Course Outcome
| CO1 | Gain insight into the basics of cyber-physical systems |
| CO2 | Design and develop different controllers for the systems |
| CO3 | Evaluate and apply advanced techniques for analysis of cyber physical systems |
| CO4 | Explore different simulation software platforms for cyber-physical systems. |
Course Articulation Matrix: Correlation level [ 1: low, 2: medium, 3: High]
| PO | PO1 | PO2 | PO3 | PSO1 | PSO2 |
| CO | |||||
| CO1 | 3 | 2 | 1 | 1 | 1 |
| CO2 | 2 | 2 | 2 | 1 | 1 |
| CO3 | 2 | 2 | 2 | 1 | 1 |
| CO4 | 3 | 1 | 2 | 2 | 1 |
Cyber-Physical Systems (CPS) in the real world, Basic principles of design and validation of CPS, CPS HW platforms: Processors, Sensors, Actuators, CPS Network, CPS SW stack RTOS, Scheduling Real Time control tasks. Principles of Automated Control Design: Dynamical Systems and Stability, Controller Design Techniques. Stability Analysis, Performance under Packet drop and Noise.CPS : From features to software components, Mapping software components to ECUs, CPS Performance Analysis, Formal Methods for Safety Assurance of Cyber-Physical Systems: Advanced Automata based modelling and analysis, Formal Analysis, Analysis of CPS Software, Weakest Pre-conditions, Bounded Model checking, Hybrid Automata Modelling, CPS SW Verification, Secure Deployment of CPS: Attack models, Attack Detection and Mitigation in CPS, Secure Task mapping and Partitioning, State estimation for attack detection, Automotive Case study: Vehicle ABS hacking, Power Distribution Case study: Attacks on Smart grid, Drone Swarm coordination.Digital Twin Technology in Smart Grids and Electric Vehicles (EVs):