02651nam 2200649z- 450 991056646190332120220506(CKB)5680000000037762(oapen)https://directory.doabooks.org/handle/20.500.12854/81006(oapen)doab81006(EXLCZ)99568000000003776220202205d2022 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierElectrification of Smart CitiesBaselMDPI - Multidisciplinary Digital Publishing Institute20221 online resource (114 p.)3-0365-3964-6 3-0365-3963-8 Electrification plays a key role in decarbonizing energy consumption for various sectors, including transportation, heating, and cooling. There are several essential infrastructures for a smart city, including smart grids and transportation networks. These infrastructures are the complementary solutions to successfully developing novel services, with enhanced energy efficiency and energy security. Five papers are published in this Special Issue that cover various key areas expanding the state-of-the-art in smart cities' electrification, including transportation, healthcare, and advanced closed-circuit televisions for smart city surveillance.History of engineering & technologybicsscTechnology: general issuesbicsscadaptive optimizationblockchaindetourdouble auctionedge enhancementelectric vehicleselectricity tradingenergy conservationenergy consumption monitoringenergy usage behaviourgenerative adversarial networksintelligent transportation systemmulti-exposure image fusionn/aoccupancy monitoringout-of-hours consumptionroute computationsmart citiessmart match mechanismvideo super-resolutionHistory of engineering & technologyTechnology: general issuesLai Chun Singedt1326292Tsang Kim-FungedtWang YinhaiedtLai Chun SingothTsang Kim-FungothWang YinhaiothBOOK9910566461903321Electrification of Smart Cities3037273UNINA04477nam 22006135 450 991048389830332120200629154314.03-030-00193-810.1007/978-3-030-00193-3(CKB)4100000006999376(DE-He213)978-3-030-00193-3(MiAaPQ)EBC5921635(PPN)258847271(PPN)243764235(EXLCZ)99410000000699937620181107d2019 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierHybrid System Identification Theory and Algorithms for Learning Switching Models /by Fabien Lauer, Gérard Bloch1st ed. 2019.Cham :Springer International Publishing :Imprint: Springer,2019.1 online resource (XXI, 253 p. 35 illus., 34 illus. in color.) Lecture Notes in Control and Information Sciences,0170-8643 ;478Includes index.3-030-00192-X Introduction -- System Identification -- Classification -- Hybrid System Identification -- Exact Methods for Hybrid System Identification -- Estimation of Switched Linear/Affine Models -- Estimation of Piecewise Affine Models -- Recursive and State-space Identification of Hybrid Systems -- Nonlinear Hybrid System Identification.Hybrid System Identification helps readers to build mathematical models of dynamical systems switching between different operating modes, from their experimental observations. It provides an overview of the interaction between system identification, machine learning and pattern recognition fields in explaining and analysing hybrid system identification. It emphasises the optimization and computational complexity issues that lie at the core of the problems considered and sets them aside from standard system identification problems. The book presents practical methods that leverage this complexity, as well as a broad view of state-of-the-art machine learning methods. The authors illustrate the key technical points using examples and figures to help the reader understand the material. The book includes an in-depth discussion and computational analysis of hybrid system identification problems, moving from the basic questions of the definition of hybrid systems and system identification to methods of hybrid system identification and the estimation of switched linear/affine and piecewise affine models. The authors also give an overview of the various applications of hybrid systems, discuss the connections to other fields, and describe more advanced material on recursive, state-space and nonlinear hybrid system identification. Hybrid System Identification includes a detailed exposition of major methods, which allows researchers and practitioners to acquaint themselves rapidly with state-of-the-art tools. The book is also a sound basis for graduate and undergraduate students studying this area of control, as the presentation and form of the book provides the background and coverage necessary for a full understanding of hybrid system identification, whether the reader is initially familiar with system identification related to hybrid systems or not.Lecture Notes in Control and Information Sciences,0170-8643 ;478Automatic controlSystem theoryComputer architectureControl and Systems Theoryhttps://scigraph.springernature.com/ontologies/product-market-codes/T19010Systems Theory, Controlhttps://scigraph.springernature.com/ontologies/product-market-codes/M13070Computer System Implementationhttps://scigraph.springernature.com/ontologies/product-market-codes/I13057Automatic control.System theory.Computer architecture.Control and Systems Theory.Systems Theory, Control.Computer System Implementation.004.259629.89Lauer Fabienauthttp://id.loc.gov/vocabulary/relators/aut1228427Bloch Gérardauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910483898303321Hybrid System Identification2851845UNINA