Certificate Course in Control of Cyber-Physical Systems (CPS)

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Certificate Course in Control of Cyber-Physical Systems (CPS)



This course provides a comprehensive introduction to the principles, methods, and applications of Cyber-Physical Systems (CPS). It explores the integration of control, computation, and communication that underpins modern systems such as autonomous vehicles, smart grids, robotics, and healthcare technologies. Learners will develop an understanding of CPS fundamentals, mathematical modeling, and control strategies ranging from classical PID controllers to advanced methods such as state-feedback, Kalman filters, and resilient distributed control. The curriculum further addresses modern challenges, including delays, cyber-attacks, and the role of AI in CPS. Through case studies, hands-on demonstrations, and a capstone activity, participants will gain both theoretical insights and practical skills to analyze, design, and evaluate control strategies for real-world CPS applications.

Course Fee

₹30,000 (including GST)

Duration

10 hours

Mode

Online/Hybrid


Program CURRICULUM
Module 1
Introduction to Cyber-Physical Systems
  • What are CPS? Integration of control, computation, and communication
  • Key application areas: autonomous vehicles, smart grids, medical systems, robotics.
  • Role of control in CPS: stability, safety, resilience.
  • Short case: Tesla Autopilot / Drone control loop.

Outcome: Learners understand the concept of CPS and why control is crucial

Module 2
Mathematical Foundations & Modeling
  • Basics of state-space models and feedback loops.
  • Stability, controllability, and observability (high-level).
  • Hybrid systems (continuous + discrete).
  • Short demo: modeling a temperature control system in MATLAB/Python.

Outcome: Learners can conceptualize and model CPS with simple mathematical tools.

Module 3
Control Methods for CPS
  • Classical control: PID in embedded systems.
  • State-feedback (LQR) and estimation (Kalman filter)
  • Control under sampling and delays
  • Demo: PID vs LQR in a simulated robotic system

Outcome: Learners gain exposure to common CPS control methods

Module 4
Advanced Control & Security in CPS
  • Distributed & networked control systems.
  • Resilient control: handling faults and cyber-attacks
  • AI/ML in CPS: reinforcement learning basics
  • Case discussion: Smart grid blackout prevention

Outcome: Learners understand modern challenges in CPS control (networking, resilience, AI).

Module 5
Applications & Capstone Activity
  • Tools overview: MATLAB/Simulink, Python Control Toolbox, ROS.
  • Case studies:
    • Autonomous vehicle platooning
    • Smart healthcare device control
    • Industrial IoT predictive control
  • Mini Capstone: Teams design a conceptual CPS control strategy (choose one application).

Details

Course Information

Duration: 10 Hours

Mode: On-line / Hybrid

Price: ₹30,000 (including GST)

For Whom

  • Engineering Students and Graduates in Electrical, Electronics, or Computer Science
  • Researchers and Academics exploring Cyber-Physical Systems and Control
  • Control Systems and Robotics Enthusiasts
  • Professionals in IoT, Smart Grids, and Autonomous Systems
  • Developers interested in applying AI/ML to CPS
  • Graduate Students preparing for advanced research in CPS domains