Advanced Topics
The Automatic Control covers advanced topics related to the control of dynamic systems, modeling, artificial intelligence applied to control, and the optimization of industrial processes. Below is a selection of the main topics covered in this field:
1. Advanced Control of Dynamic Systems
- Robust and Adaptive Control: H∞, sliding mode control, LQR/LQG, fuzzy control
- Model Predictive Control (MPC): real-time optimization
- Nonlinear Systems Control: feedback linearization, passivity-based control
- Fault-Tolerant Control: diagnosis and reconfiguration of control laws
- Distributed and Networked Control: multi-agent systems, synchronization
2. Modeling and System Identification
- Dynamic System Identification: parametric and non-parametric methods
- Hybrid and Event-Driven Systems: Petri nets, timed automata
- State Estimation and Observers: Kalman filters, particle filters
- Machine Learning for Modeling: neural networks, Bayesian regression
3. Artificial Intelligence and Automatic Control
- Deep Learning for Dynamic Systems Control
- Optimization Based on Genetic Algorithms, Particle Swarm Optimization (PSO), Ant Colony Optimization
- Adaptive Control through Reinforcement Learning (RL)
- Automatic Control and IoT: control of connected and intelligent systems
4. Automatic Control for Robotics and Autonomous Systems
- Control of Manipulator and Mobile Robots: visual servoing, SLAM, real-time control
- Drones and Autonomous Systems: trajectory control, robust navigation
- Human-Machine Interaction and Collaborative Control: exoskeletons, humanoid robots
- Embedded Systems for Real-Time Control: ROS, FPGA, real-time Linux
5. Cyber-Physical Systems and Industry 4.0
- Automation and Industrial Control Systems: SCADA, PLC, Industrial IoT
- Control of Energy Systems and Smart Grids
- Digital Twins and Simulation of Complex Systems
- Security and Cybersecurity in Automatic Control Systems
6. Dynamic Systems in Aerospace and Automotive Engineering
- Control of Drones and Aircraft: autopilot, trajectory optimization
- Advanced Driver Assistance Systems (ADAS): obstacle detection, sensor fusion
- Control and Supervision of Autonomous Vehicles: motion planning, SLAM
7. Optimization and Operational Research for Automatic Control
- Dynamic Optimization and Optimal Control: dynamic programming, variational methods
- Task Scheduling and Planning: graph theory, heuristic optimization
- Decision Support Systems and Multi-Criteria Decision-Making