Network-Based Analysis of Dynamical Systems: Methods for Controllability and Observability Analysis, and Optimal Sensor Placement
暫譯: 基於網路的動態系統分析：可控性與可觀測性分析方法及最佳感測器配置
Leitold, Daniel, Vathy-Fogarassy, Agnes, Abonyi, Janos
- 出版商: Springer
- 出版日期: 2020-01-14
- 售價: $2,420
- 貴賓價: 9.5 折 $2,299
- 語言: 英文
- 頁數: 110
- 裝訂: Quality Paper - also called trade paper
- ISBN: 3030364712
- ISBN-13: 9783030364717
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相關分類:
感測器 Sensor
海外代購書籍(需單獨結帳)
相關主題
商品描述
This book explores the key idea that the dynamical properties of complex systems can be determined by effectively calculating specific structural features using network science-based analysis. Furthermore, it argues that certain dynamical behaviours can stem from the existence of specific motifs in the network representation.
Over the last decade, network science has become a widely applied methodology for the analysis of dynamical systems. Representing the system as a mathematical graph allows several network-based methods to be applied, and centrality and clustering measures to be calculated in order to characterise and describe the behaviours of dynamical systems.
The applicability of the algorithms developed here is presented in the form of well-known benchmark examples. The algorithms are supported by more than 50 figures and more than 170 references; taken together, they provide a good overview of the current state of network science-based analysis of dynamical systems, and suggest further reading material for researchers and students alike. The files for the proposed toolbox can be downloaded from a corresponding website.
商品描述(中文翻譯)
這本書探討了一個關鍵觀念，即複雜系統的動態特性可以透過有效計算特定的結構特徵來確定，這是基於網路科學的分析。此外，書中還主張某些動態行為可能源於網路表示中存在特定的模式。
在過去十年中，網路科學已成為分析動態系統的一種廣泛應用的方法論。將系統表示為數學圖形使得可以應用多種基於網路的方法，並計算中心性和聚類度量，以便描述和表徵動態系統的行為。
這裡開發的演算法的適用性以知名的基準範例形式呈現。這些演算法得到了超過50個圖形和超過170個參考文獻的支持；綜合起來，它們提供了網路科學基於動態系統分析的當前狀態的良好概述，並為研究人員和學生建議了進一步的閱讀材料。所提議的工具箱的檔案可以從相應的網站下載。
作者簡介
Dr. János Abonyi is a Full Professor of Computer Science and Chemical Engineering at the Department of Process Engineering, University of Pannonia, Veszprém, Hungary. His other publications include the Springer titles Interpretability of Computational Intelligence-Based Regression Models, and (with Dr. Vathy-Fogarassy) Graph-Based Clustering and Data Visualization Algorithms.
Dr. Ágnes Vathy-Fogarassy is an Associate Professor at the Department of Computer Science and Systems Technology at the University of Pannonia.
Dániel Leitold is an Assistant Lecturer at the University of Pannonia.
作者簡介(中文翻譯)
Dr. János Abonyi 是匈牙利維斯普雷姆潘諾尼亞大學（University of Pannonia）過程工程系的計算機科學與化學工程全職教授。他的其他出版物包括 Springer 出版的《Interpretability of Computational Intelligence-Based Regression Models》和（與 Dr. Vathy-Fogarassy 合著的）《Graph-Based Clustering and Data Visualization Algorithms》。
Dr. Ágnes Vathy-Fogarassy 是潘諾尼亞大學計算機科學與系統技術系的副教授。
Dániel Leitold 是潘諾尼亞大學的助理講師。
