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dc.contributor.authorNi
dc.contributor.authorXiangyu;Goodwine
dc.contributor.authorBill
dc.date.accessioned2022-08-18T12:55:17Z
dc.date.available2022-08-18T12:55:17Z
dc.date.copyright6/15/2022 12:00:00 AM
dc.date.issued2022
dc.identifier.issn0022-0434
dc.identifier.otherds_144_08_081007.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4287103
dc.description.abstractLarge-scale dynamical systems, no matter whether possessing interconnected appearances, are frequently modeled as networks. For instance, graphs, multi-agent systems, and materials' intricate behaviors are often treated as networked dynamical systems. However, only a few studies have approached the problem in the frequency domain, mostly due to the complexity of evaluating their frequency response. That gap is filled by this paper, which proposes algorithms computing a general class of self-similar networks' frequency response and transfer functions, no matter they are finite or infinite, damaged or undamaged. In addition, this paper shows that for infinite self-similar networks, even when they are damaged, fractional-order and irrational dynamics naturally come into sight. Most importantly, this paper illustrates that for a network under different operating conditions, its frequency response would form a set of neighboring plants, which sets the basis of applying robust control methods to dynamic networks.
dc.publisherThe American Society of Mechanical Engineers (ASME)
dc.titleFrequency Response and Transfer Functions of Large Self-Similar Networks
dc.typeJournal Paper
dc.journal.volume144
dc.journal.issue8
dc.journal.titleJournal of Dynamic Systems, Measurement, and Control
dc.identifier.doi10.1115/1.4054645
dc.journal.fristpage81007-1
dc.journal.lastpage81007-18
dc.page18
dc.treeJournal of Dynamic Systems, Measurement, and Control:;2022:;volume( 144 ):;issue: 008
dc.contenttypeFulltext


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