IEEE Fellow台湾科技大学苏顺峰教授关于自适应模糊控制的讲座通知

报告人: 苏顺峰 教授 (IEEE Fellow)

邀请人: 崔荣鑫

时间: 2017年11月4日，下午4：00

地点: 航海学院东配楼

主题：Learning Control: Ideas and Problems in Adaptive Fuzzy Control

内容简介：

智能控制是近几十年来发展起来的一种很有前途的控制设计方法。智能控制设计通常需要考虑系统的一些知识。然而，这种知识通常不可用。学习成为获得这种知识的重要机制。讲座讨论了一种学习控制器的基本思想和问题——自适应模糊控制。讨论了这种方法的一些缺陷。这个想法既简洁且可以扩展到各种学习机制。事实上，这种思想也可以应用于各种学习控制方案中。

Intelligent control is a promising way of control design in recent decades. Intelligent control design usually needs some knowledge of the system considered. However, such knowledge usually may not be available. Learning becomes a important mechanism for acquiring such knowledge. Learning control seems a good idea for control design for unknown or uncertain systems. To learn controllers is always a good idea, but somehow like a dream. It is because learning is to learn from something. But when there is no good controller, where to learn from? Nevertheless, there still exist approaches, such as adaptive fuzzy control, that can facilitate such an idea. It is called performance based learning. This talk is to discuss fundamental ideas and problems in one learning controller -- adaptive fuzzy control. Some deficits of such an approach are discussed. The idea is simple and can be extended to various learning mechanisms. In fact, such an idea can also be employed in various learning control schemes.

报告人简介：苏顺峰教授1991年从普渡大学取得博士学位，现为台湾科技大学电子工程系讲席教授。他是IEEE Fellow和CACS Fellow，在机器人、智能控制、模糊系统、神经网络等领域发表了200余篇论文。现在的研究兴趣为计算智能、机器学习、智能交通系统等。他是国际模糊系统协会的前任主席，IEEE系统、人和控制论协会的理事会成员，担任过多个国际会议的大会主席或程序委员会主席，现为IEEE Transactions on Cybernetics, IEEE Transactions on Fuzzy Systems和IEEE Access的编委以及International Journal of Fuzzy Systems主编。