Back to results

University of Cambridge

Disturbance Attenuation in Mass Chains with Passive Interconnection

Abstract

dc:description.abstract

This thesis is concerned with disturbance amplification in interconnected systems which may consist of a large number of elements. The main focus is on passive control of a chain of interconnected masses where a single point is subject to an external disturbance. The problem arises in the design of multi-storey buildings subjected to earthquake disturbances, but applies in other situations such as bidirectional control of vehicle platoons. It is shown that the scalar transfer functions from the disturbance to a given intermass displacement can be represented as a complex iterative map. This description is used to establish uniform boundedness of the \mathcal{H}\infty-norm of these transfer functions for certain choices of interconnection impedance. A graphical method for selecting an impedance such that the \mathcal{H}\infty-norm is no greater than a prescribed value for an arbitrary length of the mass chain is given. A design methodology for a fixed length of the mass chain is also provided. A case study for a 10-storey building model demonstrates the validity of this method.

Degree

thesis:*
Name dc:type.qualificationname
Doctor of Philosophy (PhD)
Level dc:type.qualificationlevel
Doctoral
Grantor dc:publisher.institution
University of Cambridge
Year dc:date.issued
2016

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Yamamoto, Kaoru
Advisor dc:contributor.advisor
  • Smith, Malcolm C.

Subjects

dc:subject × 6

Rights

dc:rights
Language dc:language
en

Identifiers

dc:identifier.*
Author Identifier
0000-0003-1888-3529
OAI identifier oai:identifier
oai:www.repository.cam.ac.uk:1810/279020

Chain of custody

source
Harvested from
Cambridge University
Base URL
api.repository.cam.ac.uk/server/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Yamamoto, Kaoru. Disturbance Attenuation in Mass Chains with Passive Interconnection. Doctoral thesis, University of Cambridge, 2016. https://doi.org/10.17863/CAM.26393