学术报告 （一）：

专家：Gang Feng  City University of Hong Kong, Hong Kong, China

题目：Distributed Entrapping Control of Multi-Agent Systems with Bearing Measurements

地点：42教320会议室 

时间：10月20日 9：20-10：20

摘要:  In this talk we consider distributed entrapping control of multi-agents systems based on bearing measurements. A time-varying entrapping formation with a prescribed shape is adopted, and such a formation allows agents to move even in restricted areas while still entrapping the target. A distributed entrapping control framework based on a leader-follower structure is developed, which includes formation shape observers, relative position estimators, and distributed controllers. It is shown that the stability of the resulting closed loop system is guaranteed if its so-called bearing observability conditions are satisfied. Since the entrapping formation is determined by the trajectories of the leaders, we further characterize the sufficient conditions on the trajectories of the leaders such that the bearing observability conditions of the closed-loop system are always satisfied, and the estimation errors and the formation tracking errors converge to zero asymptotically. Simulations verify the effectiveness of the proposed control framework.

专家简介： Gang Feng received the B.Eng and M.Eng. Degrees in Automatic Control from Nanjing Aeronautical Institute, China in 1982 and in 1984 respectively, and the Ph.D. degree in Electrical Engineering from the University of Melbourne, Australia in 1992.

Professor Feng was a Lecturer/Senior Lecturer at University of New South Wales, 1992-1999. He has been with City University of Hong Kong since 2000, where he is now a Chair Professor of Mechatronic Engineering and the director of Centre for Robotics and Automation. He has received the IEEE Computational Intelligence Society Fuzzy Systems Pioneer Award, the IEEE Transactions on Fuzzy Systems Outstanding Paper Award, the Outstanding Research Award and President Award of City University of Hong Kong, Alexander von Humboldt fellowship, and several best conference paper awards. He is listed as a SCI highly cited researcher by Clarivate Analytics since 2016.  He has authored or co-authored >450 journal papers, including >200 IEEE Transactions (>100 TAC and Automatica) His research interests include intelligent systems and control, networked control systems, and multi-agent systems and control.

Professor Feng is a fellow of IEEE. He has been an Associate Editor of IEEE Trans. Automatic Control, IEEE Trans. Fuzzy Systems, IEEE Trans. Systems, Man, & Cybernetics, Mechatronics, Journal of Systems Science & Complexity, Journal of Guidance, Navigation & Control, and Journal of Control Theory and Applications. He is also on the advisory board of Unmanned Systems.

学术报告（二）

专家：关治洪  华中科技大学

题目：机器协作中的类脑混杂控制

地点：42教320会议室 

时间：10月20日10：20-11：20

摘要： 陆海空天网多维无人装备通过感知、学习、通信、决策、控制等智能技术融合，构建自适应、自学习、自调控的混杂智能集群系统，这对增强国防安全和经济建设的智能化具有重大意义。传统智能集群系统受限于单一群体或异构物理属性的差异，难以实现多维智能互补和自主学习决策，完成极端环境下的复杂任务。类脑混杂控制理论方法可有效解决复杂环境下智能集群系统自主协同性难题。报告将介绍智能无人系统自主协同与博弈的有关挑战问题和相关研究进展。

专家简介：关治洪，华中科技大学人工智能与自动化学院教授，博士生导师。1994年在华南理工大学自控理论及应用专业博士研究生毕业，获博士学位。1994年任教授，1998年任博士生导师，首批二级教授（2007）和华中学者领军岗特聘教授（2011）。研究兴趣包括脉冲混杂系统、网络控制系统、复杂网络与多智能体（机器人）系统、智能电网、神经网络与人工智能。主持3项国家自然科学基金重点项目等研究。出版“Introduction to Hybrid Intelligent Networks, Springer 2019”等著作3部。研究成果获2005年度教育部自然科学一等奖，2014年度湖北省自然科学一等奖。爱思唯尔(Elsevier)高被引学者。