Perspectives on adaptive dynamical systems

被引：25

作者：

Sawicki, Jakub ^{[1
,2
]}

Berner, Rico ^{[3
]}

Loos, Sarah A. M. ^{[4
]}

Anvari, Mehrnaz ^{[1
,5
]}

Bader, Rolf ^{[6
]}

Barfuss, Wolfram ^{[7
,8
]}

Botta, Nicola ^{[1
,9
]}

Brede, Nuria ^{[1
,10
]}

Franovic, Igor ^{[11
]}

Gauthier, Daniel J. ^{[12
,13
]}

Goldt, Sebastian ^{[14
]}

Hajizadeh, Aida ^{[15
]}

Hoevel, Philipp ^{[16
,17
]}

Karin, Omer ^{[18
]}

Lorenz-Spreen, Philipp ^{[19
]}

Miehl, Christoph ^{[20
,21
]}

Moelter, Jan ^{[22
]}

Olmi, Simona ^{[23
,24
]}

Schoell, Eckehard ^{[1
,25
,26
]}

Seif, Alireza ^{[27
]}

Tass, Peter A. ^{[28
]}

Volpe, Giovanni ^{[29
]}

Yanchuk, Serhiy ^{[1
,30
]}

Kurths, Juergen ^{[1
,3
]}

机构：

[1] Potsdam Inst Climate Impact Res, D-14473 Potsdam, Germany

[2] Fachhsch Nordwestschweiz FHNW, Akad Basel, Leonhardsstr 6, CH-4009 Basel, Switzerland

[3] Humboldt Univ, Dept Phys, Newtonstr 15, D-12489 Berlin, Germany

[4] Univ Cambridge, DAMTP, Wilberforce Rd, Cambridge CB3 0WA, England

[5] Fraunhofer Inst Algorithms & Sci Comp, D-53757 St Augustin, Germany

[6] Univ Hamburg, Inst Systemat Musicol, Hamburg, Germany

[7] Univ Bonn, Transdisciplinary Res Area Sustainable Futures, D-53113 Bonn, Germany

[8] Univ Bonn, Ctr Dev Res ZEF, Bonn, Germany

[9] Chalmers Univ Technol, Dept Comp Sci & Engn, S-41296 Gothenburg, Sweden

[10] Univ Potsdam, Dept Comp Sci, Bahn 2, D-14476 Potsdam, Germany

[11] Univ Belgrade, Sci Comp Lab, Ctr Study Complex Syst, Inst Phys Belgrade, Pregrevica 118, Belgrade 11080, Serbia

[12] Ohio State Univ, Dept Phys & Elect & Comp Engn, 191West Woodruff Ave, Columbus, OH 43210 USA

[13] ResCon Technol LLC, 1275 Kinnear Rd,Suite 239, Columbus, OH 43212 USA

[14] Int Sch Adv Studies SISSA, Dept Phys, Trieste, Italy

[15] Leibniz Inst Neurobiol, Res Grp Comparat Neurosci, Magdeburg, Germany

[16] Univ Saarland, Theoret Phys, D-66123 Saarbrucken, Germany

[17] Univ Saarland, Ctr Biophys, D-66123 Saarbrucken, Germany

[18] Imperial Coll London, Dept Math, London SW7 2AZ, England

[19] Max Planck Inst Human Dev, Ctr Adapt Rat, Max von Laue Str, D-60438 Berlin, Germany

[20] Max Planck Inst Brain Res, Max von Laue Str 4, D-60438 Frankfurt, Germany

[21] Tech Univ Munich, Sch Life Sci, Alte Akad 8, D-85354 Freising Weihenstephan, Germany

[22] Tech Univ Munich, Dept Math, Sch Computat Informat & Technol, Boltzmannstr 3, D-85748 Garching, Germany

[23] CNR Consiglio Nazl Ric, Ist Sistemi Complessi, Via Madonna Piano 10, I-50019 Sesto Fiorentino, Italy

[24] INFN, Sez Firenze, Via Sansone 1, I-50019 Sesto Fiorentino, FI, Italy

[25] Tech Univ Berlin, Inst Theoret Phys, Hardenbergstr 36, Berlin, Germany

[26] Humboldt Univ, Bernstein Ctr Computat Neurosci Berlin, D-10115 Berlin, Germany

[27] Univ Chicago, Pritzker Sch Mol Engn, Chicago, IL 60637 USA

[28] Stanford Univ, Sch Med, Dept Neurosurg, Stanford, CA 94304 USA

[29] Univ Gothenburg, Dept Phys, Gothenburg, Sweden

[30] Humboldt Univ, Dept Math, Rudower Chaussee 25, D-12489 Berlin, Germany

来源：

CHAOS | 2023年 / 33卷 / 07期

基金：

欧洲研究理事会; 欧盟地平线“2020”;

关键词：

DEEP-BRAIN-STIMULATION; TIMING-DEPENDENT PLASTICITY; ROBUST PERFECT ADAPTATION; TERM SYNAPTIC PLASTICITY; EVOLUTIONARY GAME-THEORY; DEMAND-SIDE MANAGEMENT; PARKINSONS-DISEASE; COORDINATED RESET; SUBTHALAMIC NUCLEUS; TIPPING ELEMENTS;

D O I：

10.1063/5.0147231

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

Adaptivity is a dynamical feature that is omnipresent in nature, socio-economics, and technology. For example, adaptive couplings appear in various real-world systems, such as the power grid, social, and neural networks, and they form the backbone of closed-loop control strategies and machine learning algorithms. In this article, we provide an interdisciplinary perspective on adaptive systems. We reflect on the notion and terminology of adaptivity in different disciplines and discuss which role adaptivity plays for various fields. We highlight common open challenges and give perspectives on future research directions, looking to inspire interdisciplinary approaches.

引用

页数：42

共 50 条

[21] Adaptive control for nonlinear nonnegative dynamical systems
Haddad, WM
Hayakawa, T
AUTOMATICA, 2004, 40 (09) : 1637 - 1642
[22] The Adaptive Spectral Koopman Method for Dynamical Systems*
Li, Bian
Ma, Yian
Kutz, J. Nathan
Yang, Xiu
SIAM JOURNAL ON APPLIED DYNAMICAL SYSTEMS, 2023, 22 (03): : 1523 - 1551
[23] Adaptive sampling methods for learning dynamical systems
Zhao, Zichen
Li, Qianxiao
MATHEMATICAL AND SCIENTIFIC MACHINE LEARNING, VOL 190, 2022, 190
[24] Nonlinear dynamical systems and adaptive filters in biomedicine
Pardalos, PM
Sackellares, JC
Yatsenko, VA
Butenko, SI
ANNALS OF OPERATIONS RESEARCH, 2003, 119 (1-4) : 119 - 142
[25] Adaptive control of nonlinear uncertain dynamical systems
Ghanem, R
Bujakov, M
Torikoshi, K
Itoh, H
Inazuka, T
Hiei, H
Watanabe, T
JOURNAL OF ENGINEERING MECHANICS-ASCE, 1997, 123 (11): : 1161 - 1169
[26] Adaptive fuzzy modeling of nonlinear dynamical systems
Tan, SH
Yu, Y
AUTOMATICA, 1996, 32 (04) : 637 - 643
[27] Adaptive control for uncertain dynamical systems with nonlinear reference systems
Gruenwald, Benjamin C.
Yucelen, Tansel
De La Torre, Gerardo
Muse, Jonathan A.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2020, 51 (04) : 687 - 703
[28] Adaptive Biometric Systems: Review and Perspectives
Pisani, Paulo Henrique
Mhenni, Abir
Giot, Romain
Cherrier, Estelle
Poh, Norman
De Leon Ferreira De Carvalho, Andre Carlos Ponce
Rosenberger, Christophe
Ben Amara, Najoua Essoukri
ACM COMPUTING SURVEYS, 2019, 52 (05)
[29] Ontogenesis of learning and memory: Biopsychosocial and dynamical systems perspectives
Cuevas, Kimberly
Sheya, Adam
DEVELOPMENTAL PSYCHOBIOLOGY, 2019, 61 (03) : 402 - 415
[30] Adaptive parallel identification of dynamical systems by adaptive recurrent neural networks
Lo, JT
Bassu, D
PROCEEDINGS OF THE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS 2003, VOLS 1-4, 2003, : 914 - 918

← 1 2 3 4 5 →