What are machine learning control systems?

Machine learning control systems are automated systems that use algorithms and data-driven models to optimize and control dynamic processes. Unlike traditional control systems, which rely on fixed mathematical models, these systems learn from data to adapt to changing conditions and improve their performance over time. They are widely used in fields like robotics, autonomous vehicles, industrial automation, and smart grids to achieve more efficient and robust control. By integrating machine learning, these systems can handle complex, nonlinear, or uncertain environments better than conventional approaches.