Foundations of Cyber-Physical Systems: Modeling and Simulation

In an era where software governs everything from medical devices to smart power grids, understanding the intersection of digital code and the physical world is essential. This course introduces you to the discipline of Cyber-Physical Systems (CPS), where computational algorithms and physical components are deeply intertwined. You will learn how to bridge the gap between discrete logic and continuous physical dynamics to create efficient, predictable systems. By the end of this course, you will be able to represent complex interactions between hardware and software using rigorous modeling techniques. You will gain a clear understanding of how to predict system behavior through simulation before deployment. What you'll learn: - Understand core CPS terminology, including sensors, actuators, and embedded controllers - Model continuous physical processes using differential equations and discrete-time logic - Apply finite state machines and hybrid automata to describe complex system transitions - Practice simulation techniques to evaluate how digital algorithms influence physical outcomes - Explore modern concepts such as Digital Twins and their role in real-time system monitoring - Understand safety-critical design principles to ensure reliability in interconnected environments The course begins with fundamental definitions and the history of system integration, gradually moving into the mathematical and logical frameworks used to describe hybrid systems. You will progress from simple physical models to sophisticated architectures that define modern automation and robotics. This course is designed for beginners interested in engineering, computer science, or industrial automation. No prior experience with cyber-physical systems is required. Start building the skills needed to design the interconnected world of tomorrow.