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 ...

报告题目：Multi-Agent Systems Based Distributed Control, Optimization and Energy Management in Smart Grids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08：00-11：00报告地点：线上报告Abstract：  With the widespread   integration of renewable distributed energy sources such as wind generation,   photovoltaic and solar panels, a traditional electrical network has been   experienc...

报告题目：An approach for detecting, quantifying, and visualizing the evolution of a research field报 告 人：Enrique Herrera-Viedma教授（格拉纳达大学）报告时间：2020年12月19日14：00报告地点：线上报告报告内容：This   report presents an approach to analyze the thematic evolution of a given   research field. This approach combines performance analysis and science   mapping for detecting and visual...

报告题目：Evaluation of Science: Analysis Tools for Evaluating Science报 告 人：Enrique Herrera-Viedma教授（格拉纳达大学）报告时间：2020年12月19日8：00报告地点：线上报告内容摘要：In   bibliometrics, there are two main procedures to explore a research field:   performance analysis and science mapping.Performance analysis aims at   evaluating groups of scientific actors (countries, universities, ...

报告题目：New ideas for distributed control of multi-agent systems报 告 人：Anton Ponomarev  Associate professor（St. Petersburg State University）报告时间：2020年12月8日 下午16:00-17:00报告地点：南一楼中311室Summary:We will consider a multi-agent system of autonomous boats and discuss the problem of formation control. The goal is to design a fully distributed control system to achieve converge...

报告题目：Discrete-Time Predictor Feedback for Consensus of Multiagent Systems with Delays报 告 人：Anton Ponomarev  Associate professor（St. Petersburg State University）报告时间：2020年12月8日 下午15:00-16:00报告地点：南一楼中311室Summary:This   note develops a discrete-time predictor feedback control scheme for   continuous-time multiagent systems with input and communication time delays.   ...

报告题目：基于时空网络模型的多机器人路径协同规划报 告 人：辛健斌 副教授（郑州大学）报告时间：2020年11月13日16:00报告地点：南一楼中314主持人：万一鸣内容摘要工业机器人、自主机器人等无人多机协同规划问题近年来受到广泛关注。多机协同系统耦合性较强，传统方法通常基于离散事件系统等方法规划，作业任务（间）的连续运动过程不易被统一在规划框架内，无法进一步提高作业效率和捕捉系统的动态特性。报告从多机器人协同...