Uncertainty modeling of spatially invariant distributed dynamical systems

Jokić, Marko and Dogančić, Bruno and Jokić, Andrej and Lobrović, Mihael (2017) Uncertainty modeling of spatially invariant distributed dynamical systems. = Uncertainty modeling of spatially invariant distributed dynamical systems. In: International Conference on Adaptive Modeling and Simulation ADMOS 2017, 26-28.06.2017., Verbania, Italija.

Full text not available from this repository.
Official URL: https://www.bib.irb.hr/894769


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.

Item Type: Conference or Workshop Item (Lecture)
Keywords (Croatian): uncertainty modeling, decentralized control, spatially distributed system
Subjects: TECHNICAL SCIENCE > Mechanical Engineering
Divisions: 200 Department of Engineering Mechanics > 230 Chair of Mechanical Systems Dynamics
900 Department of Robotics and Production System Automation > 910 Chair of Engineering Automation
Indexed in Web of Science: No
Indexed in Current Contents: No
Date Deposited: 14 Sep 2018 07:12
Last Modified: 04 Dec 2018 16:45
URI: http://repozitorij.fsb.hr/id/eprint/8723

Actions (login required)

View Item View Item

Nema podataka za dohvacanje citata