课程号：

SS196000

课程名：

自适应控制

英文课程名：

Adaptive Control

开课单位：

空间科学与技术学院

授课教师：

Simone Baldi

责任教师：

常晶

助理教师：

常晶

学分/学时：

1/16

选课年级：

本科 （大三、大四）

选课专业：

自动化

教师简介（中英文）：

Simone Baldi is currently an Assistant Professor (tenure-track) at the Delft Center for Systems and Control of the Delft University of Technology. Prior to this, he held Postdoctoral Researcher positions at the Information Technologies Institute (I.T.I.), Centre for Research & Technology Hellas (CE.R.T.H.), Thessaloniki, Greece (under the supervision of Prof. Elias Kosmatopoulos), and at the Networks Research Laboratory (NetRL), Department of Computer Science of the University of Cyprus (under the supervision of Prof. Petros Ioannou and Prof. Andreas Pitsillides). His main research interests are in the area of control theory and include adaptive control, adaptive optimization techniques for control of large-scale systems, switching supervisory control with multiple models. He taught "Adaptive Control" at TUDelft for several years. He published more than 25 international journal papers, attended 37 times international conferences. He participated in various research projects funded by the European Union, and other governmental and private research institutions.

Simone Baldi 代尔夫特理工大学的长聘助理教授，罗马尼亚教育、研究和发展基金评审专家，瑞士国家自然基金评审专家，发表SCI顶级期刊论文25篇，国际会议论文37篇，参与两本书籍出版，第六届IFAC PSYCO会议副主编，主讲课程两门，在世界各地做了28次学术报告，参与了十多项国家及国际项目研究工作。

课程简介（中英文）：

The course presents a basic ground for analysis and design of adaptive control systems: it covers both established adaptive schemes based on continuous adaptation, and more recent logic-based adaptive schemes with discontinuous adaptation. The course is organized as follows: after an initiation to parameter adaptation algorithms, Model Reference Adaptive Control (MRAC) schemes constitute the core of the adaptive schemes. MRAC is addressed both from a continuous adaptation point of view and in discontinuous environments, with emphasis on networked environments (switched dynamics and quantization phenomena).

本课程对自动化专业学生讲述自适应控制的基本原理和设计方法导论，包括建立连续自适应机制和最新的逻辑自适应机制。课程安排为：参数自适应算法、连续和非连续的模型参考自适应策略。

先修课程：

线性代数