报告题目：Constructive Generic Internal Models for Robust Output Regulation and Application

报告人：徐大波教授

报告时间：2019年03月24日周日上午11:00

报告地点：数计学院4号楼229室

报告摘要：The canonical internal model is the key technique for handling the robust output regulation problem of systems with an uncertain exosystem. However, the output mapping of this internal model relies on the uncertain parameters of the exosystem. These uncertain parameters in the output mapping have to be further estimated using the adaptive control technique, which may complicate the design of the overall control law. In this talk, we consider constructing a so-called generic internal model (gIM) which has the same form as the canonical internal model but whose output mapping is independent of the uncertain parameters of the exosystem. With such an internal model, the robust output regulation problem for systems with an uncertain exosystem can be solved solely by the robust control approach, which is much simpler than the adaptive control approach. We give conditions for constructing such gIMs. We also illustrate our approach by solving an asymptotic tracking with disturbance rejection problem relating to aircraft wing-rock motion control.

报告人简介：徐大波，教授，博士生导师，南京理工大学自动化学院。2003年在曲阜师范大学数学系获本科学位，2006年在东北大学系统科学研究所获硕士学位，2010年在香港中文大学机械与自动化工程学系获博士学位。2010年3月至2012年11月，分别在香港中文大学、澳大利亚新南威尔士大学堪培拉国防研究院从事博士后研究。2012年11月至今，在南京理工大学自动化学院工作。主要研究方向为非线性控制理论及其在无人机系统、电力电子系统等方面的工程应用。

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