Intelligent Controller

Intelligent controllers, aiming to enhance the performance and safety of cyber-physical systems (CPS), are a burgeoning research area focusing on integrating artificial intelligence (AI) into control systems. Current research emphasizes robust methods for handling uncertainty, including Bayesian neural networks and fuzzy logic, and explores efficient model architectures like Long Short-Term Memory networks for predictive control in applications such as autonomous driving and network optimization. This work is significant for improving the reliability and efficiency of CPS across diverse sectors, from robotics and manufacturing to telecommunications, by enabling more adaptive and responsive control strategies.