Unit 1

Cyber-Physical Systems Overview – Cyber-Physical Systems (CPS) in the real world – Basic principles of design and validation of CPS – Industry 4.0, AutoSAR, IIOT implications – Building Automation, Medical CPS. CPS – Platform- CPS HW platforms – Processors, Sensors, Actuators – CPS Network – Wireless Hart, CAN, Automotive Ethernet- CPS Sw stack – RTOS – Scheduling Real Time control tasks.

Unit 2

Principles of Automated Control Design – Dynamical Systems and Stability – Controller Design Techniques – Stability Analysis: CLFs, MLFs, stability under slow switching – Performance under Packet drop and Noise.CPS implementation issues – From features to automotive software components, Mapping software components to ECUs – CPS Performance Analysis – effect of scheduling, bus latency, sense and actuation faults on control performance, network congestion – Building real-time networks for CPS.

Unit 3

Intelligent CPS – Safe Reinforcement Learning – Robot motion control – Autonomous Vehicle control – Gaussian Process Learning – Smart Grid Demand Response – Building Automation. Secure Deployment of CPS -Secure Task mapping and Partitioning – State estimation for attack detection – Automotive Case study : Vehicle ABS hacking – Power Distribution Case study : Attacks on Smart Grids.

Lab Component

Experiments based on Ptolemy and CPS platforms.

• Rajeev Alur “Principles of Cyber-Physical Systems”, MIT Press, 2015
• E. A. Lee, SanjitSeshia “Introduction to Embedded Systems – A Cyber–Physical Systems Approach”, MIT Press, 2013.

Evaluation Pattern

Objectives

• To mould fresh electronics engineers by enhancing their knowledge and skills in various hardware and software design aspects of Cyber Physical Systems
• To develop an exposition of the challenges in implementing a cyber-physical system from a computational perspective
• To expose the student to real world problems in this domain and provide a walk through the design and validation problems for such systems

Course Outcomes

• CO1: Able to understand the various platform aspects of cyber physical systems
• CO2: Able to understand various modeling formalisms for CPS, such as hybrid automata & state-space methods
• CO3: Able to understand and analyse CPS security and safety aspects
• CO4: Able to understand the basics of CPS implementation and design

CO – PO Mapping