Cyber-Physical Systems Design and Simulation
Course provided by Model Institute of Engineering & Technology
6 modules
Explore the fundamentals of Cyber Security
5.5 Level NCrF
National Credit Framework
60 Hours
Flexible Learning
Beginner Level
No prior experience required
Certificate Program
02 Credits
Course Overview
This course introduces learners to the fundamentals of Cyber-Physical Systems (CPS), where computation and physical processes are seamlessly integrated. Students begin by understanding CPS architecture and core components, followed by modeling physical processes through differential equations and simulation tools. The curriculum emphasizes computational representations using finite state machines and hybrid automata, alongside practical learning of converters for bridging physical and digital signals. With extensive lab practice, learners simulate CPS in MATLAB/Simulink and apply their knowledge through hands-on experimentation using CPS Lab kits. By the end of the course, students are equipped with both theoretical foundations and practical skills to design and analyze cyber-physical systems for real-world applications.
Key Learning Highlights
Understanding the fundamentals and architecture of CPS.
Modeling physical processes using differential equations and simulation tools.
Representing computation with finite state machines and hybrid automata.
Applying converters to connect physical signals with digital systems.
Tools & Platform Used
Learning Outcome
By the end of this course, students will be able to:
Define cyber-physical systems and explain their core components.
Model and analyze physical processes using differential equations and simulation tools.
Represent computational processes using finite state machines and hybrid automata.
Apply converters to bridge physical signals with digital systems.
Simulate CPS in MATLAB/Simulink and implement practical applications using CPS Lab kits.
Master the course with just 6 Modules
This course provides a structured foundation in Cyber-Physical Systems (CPS), beginning with their structure, real-world applications, and domain relevance. Learners progress through modeling of physical processes using differential equations, and digital control using finite state machines and synchronous models. The course further explores hybrid systems that combine continuous and discrete dynamics, along with practical interfaces such as ADCs, DACs, and communication protocols to bridge cyber and physical domains. Finally, it addresses timing and scheduling challenges in CPS, emphasizing network delays, synchronization, and system constraints for reliable real-world implementation.
Introduction to Cyber-Physical Systems
- Understand the structure and key components of CPS.
- Explore real-world applications across healthcare, transport, and manufacturing.
- Recognize the role of CPS in modern industry and research.
Modeling Physical Processes (ODEs)
- Formulate and analyze ordinary differential equations for system modeling.
- Predict physical system behavior through mathematical models.
- Apply simulation techniques to validate CPS designs.
Modeling Digital Control
- Represent digital processes using finite state machines.
- Study synchronous models for time-coordinated behavior.
- Connect discrete event models to control physical processes.
Hybrid Systems
Integrate continuous-time dynamics with discrete-time events.
Model real-world processes combining physical and cyber interactions.
Explore hybrid automata for complex CPS scenarios.
Interfaces and Converters
- Understand the role of ADCs and DACs in CPS communication.
- Learn how signals are converted between physical and digital domains.
- Explore protocols enabling cyber-to-physical communication.
Timing and Scheduling in CPS
Examine the impact of network delays and synchronization issues.
Study clock management and scheduling constraints in CPS.
Design systems for reliable and efficient real-time operation.
Roles
Robotics Engineer
Automation Engineer
Mechatronics Engineer
PLC/SCADA Programmer
Industrial Automation Specialist
