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Titlebook: Controllability, Identification, and Randomness in Distributed Systems; Marzieh Nabi-Abdolyousefi Book 2014 Springer International Publish

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書(shū)目名稱(chēng)Controllability, Identification, and Randomness in Distributed Systems
編輯Marzieh Nabi-Abdolyousefi
視頻videohttp://file.papertrans.cn/238/237453/237453.mp4
概述Nominated by the University of Washington as an outstanding Ph.D. thesis.Demonstrates how a diffusion-based network can be controlled or observed by external entities in presence of randomness in the
叢書(shū)名稱(chēng)Springer Theses
圖書(shū)封面Titlebook: Controllability, Identification, and Randomness in Distributed Systems;  Marzieh Nabi-Abdolyousefi Book 2014 Springer International Publish
描述This interdisciplinary thesis involves the design and analysis of coordination algorithms on networks, identification of dynamic networks and estimation on networks with random geometries with implications for networks that support the operation of dynamic systems, e.g., formations of robotic vehicles, distributed estimation via sensor networks. The results have ramifications for fault detection and isolation of large-scale networked systems and optimization models and algorithms for next generation aircraft power systems. The author finds novel applications of the methodology in energy systems, such as residential and industrial smart energy management systems.
出版日期Book 2014
關(guān)鍵詞Cartesian Product Networks; Circulant Networks; Controllability Gramian; Fault Detection; Linear Quadrat
版次1
doihttps://doi.org/10.1007/978-3-319-02429-5
isbn_softcover978-3-319-34853-7
isbn_ebook978-3-319-02429-5Series ISSN 2190-5053 Series E-ISSN 2190-5061
issn_series 2190-5053
copyrightSpringer International Publishing Switzerland 2014
The information of publication is updating

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System Properties of Stochastic Networks: Controllability and Optimalityworks. The randomness could be presented in the network topology, e.g., whether two nodes are connected based on a random distribution. The randomness could also be contributed by the randomly selected input and/or output nodes. We, then, present a framework for designing estimator and feedback cont
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Coordinated Decentralized Estimation Over Random Networkss work is to highlight that these problems, among many others, can be approached via a unified formulation. The unified formulation can subsequently be utilized for proving almost sure stability and convergence of filtering algorithms over distinct classes of random networks. More specifically, we s
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978-3-319-34853-7Springer International Publishing Switzerland 2014
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Controllability and Observability of Path Networksed the Cauchy-Binet formula, which, in conjunction with the Popov-Belevitch-Hautus test, provided a new method to examine controllability properties for systems with Circulant underlying communication structure. This chapter demonstrates how the method is also utilized to fully characterize the controllability of path graphs.
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