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
Diploma Program
02 Credits
Course Overview
This course introduces learners to Cyber-Physical Systems (CPS), focusing on the integration of computational intelligence with physical processes in real-time. Participants explore the core architecture of CPS and learn to model dynamic physical systems using differential equations and simulation tools. The course emphasizes computational representation through finite state machines and hybrid automata, enabling learners to design responsive and adaptive control systems. Learners also gain hands-on experience applying signal converters to interface analog physical inputs with digital controllers. Using MATLAB/Simulink and CPS Lab kits, participants simulate and implement real-world CPS applications, bridging theory with practical implementation. The course prepares learners to design, analyze, and prototype CPS solutions for domains such as automation, robotics, and smart infrastructure.
Key Learning Highlights
- Explore the fundamentals of Cyber-Physical Systems and their role in intelligent system design.
- Model dynamic physical processes using differential equations and simulation environments.
- Represent computational logic using finite state machines and hybrid automata.
- Apply signal converters to interface physical signals with digital control systems.
- Simulate CPS architectures using MATLAB/Simulink for real-time analysis and validation.
- Implement CPS applications using lab kits for hands-on learning and system integration.
Tools & Platform Used
Learning Outcome
By the end of this course, learners will be able to:
Explain the core concepts and architecture of Cyber-Physical Systems and their applications.
Model physical processes using differential equations and simulate their behavior.
Represent discrete and hybrid system behaviors using finite state machines and hybrid automata.
Interface physical and digital domains using appropriate signal conversion techniques.
Simulate and analyze CPS using MATLAB/Simulink for control and monitoring.
Implement and test CPS prototypes using lab kits for real-world applications in automation and smart systems.
Master the course with just 6 Modules
This course is structured to build a comprehensive understanding of Cyber-Physical Systems (CPS) through six interconnected modules. Learners begin with an introduction to CPS architecture, real-world applications, and use cases across industries. The course then explores modeling techniques for physical processes using ordinary differential equations (ODEs), followed by digital control representations through finite state machines and synchronous models. Building on these foundations, hybrid systems are introduced to illustrate the interaction between continuous dynamics and discrete control. The course further delves into interfacing mechanisms, including ADCs and DACs, to enable communication between the cyber and physical domains. Finally, learners examine the critical role of timing and scheduling in CPS, addressing challenges like clock synchronization, network-induced delays, and system constraints.
Introduction to Cyber-Physical Systems
Understand the structure and components of Cyber-Physical Systems (CPS).
Explore real-world examples and industrial applications of CPS.
Identify the interdisciplinary nature of CPS across computing, control, and physical processes.
Modeling Physical Processes
Model dynamic systems using ordinary differential equations (ODEs).
Analyze system behavior in response to external inputs and initial conditions.
Use simulation tools to validate physical models.
Modeling Digital Control Systems
Represent digital system logic using finite state machines (FSMs).
Understand synchronous models and discrete-time control behavior.
Design basic controllers for embedded and reactive systems.
Hybrid Systems
- Combine continuous and discrete models to represent hybrid system dynamics.
- Understand the interaction between digital controllers and physical processes.
- Analyze system behavior using hybrid automata and simulation frameworks.
Interfaces and Signal Conversion
Study the role of Analog-to-Digital (ADC) and Digital-to-Analog Converters (DAC).
Understand the flow of information between physical and cyber components.
Design interfacing mechanisms for real-time monitoring and actuation.
Timing and Scheduling in CPS
Examine the importance of timing, clocks, and synchronization in CPS.
Analyze the effects of delays, jitter, and scheduling constraints on system performance.
Explore real-time communication and control strategies under networked environments.
Roles
Embedded Systems Engineer
Control Systems Engineer
Systems Engineer – CPS
Robotics Engineer
IoT Systems Developer
Automotive Systems Engineer
Research Engineer / Scientist – CPS
Industrial Automation Engineer
