报告题目：From System Identification to (Deep) Learning and Big Data报告人：Lennart Ljung（院士）报告时间：2018年9月10日 晚上7:30—8:30报告地点：东九 B101 报告摘要：Data science is a topic of great interest which has reached considerable current attention. It includes central research areas such as machine learning, deep learning and "big data”. Despite the extensive nomenclature and wide app...

​报告题目：Convexity and Regularization Issues in System Identification报告人：Lennart Ljung（院士）报告时间：2018年9月10日 下午14:30—15:30报告地点：南一楼中311 报告摘要：System Identification is about estimating models of dynamical systems from measured input-output data. Its traditional foundation is basic statistical techniques, such as maximum likelihood estimation. This relies on minimi...

报告题目：Abnormality estimation and resilient control报 告 人：Zhiwei Gao 教授University of Northumbria at Newcastle (UK)报告时间：2018年09月10日10:00报告地点：南一楼中311 Abstract: In this talk, abnormality estimation and resilient control are introduced. Abnormality means unexpected abnormal characteristics which would have adverse affect on system operation. Resilient control represents a c...

报告题目：Multi-agent Visual Control: Insights from Classical Mechanics, Nonlinear Systems theory and Biology报告人：Bijoy K. Ghosh报告时间：2018年7月26日上午9:30—10:30报告地点：南一楼中311报告摘要：In this talk we introduce a flock of visual agents that rotate and track a visible point target in space. Extending our original work on rotation of human eye movement, we claim that the multi-eye ...

报告题目：Control for Intelligent Manufacturing - An Academic Perspective报告人：李涵雄报告时间：2018年7月26日上午13:00—11:30报告地点：南一楼中311报告摘要：The “Made in China 2025” initiative will require full automation in all sectors, from customers to production. This will result in great challenges to manufacturing systems in all sectors. In the future of manufacturing, all devices and ...

报告题目：Control for Intelligent Manufacturing - An Academic Perspective报 告 人：Han-xiong Li教授（City University of Hong Kong）报告时间：2018年7月26日10：30报告地点：南一楼中311室 摘要：The “Made in China 2025” initiative will require full automation in all sectors, from customers to production. This will result in great challenges to manufacturing systems in all sectors. In the future of...

报告题目：Bio-Inspired Autonomy for Mobile Sensor Networks报告人：Fumin ZHANG报告时间：2018年7月25日下午4:00—5:00报告地点：南一楼中314报告摘要：    There is an increasing trend for robots to serve as networked mobile sensing platforms that are able to collect data and interact with humans in various types of environment in unprecedented ways.  The need for undisturbed operation posts higher go...

报告题目：Disturbance observer based control technique: Concept, Methods and Challenges报 告 人：Wen-Hua Chen教授（英国拉夫堡大学）报告时间：2018年07月24日10：00报告地点：南一楼中312室 Abstract:Disturbance rejection and robustness are essential in all the control systems designs. Disturbance Observer Based Control (DOBC) and related methods have been researched and applied in various industrial...

报告题目：Thermal stability criterion integrated in model predictive control for batch reactors报告人：Walter kahm（剑桥大学）报告时间：2018年7月19日 下午3:00—4:00报告地点：南一楼中311报告摘要：Thermal runaways can have a significant impact on the performance and normal operation of reaction processes, causing safety issues and financial loss, which hinder the intensification of such processes...

报告题目：Applications of Computational Intelligence to Condition-Based Maintenance报告人： Kay Chen Tan, 香港城市大学教授报告时间：2018年7月23日（周一）上午10:00-11:00报告地点：南一楼中311报告摘要：Condition-based maintenance (CBM) is known as an important tool for running a plant or factory in an optimal manner. Although developments in recent years have allowed some types of equipment to be ...