Logical Foundations of Cyber-Physical Systems

Cyber-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 compute...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Platzer, André (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
Έκδοση:1st ed. 2018.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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505 0 |a Cyberphysical 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. 
520 |a Cyber-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. 
650 0 |a Mathematical logic. 
650 0 |a Artificial intelligence. 
650 0 |a Control engineering. 
650 0 |a Robotics. 
650 0 |a Mechatronics. 
650 0 |a Quality control. 
650 0 |a Reliability. 
650 0 |a Industrial safety. 
650 1 4 |a Mathematical Logic and Formal Languages.  |0 http://scigraph.springernature.com/things/product-market-codes/I16048 
650 2 4 |a Artificial Intelligence.  |0 http://scigraph.springernature.com/things/product-market-codes/I21000 
650 2 4 |a Mathematical Logic and Foundations.  |0 http://scigraph.springernature.com/things/product-market-codes/M24005 
650 2 4 |a Control, Robotics, Mechatronics.  |0 http://scigraph.springernature.com/things/product-market-codes/T19000 
650 2 4 |a Quality Control, Reliability, Safety and Risk.  |0 http://scigraph.springernature.com/things/product-market-codes/T22032 
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776 0 8 |i Printed edition:  |z 9783319635873 
776 0 8 |i Printed edition:  |z 9783319635897 
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912 |a ZDB-2-SCS 
950 |a Computer Science (Springer-11645)