IEEE Fellow臺灣科技大學蘇順峰教授關于自適應模糊控制的講座通知
報告人: 蘇順峰 教授 (IEEE Fellow)
邀請人: 崔榮鑫
時間: 2017年11月4日，下午4：00
地點: 航海學院東配樓
主題：Learning Control: Ideas and Problems in Adaptive Fuzzy Control
內容簡介：
智能控制是近幾十年來發展起來的一種很有前途的控制設計方法。智能控制設計通常需要考慮系統的一些知識。然而，這種知識通常不可用。學習成為獲得這種知識的重要機制。講座討論了一種學習控制器的基本思想和問題——自適應模糊控制。討論了這種方法的一些缺陷。這個想法既簡潔且可以擴展到各種學習機制。事實上，這種思想也可以應用于各種學習控制方案中。
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.
報告人簡介：蘇順峰教授1991年從普渡大學取得博士學位，現為臺灣科技大學電子工程系講席教授。他是IEEE Fellow和CACS Fellow，在機器人、智能控制、模糊系統、神經網絡等領域發表了200余篇論文。現在的研究興趣為計算智能、機器學習、智能交通系統等。他是國際模糊系統協會的前任主席，IEEE系統、人和控制論協會的理事會成員，擔任過多個國際會議的大會主席或程序委員會主席，現為IEEE Transactions on Cybernetics, IEEE Transactions on Fuzzy Systems和IEEE Access的編委以及International Journal of Fuzzy Systems主編。
