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008 151221s2016 sz | s |||| 0|eng d
020 _a9783319269771
_9978-3-319-26977-1
024 7 _a10.1007/978-3-319-26977-1
_2doi
050 4 _aTJ212-225
072 7 _aTJFM
_2bicssc
072 7 _aGPFC
_2bicssc
072 7 _aTEC004000
_2bisacsh
072 7 _aTJFM
_2thema
082 0 4 _a629.8312
_223
082 0 4 _a003
_223
100 1 _aClark, Andrew.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_944945
245 1 0 _aSubmodularity in Dynamics and Control of Networked Systems
_h[electronic resource] /
_cby Andrew Clark, Basel Alomair, Linda Bushnell, Radha Poovendran.
250 _a1st ed. 2016.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2016.
300 _aXVII, 210 p. 63 illus., 48 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 _aCommunications and Control Engineering,
_x2197-7119
505 0 _aPart I: Submodular Functions and Optimization -- Submodular Functions and Matroids -- Centralized Submodular Maximization -- Distributed Submodular Maximization -- Submodularity in Dynamics and Control -- Background on Control of Networked Systems -- Submodular Optimization for Smooth Convergence in Networked Systems -- Selecting Catalyst Nodes for Synchronization -- Input Selection for Robustness to Noise -- Input Node Selection under Noise Injection Attacks -- Input Node Selection for Joint Performance and Controllability.
520 _aThis book presents a framework for the control of networked systems utilizing submodular optimization techniques. The main focus is on selecting input nodes for the control of networked systems, an inherently discrete optimization problem with applications in power system stability, social influence dynamics, and the control of vehicle formations. The first part of the book is devoted to background information on submodular functions, matroids, and submodular optimization, and presents algorithms for distributed submodular optimization that are scalable to large networked systems. In turn, the second part develops a unifying submodular optimization approach to controlling networked systems based on multiple performance and controllability criteria. Techniques are introduced for selecting input nodes to ensure smooth convergence, synchronization, and robustness to environmental and adversarial noise. Submodular optimization is the first unifying approach towards guaranteeing both performance and controllability with provable optimality bounds in static as well as time-varying networks. Throughout the text, the submodular framework is illustrated with the help of numerical examples and application-based case studies in biological, energy and vehicular systems. The book effectively combines two areas of growing interest, and will be especially useful for researchers in control theory, applied mathematics, networking or machine learning with experience in submodular optimization but who are less familiar with the problems and tools available for networked systems (or vice versa). It will also benefit graduate students, offering consistent terminology and notation that greatly reduces the initial effort associated with beginning a course of study in a new area.
650 0 _aControl engineering.
_931970
650 0 _aSystem theory.
_93409
650 0 _aControl theory.
_93950
650 0 _aTelecommunication.
_910437
650 1 4 _aControl and Systems Theory.
_931972
650 2 4 _aSystems Theory, Control .
_931597
650 2 4 _aCommunications Engineering, Networks.
_931570
700 1 _aAlomair, Basel.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_944946
700 1 _aBushnell, Linda.
_eauthor.
_0(orcid)0000-0002-8751-2409
_1https://orcid.org/0000-0002-8751-2409
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_944947
700 1 _aPoovendran, Radha.
_eauthor.
_0(orcid)0000-0003-0269-8097
_1https://orcid.org/0000-0003-0269-8097
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_944948
710 2 _aSpringerLink (Online service)
_944949
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319269757
776 0 8 _iPrinted edition:
_z9783319269764
776 0 8 _iPrinted edition:
_z9783319800516
830 0 _aCommunications and Control Engineering,
_x2197-7119
_944950
856 4 0 _uhttps://doi.org/10.1007/978-3-319-26977-1
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c77589
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