162621 20251017144601.0 doi 10.1016/j.physd.2025.134838 sideral 145196 ART-2025-145196 eng Cheng, Changqing Uncertainty Quantification in Complex Dynamical Systems 2025 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... info:eu-repo/semantics/closedAccess All rights reserved http://www.europeana.eu/rights/rr-f/ info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Ichinose, Genki Small, Michael Moreno, Yamir Universidad de Zaragoza (orcid)0000-0002-0895-1893 2004 405 Universidad de Zaragoza Dpto. Física Teórica Área Física Teórica 481 (2025), 134838 [3 pp.] Physica, D PHYSICA D-NONLINEAR PHENOMENA 0167-2789 319661 http://zaguan.unizar.es/record/162621/files/texto_completo.pdf Versión publicada 3170490 http://zaguan.unizar.es/record/162621/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:162621 articulos driver 2025-10-17-14:14:18 ARTICLE