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Uncertainty Modeling of Spatially Invariant Distributed Dynamical Systems (CROSBI ID 652271)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Jokić, Marko ; Dogančić, Bruno ; Jokić, Andrej ; Lobrović, Mihael Uncertainty Modeling of Spatially Invariant Distributed Dynamical Systems // Proceedings of International Conference on Adaptive Modeling and Simulation ADMOS 2017 / Perotto, S. ; Díez, P (ur.). Barcelona: International Center for Numerical Methods in Engineering (CIMNE), 2017

Podaci o odgovornosti

Jokić, Marko ; Dogančić, Bruno ; Jokić, Andrej ; Lobrović, Mihael

engleski

Uncertainty Modeling of Spatially Invariant Distributed Dynamical Systems

In this paper, we discuss uncertainty modeling for a spatially invariant damped mechanical system. To be more specific, we consider a mechanical system comprised of a finite number of identical subsystem instances, where each instance is essentially an infinite dimensional mechanical system, i.e. a continuous vibration system. Then, for a single subsystem instance, a series of successively finer spatial discretized models is constructed, as well as an uncertainty model describing a discretization error. Furthermore, by taking into the account the fact that each subsystem is interacting with identical neighboring subsystems, we are able to further refine its uncertainty model and reduce conservatism.

Uncertainty modeling, Decentralized control, Spatially distributed system

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Podaci o prilogu

2017.

objavljeno

Podaci o matičnoj publikaciji

Proceedings of International Conference on Adaptive Modeling and Simulation ADMOS 2017

Perotto, S. ; Díez, P

Barcelona: International Center for Numerical Methods in Engineering (CIMNE)

Podaci o skupu

International Conference on Adaptive Modeling and Simulation ADMOS 2017

predavanje

26.06.2017-28.06.2017

Verbania, Italija

Povezanost rada

Strojarstvo, Temeljne tehničke znanosti