LEADER 04648nam 22007215 450 001 9910299356603321 005 20200702011612.0 010 $a3-319-63588-3 024 7 $a10.1007/978-3-319-63588-0 035 $a(CKB)4100000005323370 035 $a(DE-He213)978-3-319-63588-0 035 $a(MiAaPQ)EBC6314829 035 $a(PPN)229504744 035 $a(EXLCZ)994100000005323370 100 $a20180730d2018 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aLogical Foundations of Cyber-Physical Systems /$fby André Platzer 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (XXXI, 639 p. 182 illus., 176 illus. in color.) 311 $a3-319-63587-5 320 $aIncludes bibliographical references and index. 327 $aCyberphysical Systems: Introduction -- Differential Equations and Domains -- Choice and Control -- Safety and Contracts -- Dynamical Systems and Dynamic Axioms -- Truth and Proof -- Control Loops and Invariants -- Events and Responses -- Reactions and Delays -- Differential Equations and Differential Invariants -- Differential Equations and Proofs -- Ghosts and Differential Ghosts -- Logical Foundations and CPS -- Differential Invariants and Proof Theory -- Verified Models and Verified Runtime Validation -- Hybrid Systems and Games -- Winning Strategies and Regions -- Winning and Proving Hybrid Games -- Game Proofs and Separations -- Virtual Substitution and Real Equations -- Virtual Substitution and Real Arithmetic -- Axioms and Uniform Substitutions -- Differential Axioms and Uniform Substitutions -- Model Checking and Reachability Analysis -- Distributed Systems and Hybrid Systems. 330 $aCyber-physical systems (CPSs) combine cyber capabilities, such as computation or communication, with physical capabilities, such as motion or other physical processes. Cars, aircraft, and robots are prime examples, because they move physically in space in a way that is determined by discrete computerized control algorithms. Designing these algorithms is challenging due to their tight coupling with physical behavior, while it is vital that these algorithms be correct because we rely on them for safety-critical tasks. This textbook teaches undergraduate students the core principles behind CPSs. It shows them how to develop models and controls; identify safety specifications and critical properties; reason rigorously about CPS models; leverage multi-dynamical systems compositionality to tame CPS complexity; identify required control constraints; verify CPS models of appropriate scale in logic; and develop an intuition for operational effects. The book is supported with homework exercises, lecture videos, and slides. 606 $aLogic, Symbolic and mathematical 606 $aArtificial intelligence 606 $aAutomatic control 606 $aRobotics 606 $aMechatronics 606 $aQuality control 606 $aReliability 606 $aIndustrial safety 606 $aMathematical Logic and Formal Languages$3https://scigraph.springernature.com/ontologies/product-market-codes/I16048 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aMathematical Logic and Foundations$3https://scigraph.springernature.com/ontologies/product-market-codes/M24005 606 $aControl, Robotics, Mechatronics$3https://scigraph.springernature.com/ontologies/product-market-codes/T19000 606 $aQuality Control, Reliability, Safety and Risk$3https://scigraph.springernature.com/ontologies/product-market-codes/T22032 615 0$aLogic, Symbolic and mathematical. 615 0$aArtificial intelligence. 615 0$aAutomatic control. 615 0$aRobotics. 615 0$aMechatronics. 615 0$aQuality control. 615 0$aReliability. 615 0$aIndustrial safety. 615 14$aMathematical Logic and Formal Languages. 615 24$aArtificial Intelligence. 615 24$aMathematical Logic and Foundations. 615 24$aControl, Robotics, Mechatronics. 615 24$aQuality Control, Reliability, Safety and Risk. 676 $a006.22 700 $aPlatzer$b André$4aut$4http://id.loc.gov/vocabulary/relators/aut$0998008 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910299356603321 996 $aLogical Foundations of Cyber-Physical Systems$92289009 997 $aUNINA