蘇順豐Shun-Feng Su

國立臺灣科技大學電機系講座教授

控制高階不確定非線性系統 發表多篇IEEE 論文

For recent four years ( 2016~2019 ) , I have published 29 journals papers and many conference papers. Among those journal papers, 20 of them are in IEEE transactions. Google citation has 10 papers more than 100 citations and the number of the total citations is 3850 and h-index is 31. In those publications, several papers are to deal with the control design for high-order uncertain nonlinear systems with full-state constraints. With an appropriate reduced dynamic model, incorporating repetitive learning strategies with dynamic decoupling and related adaptive control techniques, a novel controller is constructed for several underactuated systems. Also such a mechanism has been wildly used in various control design, especially in marine vehicles in the cooperation with Dalian Maritime University. ( 6 papers accepted in various IEEE Transactions . ) Another part is about small motion detection in image streams. This original study is aimed at building a simple and low-cost system by using images to detect human breath in a real-time fashion to estimate the peak of the inspiratory phase of a breath so as to define a proper triggering timing for X-ray shooting. The proposed approach can successfully detect the inspiratory- expiratory motions and the peak time of inspiratory phase can be predicted within an acceptable interval of error time in different environment situations. Besides, in our experiments, even though the target is 6 meters away, the breath detection is still successful. In other words, the proposed approach can also be used for surveillance or healthcare environments. We also have built a detection mechanism for heart rate estimation. Currently, our research focus is on the blood pressure measurement. This kind of small motion detection is also applied to some manufacturing process detection to observe possible failure phenomenon and abnormal behavior s. ( 2 papers accepted in IEEE Transactions . )

得獎感言

It is my great honor to get recognition on what I have achieved in recent years and to earn this Outstanding Research award from MOST. First, I would like to give my sincere appreciations to those who helped me on the way and those who recommended me for this award. Certainly, I need to say thanks to my students and post-doctor fellows for their contributions to my work. Also, I would like to thank those colleagues who invited me to join their work to have several papers published on the cooperation. Thank you to all, including those who helped me in different ways. With those, it makes it possible f or me t o get recognition and to earn this award.

個人勵志銘

從現象中定義問題，從問題中分析原因，從原因中尋求解答—這雖是簡單的道理，卻也是每一個研究不變的真理。