报告题目：Analysis on existence of compact set in neural network control for nonlinear systems

时 间：2024.4.21， 10:00-12:00

地 点：数学学院1601会议室

报告摘要： Neural network method is an effective tool for approximating the unknown function in controller design for nonlinear systems. To guarantee the validity of the approximation, state variables in approximated unknown functions need to stay in a compact set. However, in most existing results, the existence of the compact set has not been correctly proven; therefore, the proof is not actually complete in these existing works. In this talk, we analyze the existence of compact sets for two typical nonlinear systems with novel neural network-based controllers and show the proof for the semi-global uniform ultimate boundedness of the closed-loop system.

报告人简介：向峥嵘，南京理工大学教授、博士生导师。主持多项国家级与省部级科研项目，获得国防科技进步二等奖1项，在国内外重要期刊及会议上发表100余篇高水平学术论文。目前主要从事非线性系统理论、复杂工业系统的建模及优化控制、智能计算与数据处理等方面的研究。