ICIEA 2025 Special Session
SS01: Predictive Control and AI-based Technology for Industry Electronic Applications
Organized by:
Organizer 1: Haotian Xie
Email: haotian.xie@fjirsm.ac.cn
Affiliation: Quanzhou Institute of Equipment Manufacturing, Haixi Institutes, Chinese Academy of Science, China
Organizer 2: Yao Wei
Email: yao.wei@fjirsm.ac.cn
Affiliation: Quanzhou Institute of Equipment Manufacturing, Haixi Institutes, Chinese Academy of Science, China
Organizer 3: Tao Wang
Email: wangtaoee@zju.edu.cn
Affiliation: College of Electrical Engineering, Zhejiang University, China
Organizer 4: Cristian Garcia
Email: cristian.garcia@utalca.cl
Affiliation: Facultad de Ingeniería, Universidad de Talca, Chile
This special session aims to gather innovative contributions on the application of predictive control and AI-based technology for advanced control strategies of power electronics and motor drives. The focus is on enhancing the efficiency, robustness, reliability, etc. of these converters through the use of these strategies. Submissions encompassing theoretical foundations and practical implementations of these methodologies are particularly encouraged for consideration in this special session.
In recent decades, power electronics has become widespread across various power conversion fields. Advancements in computer science and microprocessor technologies have enabled the enhancement of some advanced control strategies, such as predictive control, aimed at improving the comprehensive performance of converters or motor drives. With the rapid development of transformative technology - artificial intelligence, the combination of this technique and advanced control strategies has the potential to revolutionize the control of power converters. This specialized session focuses on predictive control and AI-based technology for industry electronic applications, inviting innovative contributions on the application of AI for advanced control strategies of power electronics converters to boost efficiency, robustness, and reliability. Submissions encompassing theoretical foundations and practical implementations of these methodologies are particularly encouraged for consideration in this special session.
Topics of interest include but are not limited to