报告题目：Intelligent Critical Infrastructure Systems  报 告 人：Marios M. Polycarpou教授（University of Cyprus）报告时间：2020年12月19日16：00报告地点：线上报告 Abstract: Critical infrastructures, such as electric power systems, water distribution networks, telecommunication networks, and transportation systems, provide the foundation on which communities are built and, when properly functioni...

报告题目：The Origin and Goal of CPSS: From AlphaGo to Third Axial Age报 告 人：王飞跃教授（中科院自动化所）报告时间：2020年12月20日14：00报告地点：线上报告 Bio: Fei-Yue Wang received the Ph.D. degree in computer and systems engineering from the Rensselaer Polytechnic Institute, Troy, NY, USA, in 1990.In 1990, he joined The University of Arizona, Tucson, AZ, USA, and then became a Professor and...

报告题目：The Origin and Goal of CPSS: From AlphaGo to Third Axial Age报 告 人：王飞跃教授（中科院自动化所）报告时间：2020年12月19日14：00报告地点：线上报告 Bio: Fei-Yue Wang received the Ph.D. degree in computer and systems engineering from the Rensselaer Polytechnic Institute, Troy, NY, USA, in 1990.In 1990, he joined The University of Arizona, Tucson, AZ, USA, and then became a Professor an...

报告题目：PHM Analytics for Industrial AI报 告 人：Piero P. Bonissone （PPB Analytics）报告时间：2020年12月20日10：00报告地点：线上报告Abstract: In the past, analytic model creation was an artisanal process, as models were handcrafted by experienced, knowledgeable model-builders. More recently, the use of meta-heuristics, such as evolutionary algorithms, has provided us with limited levels of a...

报告题目：PHM Analytics for Industrial AI报 告 人：Piero P. Bonissone （PPB Analytics）报告时间：2020年12月19日10：00报告地点：线上报告Abstract: In the past, analytic model creation was an artisanal process, as models were handcrafted by experienced, knowledgeable model-builders. More recently, the use of meta-heuristics, such as evolutionary algorithms, has provided us with limited levels of a...

报告题目：KNEE-DRIVEN OPTIMIZATION AND DESION-MAKING IN EVOLUTIONARY MULTIOBJECTIVE OPTIMIZATION报 告 人：Gary G. Yen教授（Oklahoma State University） 报告时间：2020年12月20日9：00报告地点：线上报告 Abstract: Evolutionary computation is a branch of studying biologically motivated computational paradigms which exert novel ideas and inspiration from natural evolution and adaptation.  The applicat...

报告题目：KNEE-DRIVEN OPTIMIZATION AND DESION-MAKING IN EVOLUTIONARY MULTIOBJECTIVE OPTIMIZATION报 告 人：Gary G. Yen教授（Oklahoma State University） 报告时间：2020年12月19日9：00报告地点：线上报告 Abstract: Evolutionary computation is a branch of studying biologically motivated computational paradigms which exert novel ideas and inspiration from natural evolution and adaptation.  The applicat...

报告题目：Interpretability in System Modeling: A Study in Granular Rule-Based Computing报 告 人：Witold Pedrycz 教授（University of Alberta）报告时间：2020年12月20日8：00报告地点：线上报告 Abstract: The facets of interpretability and explainability have become more visible on the current agenda of system modeling and Artificial Intelligence. They are especially timely in light of the increasing...

报告题目：Interpretability in System Modeling: A Study in Granular Rule-Based Computing报 告 人：Witold Pedrycz 教授（University of Alberta）报告时间：2020年12月19日8：00报告地点：线上报告 Abstract: The facets of interpretability and explainability have become more visible on the current agenda of system modeling and Artificial Intelligence. They are especially timely in light of the increasing...

报告题目：Network-based robust H∞control of systems with uncertainty报 告 人：韩清龙 教授（斯威本科技大学） 报告时间：2020年12月20日14：00报告地点：线上报告Abstract：This lecture is   concerned with the design of robust H∞ controllers for uncertain   networked control systems (NCSs) with the effects of both the network-induced   delay and data dropout taken into consideration. A new analysis ...