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⇱ Cyber-Physical Systems: Modeling and Simulation | Coursera

Cyber-Physical Systems: Modeling and Simulation

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Cyber-Physical Systems: Modeling and Simulation

12,540 already enrolled

Included with

Gain insight into a topic and learn the fundamentals.
4.6

56 reviews

Intermediate level
Some related experience required
1 week to complete
at 10 hours a week
Gain insight into a topic and learn the fundamentals.
4.6

56 reviews

Intermediate level
Some related experience required
1 week to complete
at 10 hours a week

What you'll learn

  • Simulate models of physical & cyber components, interfaces, and interconnections.

  • Describe and model the components of a cyber-physical system.

  • Design a finite-state machine.

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

4 assignments¹

AI Graded see disclaimer
Taught in English
Flexible schedule
Learn at your own pace

There are 4 modules in this course

Cyber-physical systems (CPS for short) combine digital and analog devices, interfaces, networks, computer systems, and the like, with the natural and man-made physical world. The inherent interconnected and heterogeneous combination of behaviors in these systems makes their analysis and design an exciting and challenging task.

CPS: Modeling and Simulation provides you with an introduction to modeling and simulation of cyber-physical systems. The main focus is on models of physical process, finite state machines, computation, converters between physical and cyber variables, and digital networks. The instructor of this course is Ricardo Sanfelice (https://hybrid.soe.ucsc.edu), Associate Professor in the Department of Computer Engineering at the University of California Santa Cruz.

What's included

15 videos1 reading1 assignment1 peer review1 discussion prompt

15 videos•Total 144 minutes
  • Welcome to the Course•6 minutes
  • Introduction•6 minutes
  • Overview•8 minutes
  • Modeling Cyber-Physical Systems•6 minutes
  • Discrete-Time Systems Concepts (Part 1)•9 minutes
  • Discrete-Time Systems Concepts (Part 2)•9 minutes
  • A Discrete-Time Model of a Ground Vehicle•9 minutes
  • Simulation of a Discrete-Time Model of a Ground Vehicle•17 minutes
  • Continuous-Time Concepts (Part 1)•7 minutes
  • A Continuous-Time Model of a Ground Vehicle•9 minutes
  • Simulation of a Continuous-Time Model of a Ground Vehicle•20 minutes
  • Continuous-Time Concepts (Part 2)•8 minutes
  • A Continuous-Time Model of a Linear Time-Invariant System•9 minutes
  • A Continuous-Time Model of the Temperature in a Room•9 minutes
  • Simulation of the Temperature in a Room•13 minutes
1 reading•Total 15 minutes
  • Using MATLAB and Simulink•15 minutes
1 assignment•Total 30 minutes
  • Quiz #1•30 minutes
1 peer review•Total 60 minutes
  • Homework #1•60 minutes
1 discussion prompt•Total 10 minutes
  • MATLAB and Simulink Support•10 minutes

What's included

12 videos1 assignment1 peer review

12 videos•Total 72 minutes
  • Finite-State Machines (Part 1)•6 minutes
  • Finite-State Machines (Part 2)•3 minutes
  • Finite-State Machines (Part 3)•6 minutes
  • Simulation of a Finite State Machine•7 minutes
  • A Finite-State Machine for Controlling the Temperature in a Room•6 minutes
  • Simulation of a Finite State Machine to Control the Temperature of a Room•7 minutes
  • A Finite State Machine Modeling a Chess Game•7 minutes
  • A Cyber-Physical System Model of a Thermostat (Part 1)•6 minutes
  • A Cyber-Physical System Model of a Thermostat (Part 2)•5 minutes
  • Simulation of a Cyber-Physical System Model of a Thermostat•8 minutes
  • Models of Computations•6 minutes
  • A General Discrete-Time Model of a Linear Time-Invariant Algorithm•5 minutes
1 assignment•Total 30 minutes
  • Quiz #2•30 minutes
1 peer review•Total 60 minutes
  • Homework #2•60 minutes

What's included

13 videos1 assignment1 peer review

13 videos•Total 109 minutes
  • Analog to Digital Conversion•6 minutes
  • A Model of an Analog to Digital Converter•10 minutes
  • Digital to Analog Conversion•10 minutes
  • A Model of a Digital to Analog Converter•4 minutes
  • Simulation of an Analog to Digital Converter•6 minutes
  • A Model of an Implemented Finite-State Machine•9 minutes
  • Simulation of an Implemented Finite State Machine•5 minutes
  • A Digital Communication Network•13 minutes
  • Simulation of a Digital Communication Network•8 minutes
  • A Cyber-Physical System Model for Estimation Over a Network•12 minutes
  • Simulation of a Cyber-Physical System Model for Estimation Over a Network•7 minutes
  • A Cyber-Physical System Model for Sample and Hold Control•9 minutes
  • Simulation of a Cyber-Physical System Model for Sample and Hold Control•10 minutes
1 assignment•Total 30 minutes
  • Quiz #3•30 minutes
1 peer review•Total 60 minutes
  • Homework #3•60 minutes

What's included

11 videos1 assignment1 peer review

11 videos•Total 88 minutes
  • Introduction to Executions (or Solutions) to Cyber-Physical Systems•12 minutes
  • Hybrid Time Domains•9 minutes
  • Hybrid Arcs•7 minutes
  • Definition of an Execution (without Inputs)•8 minutes
  • Definition of an Execution (with Inputs)•8 minutes
  • Types of Executions•12 minutes
  • Executions for the Digital to Analog Converter•10 minutes
  • Simulations of Cyber-Physical Systems•6 minutes
  • Introduction to Hybrid Equations Toolbox (Part 1)•5 minutes
  • Introduction to Hybrid Equations Toolbox (Part 2)•10 minutes
  • Course Conclusion•1 minute
1 assignment•Total 30 minutes
  • Quiz #4•30 minutes
1 peer review•Total 60 minutes
  • Homework #4•60 minutes

Instructor

Instructor ratings
4.9 (13 ratings)
University of California, Santa Cruz
1 Course•12,540 learners

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Showing 3 of 56

SM
·

Reviewed on May 28, 2020

It is a very good course to learn and implement control algorithm in Matlab Simulink model

TM
·

Reviewed on May 1, 2018

This course teaches you a solid background about CPS and the principle of model design as well.

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¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.