LEADER 02811nam 2200469 450 001 9910720058503321 005 20230803203033.0 010 $a3-031-20447-6 035 $a(CKB)5720000000183799 035 $a(MiAaPQ)EBC7247466 035 $a(Au-PeEL)EBL7247466 035 $a(BIP)085860737 035 $a(PPN)270612882 035 $a(EXLCZ)995720000000183799 100 $a20230803d2023 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aH-systems $eobservability, diagnosability, and predictability of hybrid dynamical systems /$fElena De Santis and Maria Domenica Di Benedetto 205 $a1st ed. 210 1$aCham, Switzerland :$cSpringer Nature Switzerland AG,$d[2023] 210 4$dİ2023 215 $a1 online resource (305 pages) 225 1 $aCommunications and Control Engineering Series 311 $a3-031-20446-8 320 $aIncludes bibliographical references and index. 330 8 $aThis book focuses on the observability of hybrid systems. It enables the reader to determine whether and how a hybrid system's state can be reconstructed from sometimes necessarily partial information. By explaining how available measurements can be used to deduce past and future behaviours of a system, the authors extend this study of observability to embrace the properties of diagnosability and predictability.H-systemsshows how continuous and discrete dynamics and their interaction affect the observability of this general class of hybrid systems and demonstrates that hybrid characteristics are not simply generalizations of well-known aspects of traditional dynamics. The authors identify conditions for state reconstruction, prediction and diagnosis of the occurrence of possibly faulty states. The formal approach to proving those properties for hybrid systems is accompanied by simple illustrative examples. For readers who are interested in the use of state estimation for controller design, the book also provides design methods for hybrid state observers and covers their application in some industrial cases.The book's tutorial approach to the various forms of observability of hybrid systems helps to make H-systemsof interest to academic researchers and graduate students working in control and to practitioners using control in an industrial environment. 410 0$aCommunications and Control Engineering Series 606 $aHybrid systems 615 0$aHybrid systems. 676 $a004.259 700 $aDe Santis$b Elena$01363861 702 $aDi Benedetto$b Maria Domenica 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910720058503321 996 $aH-Systems$93385016 997 $aUNINA