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wilsonrljr/README.md

πŸš€ Hi, I'm Wilson Rocha

🎯 Head of Data Science & MLOps at RD Saúde
πŸ›  Creator & Maintainer of SysIdentPy
πŸ“– Author of Nonlinear System Identification and Forecasting: Theory and Practice with SysIdentPy
🎸 Hobbies: Playing guitar & video games


πŸ“Œ Featured Projects

πŸ”Ή SysIdentPy - A Python package for system identification and time series forecasting using NARMAX models.


πŸ“Œ About Me

I work on Nonlinear Dynamical Models, Time Series Forecasting, NARMAX Stability, and Control. My primary focus is on applying advanced mathematical models to solve real-world forecasting and control problems.

I created SysIdentPy, a Python package designed for system identification and time series forecasting using NARMAX models. You can check out my open source book on the topic here:

Nonlinear System Identification

πŸ“• Nonlinear System Identification and Forecasting: Theory and Practice with SysIdentPy


πŸ”₯ What I’m Working On

πŸ”Ή Enhancing SysIdentPy for better usability and performance
πŸ”Ή Researching NARMAX models for forecasting and control
πŸ”Ή Exploring nonlinear system stability and real-world applications


πŸ“¬ Get in Touch

Feel free to reach out via:

LinkedIn Twitter Email WhatsApp Instagram Discord


πŸ”— Useful Links

πŸ“¦ SysIdentPy: GitHub Repo | Documentation
πŸ“š Book: Read Online
πŸ’Ό Company: RD SaΓΊde


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  1. sysidentpy sysidentpy Public

    A Python Package For System Identification Using NARMAX Models

    Python 424 86

  2. interval-sysid interval-sysid Public

    Identification of Dynamic Systems with Interval Arithmetic

    MATLAB

  3. lower-bound-integration-step-size lower-bound-integration-step-size Public

    The Lower Bound Error as an Auxiliary Technique to Select the Integration Step-Size in the Simulation of Chaotic Systems

    MATLAB

  4. matlab-vs-cpp-chaotic-system matlab-vs-cpp-chaotic-system Public

    Numerical reliability in the simulation of Chaotic Systems using Matlab and C ++

    C++ 3

  5. software-influence-in-dynamic-system software-influence-in-dynamic-system Public

    Influence of Softwares and Operating Systems on the Simulation of Dynamic Nonlinear Models

    MATLAB