🎓 Control & Automation Engineering student from Rome, Italy 🇮🇹
⚡ Passionate about Power Systems, Control Theory, and Intelligent Algorithms
🧠 Exploring the intersection of classical control and modern Reinforcement Learning
- 👨🎓 Master’s Degree in Control Engineering (LM-25)
- 🏫 University projects focused on:
- Power system dynamics and stability
- Optimal and robust control
- Reinforcement learning applications in real-time control
- Neural control and Lyapunov-based methods
🔬 I work on both academic and personal projects, including:
- 🌀 Simulation of multi-generator power systems with disturbances
- 🤖 Reinforcement Learning agents (DDPG, SAC, TD3) for dynamic control
- 🔐 Safe RL using constraint satisfaction (QP layers, barrier functions)
- 🧮 Comparison of LQR vs neural network controllers
- 📈 Training RL agents to learn Lyapunov functions
- 🔌 Real-time control under step disturbances and system uncertainties
- 🧠 Reinforcement Learning: DDPG, SAC, TD3, safety-aware RL
- 🧰 Control Systems: Linear systems, Lyapunov theory, LQR, robust control
- 🐍 Programming: Python (NumPy, PyTorch, Gym), MATLAB
- ⚡ Power Systems: Multi-machine models, frequency control, load disturbances
- 💻 Simulation Tools:
solve_ivp, Gym environments, OpenAI Spinning Up - 🔍 Machine Learning: GPyTorch, Gaussian Processes, Deep Kernel Learning, Neural Networks
- 🔄 Git & GitHub: Version control, collaborative projects
- 🧪 Test automation, pre-training pipelines, vectorized environments
- 🚀 Autonomous control of complex systems
- 🧩 Bridging traditional engineering with AI and learning-based models
- 📖 Reading research papers on control, RL, and energy systems
- 🧑🏫 Sharing what I learn and learning from open-source contributors
- 🛠️ Building projects that are not just functional, but also elegant and safe
- ⚙️ IoT and automation with microcontrollers (Arduino, Raspberry Pi)
🧾 I'm always open to collaboration on interesting control, RL, or power system projects. Feel free to connect or contribute!