We consider the optimal experimental design problem for an uncertain Kuramoto model, which consists of N interacting oscillators described by coupled ordinary differential equations. The objective is to experiments that can effectively reduce uncertainty present in coupling strengths between oscillators, thereby minimizing cost robust control model. demonstrate importance quantifying operationa...

Related DatabasesWeb of Science You must be logged in with an active subscription to view this.Article DataHistorySubmitted: 23 June 2020Accepted: 22 January 2021Published online: 13 May 2021Keywordsoptimal experimental design, uncertainty quantification, learning, rare events, importance samplingAMS Subject Headings62G32, 60G70, 62D05Publication DataISSN (online): 2166-2525Publisher: Society f...

Abstract Reducing the radiated noise of a gearbox is difficult problem in aviation, navigation, machinery, and other fields. Structural improvement main means reduction for gearbox, it realized primarily through contribution analysis structure optimization. However, these approaches have certain limitations. In this study, low-noise design method that combines two proposed, experimental verific...

Abstract Engineering problems that are modeled using sophisticated mathematical methods or characterized by expensive-to-conduct tests experiments encumbered with limited budget finite computational resources. Moreover, practical scenarios in the industry, impose restrictions, based on logistics and preference, manner which can be conducted. For example, material supply may enable only a handfu...