报告题目：Structured Deep Neural Networks-Based Backstepping Trajectory Tracking Control for Lagrangian Systems

报告人：徐梁教授（上海大学）

报告摘要：In this talk, a structured DNN-based controller is introduced for the trajectory tracking control of Lagrangian systems using backing techniques.  By properly designing neural network structures, the proposed controller can ensure closed-loop stability for any compatible neural network parameters. In addition, improved control performance can be achieved by further optimizing neural network parameters. Besides, we provide explicit upper bounds on tracking errors in terms of controller parameters, which allows us to achieve the desired tracking performance by properly selecting the controller parameters.

报告时间：2024年5月17日 8:30-9:10

报告地点：数学楼301