报告题目：Learning Control: Ideas and Problems in Adaptive Fuzzy Control

报告人：台湾科技大学 苏顺丰教授

报告时间： 2018年5月17日（周四）上午10:00~11:00

报告地点：实验十五楼207室

报告摘要：

Intelligent controlis a promising way of control design in recent decades. Intelligent control design usually needs someknowledgeof the system considered. However, such knowledge usually may not be available.Learningbecomes an 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 calledperformance based learning(reinforcement learning and Lyapunov stability). 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. If you want to use such kind of approaches, those issues must be considered in your study.

报告人简介：

苏顺丰教授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。