Control Engineering

Control engineering aims to design and implement systems that regulate processes to achieve desired outcomes, focusing on stability, performance, and robustness. Current research emphasizes leveraging artificial intelligence, particularly neural networks and large language models, to automate tasks like controller tuning, system modeling, and even the design process itself. This integration of AI offers significant potential for improving efficiency and performance in diverse applications, from industrial automation and robotics to advanced manufacturing and autonomous systems. The development of robust benchmarks and the exploration of AI's capabilities in handling complex, real-world scenarios are key areas of ongoing investigation.