IWACCE-MCUPS’25

Modeling and Control of Ultra Precision Systems

In the frontier fields such as modern advanced manufacturing, aerospace, and semiconductors, ultra-precision electromechanical systems are a necessary and important part. With the rapid development of technology, the requirements for their precision, stability, and reliability are continuously increasing, which also prompts an urgent need for in-depth research in this field. Therefore, we will welcome scholars and researchers in this field from all over the world to gather together, share the latest research results and practical experience, promote academic exchange and cooperation, drive the innovation and development of theories, and thereby facilitate the progress and development of related industries.

IWACCE-MCUPS’25 Topics of interest include, but are not limited to the following:

• Advanced Modeling Theories and Methods of Ultra Precision Electromechanical Systems
• Research on High-Precision Control Methods of Ultra Precision Electromechanical Systems
• Filtering and State Estimation of Ultra Precision Electromechanical Systems
• Modeling Theories and Methods of Micro Electromechanical Systems
• Research on High-Precision Control Methods of Micro Electromechanical Systems

IWACCE-MCUPS’25 Session Chair

Ruili Dong， Professor, College of Information Science and Technology, Donghua University, China
Research Interests: Data acquisition, signal processing, modeling, control and troubleshooting of precision electromechanical systems; data acquisition, signal processing, modeling, control and troubleshooting of micro-optical electromechanical systems (which can be applied in the fields of image processing, virtual reality, communication, medical treatment, aerospace, etc.); and signal processing, modeling and control of industrial systems such as intelligent automobiles and numerical control machine tools.

IWACCE-MCUPS’25 Invited speaker

Raffaele CARLI， Senior Assistant Professor, Systems and Control Engineering at Politecnico di Bari, Italy
Research Interest: Developing decision and control techniques for modeling, optimizing, managing, and controlling complex, large-scale systems, particularly in smart frameworks such as industry and energy.