报告题目：Implementing Neuromorphic Reservoir Computing with Self-Assembled Memristive Switching Networks报 告 人：Thomas H. LaBean（North Carolina State University）报告时间：2018年10月29日14：00报告地点：南一楼中311 Abstract:Training and use of large nonlinear neural networks on conventional computer architectures is impeded by poor scalability and high energy penalties for sequential updates...

报告题目：Network-induced multistability: Lossy coupling and exotic solitary states报 告 人：Juergen Kurths教授（Institute of Physics at the Humboldt University, Berlin）报告时间：2018年10月17日15:00报告地点：南一楼中311室Abstract: The stability of synchronised networked systems is a multi-faceted challenge for many natural and technological fields, from cardiac and neuronal tissue pacemakers t...

报告题目：Network-induced multistability: Lossy coupling and exotic solitary states报 告 人：Juergen Kurths报告时间：2018年10月17日15：00报告地点：南一楼中311Abstract: The stability of synchronised networked systems is a multi-faceted challenge for many natural and technological fields, from cardiac and neuronal tissue pacemakers to power grids. In the latter case, the ongoing transition t...

​报告题目：基于计算智能的大规模优化报 告 人：程然教授报告时间：2018年9月19日10：00报告地点：南一楼中311报告摘要：在过去的二十年当中，计算智能技术在解决复杂优化问题中得到了很好的应用及发展。然而，绝大多数现有的计算智能技术（如：演化计算技术、群体智能技术等）仍无法很好解决大规模问题，如：大规模单目标优化问题、高维多目标优化问题、大规模多目标优化问题等。因此，包括涉及大规模决策变量及大规模优化目...

9月10日晚，瑞典皇家科学院院士、工程院院士Lennart Ljung教授在东九B101为自动化学院本科生做了题为“从系统辨识到（深度）学习与大数据”的学术报告。报告会吸引了近200名师生到场聆听。 在报告中，Lennart Ljung教授给同学们通俗易懂的介绍了数据科学中的几个基本概念如机器学习、深度学习和“大数据”。通过一些生动的例子，他强调几个数据科学的一些中心概念：如数据、建模、优化等，并且利用数据建立动态系统的数学模型去...

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 ...