Cyber-Physical Systems: Modeling and Simulation
Master cyber-physical systems modeling and simulation. Learn discrete-time systems, finite state machines, and digital networks .
Master cyber-physical systems modeling and simulation. Learn discrete-time systems, finite state machines, and digital networks .
This course provides a thorough introduction to cyber-physical systems (CPS), focusing on the modeling and simulation of systems that combine digital and analog components. Students learn to model physical processes, implement finite state machines, and understand computation and digital networks. The course covers key concepts including discrete-time and continuous-time systems, interfaces between cyber and physical components, and trajectory analysis. Through practical examples and simulations, students gain hands-on experience in designing and analyzing CPS components.
4.5
(43 ratings)
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What you'll learn
Model physical and cyber components of CPS effectively
Design and implement finite state machines
Understand digital-to-analog and analog-to-digital conversion
Simulate complex cyber-physical systems
Analyze system trajectories and executions
Implement CPS models using MATLAB and Simulink
Skills you'll gain
This course includes:
6.8 Hours PreRecorded video
4 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
The course provides comprehensive coverage of cyber-physical systems modeling and simulation. Starting with basic modeling concepts, it progresses through discrete-time and continuous-time systems, cyber components modeling, interface design, and trajectory analysis. Students learn through theoretical concepts and practical simulations using industry-standard tools.
Basic Modeling Concepts: Discrete-time and Continuous-Time Systems
Module 1 · 4 Hours to complete
Modeling Cyber Components: Finite State Machines, Computations, Algorithms, and a First CPS Model
Module 2 · 2 Hours to complete
Modeling Cyber Components: Finite State Machines, Computations, Algorithms, and a First CPS Model
Module 3 · 2 Hours to complete
Trajectories in CPS and Simulations: Time Domains, Executions, and Complete CPS Models
Module 4 · 2 Hours to complete
Fee Structure
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Instructor
Expert in Control Systems and Hybrid Dynamics at UC Santa Cruz
Ricardo Sanfelice is an Associate Professor in the Department of Computer Engineering at the University of California, Santa Cruz. He earned his B.S. degree in Electronics Engineering from the Universidad Nacional de Mar del Plata, Buenos Aires, Argentina, in 2001. Sanfelice joined the Center for Control, Dynamical Systems, and Computation at UC Santa Barbara in 2002, where he received his M.S. and Ph.D. degrees in 2004 and 2007, respectively. He completed a postdoctoral fellowship at MIT and has also visited the Centre Automatique et Systemes at the Ecole de Mines de Paris.
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4.5 course rating
43 ratings
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