https://github.com/kons-5/ist-msim-notes
Modelling and Simulation notes, IST 2022/2023
https://github.com/kons-5/ist-msim-notes
latex modeling-and-simulation notes
Last synced: about 2 months ago
JSON representation
Modelling and Simulation notes, IST 2022/2023
- Host: GitHub
- URL: https://github.com/kons-5/ist-msim-notes
- Owner: Kons-5
- Created: 2023-02-19T17:43:03.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2023-07-27T22:15:07.000Z (almost 2 years ago)
- Last Synced: 2025-02-01T14:19:13.742Z (4 months ago)
- Topics: latex, modeling-and-simulation, notes
- Language: TeX
- Homepage:
- Size: 2.48 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# MSim - Modelling and Simulation
This repository contains the PDF summarizing the entire content covered in a Modelling and Simulation class.
## Repository Contents
- `MSim.pdf`: The main summary of the Modelling and Simulation class content in PDF format.
## Overview
Welcome to the MSim repository! This repository serves as a comprehensive summary of the Modelling and Simulation class offered at Instituto Superior Técnico. The PDF file provided here contains detailed notes, explanations, and examples of the key topics covered during the course.
## Key Concepts
- Introduction to modeling and simulation
- Time-driven systems. Models of economic, physical, electromechanical, electronic, energy, cell biology, and dynamic population systems. Distributed parameter systems. Parameter identification. Differential and difference equations. Dynamic linear and nonlinear state models. Linearization. Equilibrium points and stability. Computation of solutions.
- Simulation tools. Numerical solution of systems of equations and ordinary and partial differential equations. Euler and Runge-Kutta methods. Fixed step and variable step methods. Languages and computational environments.
- Discrete event systems. Automata. Markov chains. Queing theory. Monte Carlo Methods. Exs: manufacturing systems, computer networks, communications.
- Introduction to hybrid systems. Agent-based modeling and simulation. Exs: Biological Systems, Autonomous Vehicles, Air Traffic.## License
This work is licensed under a [Creative Commons Attribution Non Commercial Share Alike 4.0 International][cc-by-nc-sa].
[cc-by-nc-sa]: https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode
## Authors
- [João Gonçalves - sqrt(-1)](https://github.com/eusouojoao)
- [Teresa Nogueira - 13A!](https://github.com/FrolickingAsteroid)## Contributing
Contributions to this repository are welcome! If you notice any errors or have suggestions for improvements or updates on the course's contents, feel free to open an issue or submit a pull request.