学院机器人与信息自动化研究所 天津市智能机器人技术重点实验室

Institute of Robotics and Automatic Information System

Tianjin Key Laboratory of Intelligent Robotics

2022年秋季先进机器人与人工智能系列学术讲座（第196期）

Seminar Series：Advanced Robotics & Artificial Intelligence

报告时间：2022年3月31日（周四）上午10:00~11:00

腾讯会议：584-901-283

报告题目：The X-shaped Structure or Mechanism Approach to Beneficial Nonlinear Design in Engineering

报告人：Xingjian Jing 教授

专家单位：City University of Hong Kong（香港城市大学）

报告摘要：

Nonlinearity can take an important and critical role in engineering systems and thus cannot be simply ignored in structural design, dynamic response analysis, and parameter selection. A key issue is how to analyze and design potential nonlinearities introduced to or inherent in a system of under study. This is a must-do task in many practical applications involving vibration control, energy harvesting, sensor systems and robots etc. This paper presents an up-to-date review on a cutting-edge method for nonlinearity manipulation and employment developed in recent several years, named as the X-shaped structure or mechanism approach. The method is inspired from animal leg/limb skeletons and can provide passive low-cost high-efficiency adjustable and beneficial nonlinear stiffness (high static & ultra-low dynamic), nonlinear damping (dependent on resonant frequency and vibration excitation amplitude) and nonlinear inertia (low static & high dynamic) individually or simultaneously. The X-shaped structure or mechanism is a generic structure or mechanism representing a class of beneficial geometric nonlinearity with realizable and flexible linkage mechanism or structural design of different variants or forms (quadrilateral, diamond, polygon, K/Z/S/V-shape, or others) which all share similar geometric nonlinearity and thus similar nonlinear stiffness/damping properties, flexible in design and easy to implement. This paper systematically reviews the research background & motivation, essential bio-inspired ideas, advantages of this novel method, beneficial nonlinear properties in stiffness, damping and inertia, and potential applications, and ends with some remarks and conclusions.

报告人简介：

Xingjian Jing (M’13, SM’17) received the B.S. degree from Zhejiang University, China, in 1998, the M.S. degree and PhD degree in Robotics from Shenyang Institute of Automation, Chinese Academy of Sciences, in 2001 and 2005 respectively. He achieved the PhD degree in nonlinear systems and signal processing from University of Sheffield, U.K., in 2008.

He is now a Professor with the Department of Mechanical Engineering, City University of Hong Kong. Before joining in CityU, he was a Research Fellow with the Institute of Sound and Vibration Research, University of Southampton, followed by assistant professor and associate professor with Hong Kong Polytechnic University. His current research interests include: nonlinear dynamics, vibration, and control, with a series of publications of 7300+ citations and H-index 45 in Google Scholar.

Prof Jing is the recipient of a series of academic and professional awards including 2016 IEEE SMC Andrew P. Sage Best Transactions Paper Award, 2017 TechConnect World Innovation Award in US, 2017 EASD Senior Research Prize in Europe and 2017 the First Prize of HK Construction Industry Council Innovation Award. He has published more than 200 refereed SCI papers and obtained a number of patents filed in China and US.

He currently serves Associate Editors of Mechanical Systems and Signal Processing, IEEE Transactions on Industrial Electronics, & IEEE Transactions on Systems, Man, Cybernetics -Systems, and served as Technical Editor of IEEE/ASME Trans. on Mechatronics during 2015-2020. He was the lead editor of a special issue on “Exploring nonlinear benefits in engineering” published in Mechanical Systems and Signal Processing 2019 and is the lead editor of the other special issue on “Next-generation vibration control exploiting nonlinearities” to be published in MSSP 2022.