Irrelevance of linear controllability to nonlinear dynamical networks
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Irrelevance of linear controllability to nonlinear dynamical networks
Authors
Keywords
-
Journal
Nature Communications
Volume 10, Issue 1, Pages -
Publisher
Springer Science and Business Media LLC
Online
2019-09-03
DOI
10.1038/s41467-019-11822-5
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Predicting tipping points in mutualistic networks through dimension reduction
- (2018) Junjie Jiang et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Colloquium : Control of dynamics in brain networks
- (2018) Evelyn Tang et al. REVIEWS OF MODERN PHYSICS
- Indirect effects drive coevolution in mutualistic networks
- (2017) Paulo R. Guimarães et al. NATURE
- Network control principles predict neuron function in the Caenorhabditis elegans connectome
- (2017) Gang Yan et al. NATURE
- Closed-Loop Control of Complex Networks: A Trade-Off between Time and Energy
- (2017) Yong-Zheng Sun et al. PHYSICAL REVIEW LETTERS
- Locally Optimal Control of Complex Networks
- (2017) Isaac Klickstein et al. PHYSICAL REVIEW LETTERS
- Structure-based control of complex networks with nonlinear dynamics
- (2017) Jorge Gomez Tejeda Zañudo et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Energy scaling of targeted optimal control of complex networks
- (2017) Isaac Klickstein et al. Nature Communications
- Developmental increases in white matter network controllability support a growing diversity of brain dynamics
- (2017) Evelyn Tang et al. Nature Communications
- Physical controllability of complex networks
- (2017) Le-Zhi Wang et al. Scientific Reports
- Correlations in the degeneracy of structurally controllable topologies for networks
- (2017) Colin Campbell et al. Scientific Reports
- Universal resilience patterns in complex networks
- (2016) Jianxi Gao et al. NATURE
- Control principles of complex systems
- (2016) Yang-Yu Liu et al. REVIEWS OF MODERN PHYSICS
- A geometrical approach to control and controllability of nonlinear dynamical networks
- (2016) Le-Zhi Wang et al. Nature Communications
- Stimulation-Based Control of Dynamic Brain Networks
- (2016) Sarah Feldt Muldoon et al. PLoS Computational Biology
- Energy scaling and reduction in controlling complex networks
- (2016) Yu-Zhong Chen et al. Royal Society Open Science
- Structurally robust control of complex networks
- (2015) Jose C. Nacher et al. PHYSICAL REVIEW E
- Structural permeability of complex networks to control signals
- (2015) Francesco Lo Iudice et al. Nature Communications
- Controllability of structural brain networks
- (2015) Shi Gu et al. Nature Communications
- The sudden collapse of pollinator communities
- (2014) J. Jelle Lever et al. ECOLOGY LETTERS
- Exact controllability of multiplex networks
- (2014) Zhengzhong Yuan et al. NEW JOURNAL OF PHYSICS
- Network Controllability Is Determined by the Density of Low In-Degree and Out-Degree Nodes
- (2014) Giulia Menichetti et al. PHYSICAL REVIEW LETTERS
- Critical slowing down as early warning for the onset of collapse in mutualistic communities
- (2014) Vasilis Dakos et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Controllability in protein interaction networks
- (2014) S. Wuchty PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- On the structural stability of mutualistic systems
- (2014) R. P. Rohr et al. SCIENCE
- Control Profiles of Complex Networks
- (2014) J. Ruths et al. SCIENCE
- Tipping points in ecological networks
- (2014) Jason M. Tylianakis et al. TRENDS IN PLANT SCIENCE
- Dynamics and Control at Feedback Vertex Sets. I: Informative and Determining Nodes in Regulatory Networks
- (2013) Bernold Fiedler et al. Journal of Dynamics and Differential Equations
- Dynamics and control at feedback vertex sets. II: A faithful monitor to determine the diversity of molecular activities in regulatory networks
- (2013) Atsushi Mochizuki et al. JOURNAL OF THEORETICAL BIOLOGY
- Exact controllability of complex networks
- (2013) Zhengzhong Yuan et al. Nature Communications
- COEVOLUTION AND THE ARCHITECTURE OF MUTUALISTIC NETWORKS
- (2012) Scott L. Nuismer et al. EVOLUTION
- Controlling edge dynamics in complex networks
- (2012) Tamás Nepusz et al. Nature Physics
- Dominating scale-free networks with variable scaling exponent: heterogeneous networks are not difficult to control
- (2012) Jose C Nacher et al. NEW JOURNAL OF PHYSICS
- Optimizing controllability of complex networks by minimum structural perturbations
- (2012) Wen-Xu Wang et al. PHYSICAL REVIEW E
- Controlling Complex Networks: How Much Energy Is Needed?
- (2012) Gang Yan et al. PHYSICAL REVIEW LETTERS
- Generic Indicators for Loss of Resilience Before a Tipping Point Leading to Population Collapse
- (2012) L. Dai et al. SCIENCE
- Evolution and coevolution in mutualistic networks
- (2011) Paulo R. Guimarães Jr et al. ECOLOGY LETTERS
- Controllability of complex networks
- (2011) Yang-Yu Liu et al. NATURE
- Regime shifts in ecological systems can occur with no warning
- (2010) Alan Hastings et al. ECOLOGY LETTERS
- Early warning signals of extinction in deteriorating environments
- (2010) John M. Drake et al. NATURE
- Foreseeing tipping points
- (2010) Marten Scheffer NATURE
- Early-warning signals for critical transitions
- (2009) Marten Scheffer et al. NATURE
- Controllability of Multi-Agent Systems from a Graph-Theoretic Perspective
- (2009) Amirreza Rahmani et al. SIAM JOURNAL ON CONTROL AND OPTIMIZATION
- On pinning synchronization of complex dynamical networks
- (2008) Wenwu Yu et al. AUTOMATICA
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started