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Employing Nonlinear Benefits in Engineering: Theory and Methods

Employing Nonlinear Benefits in Engineering: Theory and Methods

Prof. Xingjian Jing, Department of Mechanical Engineering, Hong Kong Polytechnic University

  • 时间:2019年4月22日上午10点30分
  • 地点:浙江大学玉泉校区液压老楼四楼会议室

Abstract: Employing nonlinearity in engineering applications is a challenging but very promising topic in the literature in recent years. Nonlinearity can be employed in various vibration control, energy harvesting and structure health monitoring for achieving advantageous performance. A special issue on this topic will be published on the leading journal – Mechanical Systems and Signal Processing. This talk will focus on a brief introduction of a theory for nonlinear analysis and design in the frequency domain with several new concepts such as nonlinear characteristic output spectrum (nCOS) or nonlinear output frequency response function (NOFRF). This method can present a novel and powerful insight into understanding nonlinear dynamics, developed in recent years. Following this, some R&D activities will be introduced about a class of bio-inspired anti-vibration structures and their applications in passive vibration control, energy harvesting systems, fault detection and diagnosis and robotics etc, recently investigated in HK PolyU.

BioXingjian 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 an Associate Professor with the Department of Mechanical Engineering, the Hong Kong Polytechnic University (PolyU). Before joining in PolyU as an Assistant Professor in Nov 2009, he was a Research Fellow with the Institute of Sound and Vibration Research, University of Southampton. His current research interests include: nonlinear dynamics, vibration and control. Dr 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 130 referred papers and obtained about 15 patents filed in China and US. He currently serves as Technical Editor of IEEE/ASME Trans. on Mechatronics, and Associate Editor of Mechanical Systems and Signal Processing. He was the lead editor of a special issue on “Exploring nonlinear benefits in engineering” published in Mechanical Systems and Signal Processing 2018.

中文简介:Xingjian Jing,博士,香港理工大学机械工程系副教授。分别获浙江大学学士(1998)、中科院自动化所硕士(2001)和博士学位(2005),英国Sheffield大学博士(2008)。主要研究领域:非线性系统分析、設計、信號處理、辨識及其在振動控制、能量採集、故障診斷、機器人等方面的應用。任国际知名杂志IEEE/ASME Trans Mechatronics和Mechanical Systems and Signal Processing的副主编。并于2018年在MSSP上任专刊主编—“Exploring nonlinear benefits in engineering”。曾获得中科院刘永龄奖,中科院院长优秀奖,EPSRC-Hutchison Whampoa Dorothy Hodgkin Award,Highest International Consultancy Award,2016 IEEE SMC best transaction paper award,2017 美國TechConnect全球技術創新獎,2017歐洲結構動力學協會Senior Research Prize,和2017香港建築業議會建築技術創新一等獎等。研究工作得到香港RGC,国家自然基金,中海油技术服务有限公司,中国航天技术研究院,中國航天控股公司,Lord公司及其它香港廣州和國際公司的资助。

Research Advice for Graduate Students

Research Advice for Graduate Students

Professor Ryan Loxton, BSc (Hons), PhD, FAustMS, FORS || School of Electrical Engineering, Computing, and Mathematical Sciences || Curtin University, Australia

Time and classroom is to be announced.

Abstract: Graduate students face the daunting task of transitioning from “learner” to “inventor” and this requires much more than just technical knowledge – for example, the ability to write and communicate is crucial, but such “soft skills” are often neglected in the education system. This talk aims to address this gap by providing graduate students with advice on improving academic writing and building a long-term research career. The speaker will discuss such questions as: “How to choose a research direction?”, “How to do high-quality research?” and “How to write publications?”. The talk is based on the speaker’s personal experience as a senior researcher who has worked with many graduate students in China.

Ryan Loxton is a professor in the School of Electrical Engineering, Computing, and Mathematical Sciences at Curtin University. His work focuses on using advanced mathematics to optimise complex processes in a wide range of applications such as mining, oil and gas, agriculture, and industrial process control. Ryan is a passionate advocate for industry engagement and has worked with many companies including Woodside Energy, Linkforce, and Vekta Automation. He has received several prestigious awards for his work, including the 2019 JH Michell Medal from the Australian Mathematical Society and the 2014 West Australian Young Scientist of the Year Award. Ryan leads the optimisation theme in the new Australian Centre for Transforming Maintenance through Data Science, which is co-funded by the Australian Research Council and industry partners Alcoa, BHP Billiton, and Roy Hill. He has published over 60 journal articles, including papers in Automatica, IEEE Transactions on Automatic Control, and SIAM Journal on Control and Optimization.

 

Short Course - Dynamic Optimization and Computational Optimal Control

Title: Dynamic Optimization and Computational Optimal Control

Professor Ryan Loxton, BSc (Hons), PhD, FAustMS, FORS || School of Electrical Engineering, Computing, and Mathematical Sciences || Curtin University, Australia

Time and classroom information: Institute of CSC Room 304, 18:30 – 21:00 // 智能系统与控制研究所304教室

This short course will introduce students to the computational tools needed to solve dynamic optimization and optimal control problems. Two core themes will be discussed: variational methods for gradient computation and switching time optimization techniques for handling switching dynamics. These concepts can be combined to solve a wide variety of constrained optimal control problems with non-standard features such as time-delays, mode switches, and state impulses.

The course schedule is as follows. (浙大玉泉校区智能系统与控制研究所304教室,时间为18:30 - 21:00)

  • 19 April, 2 hours (night): Optimal parameter selection problems
  • 22 April, 2 hours (night): Switching time optimization
  • 23 April, 2 hours (night): Optimal control problems (时间可能需要调整,稍后通知)

Ryan Loxton is a professor in the School of Electrical Engineering, Computing, and Mathematical Sciences at Curtin University. His work focuses on using advanced mathematics to optimise complex processes in a wide range of applications such as mining, oil and gas, agriculture, and industrial process control. Ryan is a passionate advocate for industry engagement and has worked with many companies including Woodside Energy, Linkforce, and Vekta Automation. He has received several prestigious awards for his work, including the 2019 JH Michell Medal from the Australian Mathematical Society and the 2014 West Australian Young Scientist of the Year Award. Ryan leads the optimisation theme in the new Australian Centre for Transforming Maintenance through Data Science, which is co-funded by the Australian Research Council and industry partners Alcoa, BHP Billiton, and Roy Hill. He has published over 60 journal articles, including papers in Automatica, IEEE Transactions on Automatic Control, and SIAM Journal on Control and Optimization.