Cyber-Physical Systems Design and Simulation
Course provided by Model Institute of Engineering & Technology
6 modules
Explore the fundamentals of Cyber Physical Systems
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 Cyber-Physical Systems (CPS), focusing on the integration of physical processes with computational elements. Participants will explore the modeling of physical systems using differential equations, and the representation of computation through finite state machines and hybrid automata. The program emphasizes practical interfacing techniques, including the use of converters to link physical signals with digital systems. Learners gain hands-on experience with MATLAB/Simulink simulations and CPS lab kits to design, simulate, and test real-world CPS applications, preparing them for careers in automation, control, and embedded systems engineering.
Key Learning Highlights
Understand the fundamentals and components of Cyber-Physical Systems (CPS).
Model physical processes using differential equations and simulation tools.
Represent computational logic with finite state machines and hybrid automata.
Apply converters to integrate physical signals with digital systems.
Simulate and test CPS using MATLAB/Simulink and CPS lab kits for real-world applications.
Tools & Platform Used
Learning Outcome
By the end of this course, learners will be able to:
Define Cyber-Physical Systems (CPS) and explain their core components.
Model physical processes using differential equations and simulation tools.
Represent computational behavior with finite state machines and hybrid automata.
Apply converters to link physical signals with digital systems effectively.
Simulate CPS in MATLAB/Simulink and implement interfacing using CPS lab kits.
Master the course with just 6 Modules
The course begins with an introduction to Cyber-Physical Systems (CPS), covering their structure, real-world examples, and applications across industries. Learners then focus on modeling physical processes using ordinary differential equations (ODEs) and representing digital control through finite state machines and synchronous models. The program explores hybrid systems that integrate continuous and discrete dynamics, followed by practical instruction on interfaces and converters such as ADCs and DACs to bridge cyber and physical systems. Using these concepts, participants gain hands-on experience in designing, simulating, and implementing CPS for real-world applications.
Introduction to Cyber-Physical Systems
- Understand the structure and components of CPS.
- Explore real-world examples across industries like transportation, healthcare, and manufacturing.
- Learn practical applications of CPS in modern engineering systems.
Modeling Physical Processes using ODEs
- Formulate and analyze ordinary differential equations to represent physical systems.
- Predict system behavior using simulation tools.
- Apply ODE-based modeling to real-world cyber-physical scenarios.
Modeling Digital Control
- Represent computation using finite state machines for discrete processes.
- Use synchronous models to coordinate time-dependent system behavior.
- Understand digital control strategies for CPS applications.
Hybrid Systems
Integrate continuous-time and discrete-time dynamics for complex systems.
Model interactions between physical processes and digital controllers.
Analyze hybrid systems for real-world engineering applications.
Interfaces and Converters
- Learn the role of ADCs and DACs in bridging cyber and physical components.
- Implement effective cyber-to-physical communication.
- Explore interfacing techniques for sensors, actuators, and embedded systems.
Timing and Scheduling in CPS
- Study the impact of network delays and clock synchronization on system performance.
- Analyze scheduling constraints in cyber-physical environments.
- Ensure reliable and timely execution of control tasks.
Roles
Cyber-Physical Systems Engineer
Embedded Systems Engineer
Automation and Control Engineer
Mechatronics Engineer
Industrial IoT Specialist
Simulation and Modeling Engineer
System Integration Engineer
