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👋 Hi, I'm Leonardo

🚀 About me

  • 🧪 I'm a PhD Candidate in the Control Systems Technology Research Group at TU Eindhoven.
  • 🚀 I received the MSc in Aerospace Engineering in 2022, from Instituto Superior Técnico, Portugal.
  • 👀 I’m interested in aggregative game theory and decentralized control over very large-scale networks.

For more details check out my academic website.

💻 Software

  • 🛠 DECENTER toolbox: Decentralized and distributed control and estimation toolbox for MATLAB. [Webpage]
  • ⚗️ Quadruple-Tank Setup: Reproducible Low-cost Quadruple-Tank Process Experimental Setup.
  • 🚦 SAFFRON: Store-And-Forward model toolbox For urban ROad Network signal control in MATLAB.
  • 🛰 osculating2mean: Convert osculating to/from mean orbital elements using spherical harmonics Earth gravity potential.
  • 🚀 tudat-matlab-thrust-feedback: Thrust feedback of TUDAT application using MATLAB.

💡 Projects

  • FISH Project: Fair Incentive mechanisms for Sustainable Human-centered mobility
  • DECENTER Project: Decentralized control and estimation toolbox for MATLAB

⚡️ Statistics

GitHub Streak

☎️ Contact

You can reach me at [email protected]

Leonardo Pedroso's Projects

candy-crush icon candy-crush

Candy Crush like game based on SDL2 graphics library for C/C++

cubic-splines icon cubic-splines

Algorithm for cubic spline interpolation with adaptive knot placement.

digital-signal-processing-labs icon digital-signal-processing-labs

Digital signal processing laboratories. Sampling and aliasing; Discrete Fourier transform (DFT); Digital filters; Autoregressive least squares (LS); Maximum Likelihood Estimation (MLE)

electronics-laboratories icon electronics-laboratories

Electronics laboratories: I) Active filters and oscillators; II) Digital-analog converter DAC; III) Adaptive filters.

key-value-database icon key-value-database

Key value store database with client authentication. Configuration similar to the AWS database.

machine-learning-exams icon machine-learning-exams

This repository contains links to machine learning exams, homework assignments, and exercises that can help you test your understanding.

optimization-algorithms icon optimization-algorithms

Optimisation and algorithm project. I) L1, L2, and L2^2 regularisers in optimal trajectory synthesis; II) Logistic data classification; III) Gradient methods.

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