Ioanna Sandvig, Gunnar Tufte, Jianhua Zhang, Hugo Lewi Hammer, Pedro G. Lind, Gustavo Borges Moreno e Mello, Stefano Nichele, Sidney Pontes-Filho, Anis Yazidi
Publikováno v:
Applications of Evolutionary Computation ISBN: 9783030437213
EvoApplications
EvoApplications
Dynamical systems possess a computational capacity that may be exploited in a reservoir computing paradigm. This paper presents a general representation of dynamical systems which is based on matrix multiplication. That is similar to how an artificia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::362bbb4ab1e551b23f65c862f06dca89
https://hdl.handle.net/11250/2724664
https://hdl.handle.net/11250/2724664