Observability of multivariate differential embeddings

By Luis A. Aguirre, C. Letellier. 2005

53 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Control and Systems Engineering, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/40b7fc388f99f819daecb6c50c51a78d4f3ff4c5

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Yang-Yu Liu
2. Albert-László Barabási
3. Steven L. Brunton
4. J. Nathan Kutz
5. Bingni W. Brunton
6. Joshua L. Proctor
7. Eurika Kaiser
8. Marc Barthelemy

In Control and Systems Engineering

1. Steven L. Brunton
2. J. Nathan Kutz
3. Eurika Kaiser
4. Joshua L. Proctor
5. Bingni W. Brunton
6. Albert-László Barabási
7. Yang-Yu Liu
8. Maizar Raissi

In Statistical and Nonlinear Physics

1. Steven L. Brunton
2. J. Nathan Kutz
3. Eurika Kaiser
4. Bingni W. Brunton
5. Joshua L. Proctor
6. Maizar Raissi
7. Igor Mezi'c
8. G. Em Karniadakis

Citations in the corpus

• Control Principles of Complex Networks (2015, methodology): “Finally, we introduce a graphical approach to identify the minimum set of sensor nodes that assure the observability of nonlinear systems (Aguirre and Letellier, 2005; Khan and Doostmohammadian, 2011; Khan and Moura, 2008; Letellier and Aguirre, 2005; Letellier et al., 2006; Letellier and Aguirre,…”
• Chaos as an intermittently forced linear system (2016, background): “Takens embedding theory has been related to nonlinear observability [4, 5], providing a much needed connection between these two important fields.”