Building effective CPSs of the future require multi-disciplinary skills. In particular, the confluence of real-time computing, wireless sensor networks, control theory, signal processing and embedded systems are required to create these new systems. This course will cover some basic material from these areas, but focus on advanced research papers related to CPS.
teacher profile teaching materials
- Modeling CPS
- Communication standards and technologies for CPS
- Real time system
- Advanced data fusion model: inference techniques
- Fault diagnosis: model based detection-isolation-identification of anomalies
- Model based anomaly detection for cyber attacks
Scientific papers
Programme
- Introduction to CPS: applications and evolution- Modeling CPS
- Communication standards and technologies for CPS
- Real time system
- Advanced data fusion model: inference techniques
- Fault diagnosis: model based detection-isolation-identification of anomalies
- Model based anomaly detection for cyber attacks
Core Documentation
Notes of the courseScientific papers
Reference Bibliography
G. Buttazzo, "Hard Real-Time Computing Systems: Predictable Scheduling Algorithms and Applications", Springer, 2011 Steven Ding, "Model-Based Fault Diagnosis Techniques", Springer, 2013Type of delivery of the course
The course is composed by theoretical lectures (80%) and practical lessons (20%) Both of them are located in the assigned room.Type of evaluation
EXAMS home-works Oral presentation During COVID-19 emergency the exams will be taken according to art.1 Decreto Rettorale n. 703 May, 5th 2020