Uncertainty Quantification in Complex Dynamical Systems

Cheng, Changqing ; Ichinose, Genki ; Small, Michael ; Moreno, Yamir (Universidad de Zaragoza)

Resumen: Uncertainty plays a significant role in modelling, simulating, and performance optimization of complex dynamical systems. Quantifying and reducing the uncertainty effects in system design, simulation and control is critical to ensure robust and reliable system operations. The applications include power grid network, transportation systems, epidemic modeling and intervention, as well as climate simulation, among others. Particularly, the nonlinear dynamics underlying such systems (e.g., time-varying power load, time-resolved human mobility, and spatiotemporal variation of air temperature) brings forward additional challenges in characterizing the uncertainty. Uncertainty quantification (UQ) research, including reliability analysis, reliability-based design optimization, model validation, sensitivity analysis, and robust design, are deemed essential in improving the performance of those nonlinear dynamical systems...

Idioma: Inglés

DOI: 10.1016/j.physd.2025.134838

Año: 2025

Publicado en: PHYSICA D-NONLINEAR PHENOMENA 481 (2025), 134838 [3 pp.]
ISSN: 0167-2789

Tipo y forma: Artículo (Versión definitiva)

Área (Departamento): Área Física Teórica (Dpto. Física Teórica)