Prof Philip Chen, dean and chair professor of the Faculty of Science and Technology, University of Macau (UM), recently received the 2017 IEEE (Institute of Electrical and Electronics Engineers) Transactions on Neural Networks and Learning Systems Outstanding Paper Award, for his first-authored paper titled ‘Adaptive Consensus Control for a Class of Nonlinear Multi-agent Time-delay Systems Using Neural Network.’ The paper was selected from 195 papers published in the IEEE Transactions on Neural Networks and Learning Systems in 2014. The journal publishes technical articles that deal with the theory, design, and applications of neural networks and related learning systems. The award was presented to Prof Chen by the IEEE Computational Intelligence Society (CIS).
The award aims to recognise excellent achievements in the field of computational intelligence, especially in the area of artificial neural networks. In order to realise consensus control, the paper proposes an approach to adaptively control a class of multi-agent systems using artificial neural networks. The research focuses on the inclusion of time-delay component in nonlinear multi-agent systems which increases the complexity of consensus control, especially when time delays are unknown.
Prof Chen is the editor-in-chief of the IEEE Transactions on Systems, Man, and Cybernetics: Systems, an associate editor of the IEEE Transactions on Cybernetics, and IEEE Transactions on Fuzzy Systems, a steering committee member of the IEEE Transactions on Big Data, and the vice editor-in-chief of the Communications of Chinese Association of Automation (published by the Chinese Association of Automation under the Chinese Academy of Sciences). He has been a board member of the Chinese Association of Automation since 2011. He was the president of IEEE’s Systems, Man, and Cybernetics Society (IEEE SMC) during the 2012-2013 period, and now serves as its senior past president in charge of fellows and awards. He was a distinguished lecturer of the IEEE SMC Society from 2010 to 2015.
The IEEE CIS is a worldwide network of researchers, professionals, practitioners, and students who are interested in nature-inspired problem-solving methods. It annually recognises significant contributions and meritorious services in the field of computational intelligence.
澳門大學科技學院院長陳俊龍的科研論文《運用神經網絡對有時間延遲系統類的非線性多智體進行自適應的一致控制Adaptive Consensus Control for a Class of Nonlinear Multi-agent Time-delay Systems Using Neural Network》，獲頒《國際電機電子工程師學會（IEEE）神經網絡及學習系統滙刊》傑出論文獎，以表彰其論文對人工神經網絡與深度學習理論、設計的貢獻。
該論文從2014年發表於《IEEE神經網絡及學習系統滙刊》的195篇論文中挑選出來，獎項由國際電機電子工程師學會計算智能學會頒發。《IEEE神經網絡及學習系統滙刊》主要刊登各項有關人工神經網絡及深度學習系統的理論、設計及應用的技術性文章。而獎項的設立旨於表彰在計算智能領域尤其人工神經網絡的傑出成就。在陳俊龍的獲獎論文中，提出一種利用人工神經網絡對於非線性類的多智體系統進行自適應的一致控制的方法。研究重點是在非線性多智體系統中加入延時元件後增加一致性控制的複雜性，特別在延時未知的情況下。
陳俊龍是《國際電機電子工程師學會系統、人及控制論匯刊：系統》主編、《國際電機電子工程師學會控制論期刊》以及《國際電機電子工程師學會模糊系統期刊》副編輯、《國際電機電子工程師學會大數據期刊》執行委員會委員及《中國自動化學會通訊》副主編。自2011年起擔任中國自動化學會常務理事，並曾擔任2012／2013年度國際電機電子工程師學會系統人機及智能自動學會主席，現為該會的資深前主席，主要負責會士及獎項相關工作。另外，他曾於2010年至2015年期間為國際電機電子工程師學會系統人機及智能自動學會的傑出講師。
國際電機電子工程師學會計算智能學會由來自世界各地對大自然啟發而提出問題解決的方法有興趣的研究員、專家學者、業界人士和學生而組成。學會每年會向在計算智能領域中作出重大貢獻的人士頒發獎項。
UM FST Dean Philip Chen receives IEEE Transactions on Neural Networks and Learning Systems Outstanding Paper Award
澳大陳俊龍獲《IEEE神經網絡及學習系統滙刊》傑出論文獎