报告人: 苏顺丰 教授 (IEEE/CACS Fellow)
邀请人: 史豪斌 副教授
主题：Learning Control: Ideas and Problems in Adaptive Fuzzy Control
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.
苏顺丰教授1991年获普渡大学博士学位，现为台湾科技大学电子工程系讲座教授，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论文200余篇。目前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 Systems, Man, and Cybernetics Society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、IEEE Access的编委以及International Journal of Fuzzy Systems主编。