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_9978-981-10-8409-6
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082 0 4 _a006.3
_223
100 1 _aTri Tran C., Anthony.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 2 _aA Quadratic Constraint Approach to Model Predictive Control of Interconnected Systems
_h[electronic resource] /
_cby Anthony Tri Tran C., Quang Ha.
250 _a1st ed. 2018.
264 1 _aSingapore :
_bSpringer Singapore :
_bImprint: Springer,
_c2018.
300 _aXVII, 236 p. 100 illus., 83 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 _aStudies in Systems, Decision and Control,
_x2198-4182 ;
_v148
500 _aAcceso multiusuario
505 0 _aIntroduction -- Quadratic Constraint for Decentralised Model Predictive Control -- Quadratic Constraint for Parallel Splitting Systems -- Quadratic Constraint for Semi-Automatic Control -- Quadratic Constraint with Data Losses.
520 _aThis book focuses on the stabilization and model predictive control of interconnected systems with mixed connection configurations. It introduces the concept of dissipation-based quadratic constraint for developing attractivity assurance methods for interconnected systems. In order to develop these methods, distributed and decentralized architectures are employed, whereby the communication between subsystems is fully connected, partially connected, or completely disconnected. Given that the control inputs are entirely or partially decoupled between subsystems and no additional constraints are imposed on the interactive variables beyond the coupling constraint itself, the proposed approaches can be used with various types of systems and applications. Further, the book describes how the effects of coupling delays and data losses in device networks are resolved. From a practical perspective, the innovations presented are of benefit in applications in a broad range of fields, including the process and manufacturing industries, networked robotics, and network-centric systems such as chemical process systems, power systems, telecommunication networks, transportation networks, and, no less importantly, supply chain automation.
541 _fUABC ;
_cTemporal ;
_d01/01/2021-12/31/2023.
650 0 _aComputational intelligence.
650 0 _aControl engineering.
650 0 _aElectrical engineering.
650 1 4 _aComputational Intelligence.
_0https://scigraph.springernature.com/ontologies/product-market-codes/T11014
650 2 4 _aControl and Systems Theory.
_0https://scigraph.springernature.com/ontologies/product-market-codes/T19010
650 2 4 _aCommunications Engineering, Networks.
_0https://scigraph.springernature.com/ontologies/product-market-codes/T24035
700 1 _aHa, Quang.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789811084072
776 0 8 _iPrinted edition:
_z9789811084089
776 0 8 _iPrinted edition:
_z9789811341427
830 0 _aStudies in Systems, Decision and Control,
_x2198-4182 ;
_v148
856 4 0 _zLibro electrónico
_uhttp://148.231.10.114:2048/login?url=https://doi.org/10.1007/978-981-10-8409-6
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cLIBRO_ELEC
999 _c242125
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