Artificial intelligence (AI) is reshaping engineering education by offering adaptive, interactive, and data-driven learning environments. This paper examines the primary roles of AI in enhancing control engineering education (CEE), with emphasis on sensing-oriented applications such as sensor-based system modelling, AI-assisted signal processing, and data-driven state estimation-domains that underpin modern sensing, communication, and control systems. The paper discusses how AI tools, particularly MATLAB and Simulink integrated with machine learning and reinforcement learning capabilities, can serve as effective pedagogical instruments for teaching complex topics including nonlinear contro... More >

This study explains the main idea and structure of an integrated What-How intelligent control and universal control (I-U-control) system. The proposed framework consists of two control layers. The bottom layer uses the U-control framework to manage 'How' to control within a universal framework. The top layer uses intelligent control (I-control) to coordinate and guide 'What' to achieve both global and local control goals. This study also reviews the configurations, functions, and integration of these two control layers in analysis, design, and applications. More >