ArticlePloS one2018
Structural, dynamical and symbolic observability: From dynamical systems to networks.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed.
- Towards Digital Twin-Oriented Complex Networked Systems: Introducing heterogeneous node features and interaction rules.PloS one · 2024Article
- Predictive neuromodulation of cingulo-frontal neural dynamics in major depressive disorder using a brain-computer interface system: A simulation study.Frontiers in computational neuroscience · 2023Article
- Functional observability and target state estimation in large-scale networks.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Principles and open questions in functional brain network reconstruction.Human brain mapping · 2021Review
- Data-driven method to infer the seizure propagation patterns in an epileptic brain from intracranial electroencephalography.PLoS computational biology · 2021Article
- Assessing observability of chaotic systems using Delay Differential Analysis.Chaos (Woodbury, N.Y.) · 2020Article
- A topology-dynamics-based control strategy for multi-dimensional complex networked dynamical systems.Scientific reports · 2019Article
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3 authors.
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Abstract
Classical definitions of observability classify a system as either being observable or not. Observability has been recognized as an important feature to study complex networks, and as for dynamical systems the focus has been on determining conditions for a network to be observable. About twenty years ago continuous measures of observability for nonlinear dynamical systems started to be used. In this paper various aspects of observability that are established for dynamical systems will be investigated in the context of networks. In particular it will be discussed in which ways simple networks can be ranked in terms of observability using continuous measures of such a property. Also it is pointed out that the analysis of the network topology is typically not sufficient for observability purposes, since both the dynamics and the coupling of such nodes play a vital role. Some of the main ideas are illustrated by means of numerical simulations.
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