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Analysis and Design of Robust and Hi...
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Siami, Milad.
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Analysis and Design of Robust and High-Performance Complex Dynamical Networks.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Analysis and Design of Robust and High-Performance Complex Dynamical Networks./
作者:
Siami, Milad.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2017,
面頁冊數:
304 p.
附註:
Source: Dissertation Abstracts International, Volume: 78-07(E), Section: B.
Contained By:
Dissertation Abstracts International78-07B(E).
標題:
Mechanical engineering. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10222986
ISBN:
9781369636888
Analysis and Design of Robust and High-Performance Complex Dynamical Networks.
Siami, Milad.
Analysis and Design of Robust and High-Performance Complex Dynamical Networks.
- Ann Arbor : ProQuest Dissertations & Theses, 2017 - 304 p.
Source: Dissertation Abstracts International, Volume: 78-07(E), Section: B.
Thesis (Ph.D.)--Lehigh University, 2017.
This item is not available from ProQuest Dissertations & Theses.
In the first part of this dissertation, we develop some basic principles to investigate performance deterioration of dynamical networks subject to external disturbances. First, we propose a graph-theoretic methodology to relate structural specifications of the coupling graph of a linear consensus network to its performance measure. Moreover, for this class of linear consensus networks, we introduce new insights into the network centrality based not only on the network graph but also on a more structured model of network uncertainties. Then, for the class of generic linear networks, we show that the H2-norm, as a performance measure, can be tightly bounded from below and above by some spectral functions of state and output matrices of the system. Finally, we study nonlinear autocatalytic networks and exploit their structural properties to characterize their existing hard limits and essential tradeoffs.
ISBN: 9781369636888Subjects--Topical Terms:
649730
Mechanical engineering.
Analysis and Design of Robust and High-Performance Complex Dynamical Networks.
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In the first part of this dissertation, we develop some basic principles to investigate performance deterioration of dynamical networks subject to external disturbances. First, we propose a graph-theoretic methodology to relate structural specifications of the coupling graph of a linear consensus network to its performance measure. Moreover, for this class of linear consensus networks, we introduce new insights into the network centrality based not only on the network graph but also on a more structured model of network uncertainties. Then, for the class of generic linear networks, we show that the H2-norm, as a performance measure, can be tightly bounded from below and above by some spectral functions of state and output matrices of the system. Finally, we study nonlinear autocatalytic networks and exploit their structural properties to characterize their existing hard limits and essential tradeoffs.
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In the second part, we consider problems of network synthesis for performance enhancement. First, we propose an axiomatic approach for the design and performance analysis of linear consensus networks by introducing a notion of systemic performance measure. We build upon this new notion and investigate a general form of combinatorial problem of growing a linear consensus network via minimizing a given systemic performance measure. Two efficient polynomial-time approximation algorithms are devised to tackle this network synthesis problem. Then, we investigate the optimal design problem of distributed system throttlers. A throttler is a mechanism that limits the flow rate of incoming metrics, e.g., byte per second, network bandwidth usage, capacity, traffic, etc. Finally, a framework is developed to produce a sparse approximation of a given large-scale network with guaranteed performance bounds using a nearly-linear time algorithm.
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