讲座时间：2025年4月24日 15:00-16:30

讲座地点：沙河校区工学楼C座106教室

讲座内容简介：

Deep learning has been developed in various fields, including automatic control. Its ability to capture hidden relationships makes it ideal for modeling nonlinear systems. This talk gives theoretical explanations of recent deep learning algorithms for automatic control applications. We will explore how methods like Long Short-Term Memory (LSTM) networks, Convolutional Neural Networks (CNNs), and reinforcement learning empower us to tackle system identification, adaptive control, and fault detection. By examining the theoretical foundations of these techniques, we provide insights into their capabilities and limitations, and further advancements in control system design.

主讲人简介：

Wen Yu，the member of Mexican Academy of Sciences. He holds the distinguished position of Full Professor (Investigador Cinvestav 3F) at the Department de Automatic Control, CINVESTAV-IPN, (National Polytechnic Institute), Mexico City, Mexico.

He is among the top 2% of the most-cited scientists in the world (Stanford/Elsevier, 2023).He serves as an Associate Editor for IEEE Transactions on Cybernetics, IEEE Transactions on Neural Networks and Learning Systems, Neurocomputing, and Scientific Reports.

主办单位：自动化学院（人工智能学院）

联系方式：萧老师 80187482