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020 _a9783030364724
_9978-3-030-36472-4
024 7 _a10.1007/978-3-030-36472-4
_2doi
050 4 _aTK5105.5-5105.9
072 7 _aUKN
_2bicssc
072 7 _aCOM043000
_2bisacsh
072 7 _aUKN
_2thema
082 0 4 _a004.6
_223
100 1 _aLeitold, Dániel.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aNetwork-Based Analysis of Dynamical Systems
_h[electronic resource] :
_bMethods for Controllability and Observability Analysis, and Optimal Sensor Placement /
_cby Dániel Leitold, Ágnes Vathy-Fogarassy, János Abonyi.
250 _a1st ed. 2020.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2020.
300 _aXIII, 110 p. 53 illus., 43 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringerBriefs in Computer Science,
_x2191-5776
505 0 _a1. Introduction -- 2. Structural Controllability and Observability Analysis in Complex Networks -- 3. Reduction of Relative Degree by Optimal Control and Sensor Placement -- 4. Applications to the analysis of Heat Exchanger Networks -- 5. The NOCAD MATLAB/Octave Toolbox Developed for the Analysis of Dynamical Systems -- 6. Summary.
520 _aThis 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. .
650 0 _aComputer networks .
650 0 _aControl engineering.
650 0 _aMultibody systems.
650 0 _aVibration.
650 0 _aMechanics, Applied.
650 1 4 _aComputer Communication Networks.
650 2 4 _aControl and Systems Theory.
650 2 4 _aMultibody Systems and Mechanical Vibrations.
700 1 _aVathy-Fogarassy, Ágnes.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aAbonyi, János.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030364717
776 0 8 _iPrinted edition:
_z9783030364731
830 0 _aSpringerBriefs in Computer Science,
_x2191-5776
856 4 0 _uhttps://doi.org/10.1007/978-3-030-36472-4
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
942 _cSPRINGER
999 _c187059
_d187059