Robuta

https://www.kth.se/sv/math/kalender/semna/mengwu-guo-probabilistic-learning-for-compact-dynamical-representations-of-nonlinear-systems-1.1384517?date=2025-06-12&orgdate=2025-04-25&length=1&orglength=251
guoprobabilisticlearningcompactdynamical
https://www.kth.se/en/om/upptack/kalender/approaches-to-accelerate-methods-for-solving-systems-of-equations-arising-in-nonlinear-optimization-1.1030022?date=2020-12-18&orgdate=2020-09-16&length=1&orglength=107
systems of equationsapproachesacceleratemethodssolving
https://arxiv.org/abs/2403.03117
Abstract page for arXiv paper 2403.03117: Input-Output Extension of Underactuated Nonlinear Systems
input outputnonlinear systemsextension
https://gotopia.tech/episodes/328/learning-system-thinking
Oct 24, 2024
systems thinkinglearningessentialnonlinearskills
https://www.mdpi.com/journal/applsci/special_issues/Nonlinear_System_Traffic
The recent developments in science and technology call for advanced instruments for a robust systems engineering and/or analysis, especially regarding...
nonlinear systemstraffic flowintelligent transportationmodels
https://www.uni-kassel.de/eecs/control/lehre/nonlinear-control-systems
nonlinear controlsystemsncseecsuni
https://master-atsi.github.io/ue/nl-sys/
Master in Control, Signal & Image and Statistical Learning.
nonlinear systemsstabilityatsi
https://www.kth.se/en/om/upptack/kalender/disputationer/deep-learning-based-state-and-parameter-estimation-in-nonlinear-dynamical-systems-1.1438177
deep learningparameter estimationbasedstatenonlinear
https://www.springerprofessional.de/en/modeling-of-safe-object-detection-by-near-field-and-nonlinear-ra/51688394
The article provides a comparative analysis of short-range and nonlinear radar with a view to further modernization of inspection and surveillance
object detectionnear fieldmodelingsafenonlinear
https://arxiv.org/abs/2104.13447v1
Abstract page for arXiv paper 2104.13447v1: Accelerated derivative-free spectral residual method for nonlinear systems of equations
derivativefreespectralresidualmethod
https://www.asme.org/get-involved/groups-sections-and-technical-divisions/technical-divisions/technical-divisions-community-pages/design-engineering-division/technical-committees/multibody-systems,-nonlinear-dynamics,-and-control-technical-committee-(tc-msndc)
The Technical Committee on Multibody Systems & Nonlinear Dynamics encourages experimental, symbolic, computational, & analytical activities within its field.
nonlinear dynamicsmultibodysystemscontroltc