activity
20172025
most citedSTRIKE-GOLDD 4.0: user-friendly, efficient analysis of structural identifiability and observability

7 citations · 11 across the 8 of their papers we have counts for

collaborators
Showing eess.SYShow all

5 papers · 1 filter

eess.SY2024

Analysing control-theoretic properties of nonlinear synthetic biology circuits

Antón Pardo, Sandra Díaz Seoane, Dorin A. Ionescu +2

Synthetic biology is a recent area of biological engineering, whose aim is to provide cells with novel functionalities. A number of important results regarding the development of c…

eess.SY2022★ 7 cited

STRIKE-GOLDD 4.0: user-friendly, efficient analysis of structural identifiability and observability

Sandra Díaz-Seoane, Xabier Rey-Barreiro, Alejandro F. Villaverde

Structural identifiability and observability are desirable properties of systems biology models. Many software toolboxes have been developed for their analysis in the last decades.…

eess.SY2022

Benchmarking tools for a priori identifiability analysis

Xabier Rey Barreiro, Alejandro F. Villaverde

The structural identifiability and the observability of a model determine the possibility of inferring its parameters and states by observing its outputs. These properties should b…

eess.SY2020

Repairing dynamic models: a method to obtain identifiable and observable reparameterizations with mechanistic insights

Gemma Massonis, Julio R. Banga, Alejandro F. Villaverde

Mechanistic dynamic models allow for a quantitative and systematic interpretation of data and the generation of testable hypotheses. However, these models are often over-parameteri…

eess.SY2020

Nonlinear observability algorithms with known and unknown inputs: analysis and implementation

Nerea Martínez, Alejandro F. Villaverde

The observability of a dynamical system is affected by the presence of external inputs, either known (such as control actions) or unknown (disturbances). Inputs of unknown magnitud…