Diagnosability, Security and Safety of Hybrid Dynamic and Cyber-Physical Systems

Cyber-physical systems (CPS) are characterized as a combination of physical (physical plant, process, network) and cyber (software, algorithm, computation) components whose operations are monitored, controlled, coordinated, and integrated by a computing and communicating core. The interaction betwee...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Sayed-Mouchaweh, Moamar (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
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
Πίνακας περιεχομένων:
  • Prologue.- Wind Turbine Fault Localization: A Practical Application of Model-Based Diagnosis
  • Fault detection and localization using Modelica and abductive reasoning
  • Robust Data-Driven Fault Detection in Dynamic Process Environments Using Discrete Event Systems
  • Critical States Distance Filter Based Approach for Detection and Blockage of Cyberattacks in Industrial Control Systems
  • Active diagnosis for switched systems using Mealy machine modeling
  • Secure Diagnosability of Hybrid Dynamical Systems
  • Diagnosis in Cyber-physical systems with Fault Protection Assemblies
  • Passive Diagnosis of Hidden-Mode Switched Affine Models with Detection Guarantees via Model Invalidation
  • Diagnosability of Discrete Faults with Uncertain Observations
  • Abstractions Refinement for Hybrid Systems Diagnosability Analysis.