时间：2025-12-04 08:45
举办地点：临港校区 电气楼410
内容：
Data-Driven Approaches to Active Noise Control Systems
In active noise control (ANC), deterministic components are often mixed with broadband noise. Considering the difficulty of measuring acoustic pressure in advance for applying classical ANC methods, artificial intelligence tools such as deep learning algorithms offer an effective data-driven approach. This talk addresses new learning frameworks for computing and predicting acoustic pressure, leveraging their ability to capture spatially coherent patterns in radiated acoustic pressure fields. Additionally, deep learning-based ANC design can potentially play an important role in handling nonlinearities inherent in electro-acoustic systems, as well as in broadband noise removal. Since it is challenging to find accurate models for control design, direct data-driven approaches are introduced to compute controllers suitable for ANC by using only near-field acoustic holography—arranging microphones on the appliance fuselage and using the sound field produced by a loudspeaker array—without requiring detailed knowledge of the system model. The talk will conclude with technical and practical insights on the design and implementation of active control strategies for noise transmission through encapsulated structures.
主办单位：
科技处、电气学院
主讲人：
Hamid Reza Karimi is a Professor of Applied Mechanics in the Department of Mechanical Engineering at Politecnico di Milano, Milan, Italy. Prof. Karimi’s original research and development achievements span a broad spectrum within the topic of automation/control systems, and intelligence systems with applications to complex systems such as vehicles, robotics and mechatronics. Prof. Karimi is an ordinary Member of Academia Europaea (MAE), Member of European Academy of Sciences and Arts (EASA), Member of The European Academy of Sciences (MEurASc), Member of Agder Academy of Science and Letters in Norway, Member of National Academy of Artificial Intelligence (NAAI), Honorary Academic Member of National Academy of Sciences of Bolivia, Distinguished Fellow of the International Institute of Acoustics and Vibration (IIAV), Fellow of The International Society for Condition Monitoring (ISCM), Fellow of the Asia-Pacific Artificial Intelligence Association (AAIA), and also a member of the IFAC Technical Committee on Mechatronic Systems, the IFAC Technical Committee on Robust Control, the IFAC Technical Committee on Automotive Control, member of the board of Directors of The International Institute of Acoustics and Vibration (IIAV) and member of Management Committee of The International Society for Condition Monitoring (ISCM). Prof. Karimi is the recipient of the 2025 NAAI Distinguished Artificial Intelligence Scholar Award, the 2021 BINDT CM Innovation Award, the Web of Science High
