ArticleIEEE transactions on network science and engineering
Nonlinear control of networked dynamical systems.
Article in IEEE transactions on network science and engineering. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed.
- Predicting network dynamics without requiring the knowledge of the interaction graph.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- The expanding horizons of network neuroscience: From description to prediction and control.NeuroImage · 2022Review
- Dynamic Event-Triggered Predictive Control for Interval Type-2 Fuzzy Systems with Imperfect Premise Matching.Entropy (Basel, Switzerland) · 2021Article
- Article
- Optimizing hyperparameters of deep reinforcement learning for autonomous driving based on whale optimization algorithm.PloS one · 2021Article
- Article
- Nonlinear Control in the NematodeFrontiers in computational neuroscience · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
We develop a principled mathematical framework for controlling nonlinear, networked dynamical systems. Our method integrates dimensionality reduction, bifurcation theory, and emerging model discovery tools to find low-dimensional subspaces where feed-forward control can be used to manipulate a system to a desired outcome. The method leverages the fact that many high-dimensional networked systems have many fixed points, allowing for the computation of control signals that will move the system between any pair of fixed points. The
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.