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博士后學術沙龍(第32期)

文章來源:黨委教師工作部、人力資源部           添加時間:2019/1/10 15:19:51

 為搭建我校博士后之間的學術交流平臺,促進學術水平提升,學校博士后管理辦公室組織開展博士后學術沙龍活動。本次學術沙龍由我校博士后唐杰、曹林、蔡東升、黃瑞、周權分享其研究成果,誠摯邀請感興趣的師生參加。

  一、時 間:2019年1月11日(周五)9:30

  二、地 點:清水河校區經管樓賓諾咖啡

  三、主辦單位:電子科技大學博士后管理辦公室

  四、承辦單位:航空航天學院

         電子科技大學博士后聯誼會

  五、活動安排:

   報告一:     

 ?。?)主題:Identity-Based Attack Detection Utilizing Reciprocal RSS Variations in Mobile Wireless Networks

 ?。?)主講人:唐杰 航空航天學院博士后 

 ?。?)交流內容:

  In this talk, we briefly discuss Identity-based attacks (IBAs), which are one of the most serious threats to wireless networks. An attacker can masquerade as a legitimate user in the network and launch various attacks. Recently, there is an increasing interest in using the received signal strength (RSS) to detect IBAs in wireless networks. However, current schemes tend to generate excessive false alarms in the mobile scenario. We propose a novel RSS based technique, Reciprocal Channel Variation-based Identification (RCVIC) for the mobile wireless networks. RCVIC exploits the reciprocity of the wireless fading channel and RSS variations naturally incurred by mobility. It can both detect IBAs and clarify the genuine and attacking frames. Different from current schemes which partition the original RSS and then detect IBAs, RCVIC first detects IBAs by utilizing well-constructed RSS variation lists. We numerically evaluate RCVIC performance through theoretical analysis and simulations, and validate it through experiments using off-the-shelf 802.11 devices under different attacking patterns in real indoor and outdoor mobile scenarios. Our results show that RCVIC can achieve desirable detection performance.

  主講人簡介:

  Jie Tang was born in Chengdu, P.R.China. He achieved his Ph.D. degree in Communication and information system at the University of Electronic Science and Technology of China at 2018. He studied in the National Key Laboratory of Science and Technology on Communications at UESTC, P.R.China. His major interests focus on wireless communication, wireless physical layer security and information security. He was a visiting scholar at George Mason University, U.S.A.

  報告二:

 ?。?)主題:Trajectory Tracking Control of Air-Breathing Hypersonic Vehicles

 ?。?)主講人:曹林  航空航天學院博士后

 ?。?)交流內容:

  Air-breathing Hypersonic vehicles (AHVs) have attracted lots of attention for decades because of their prospects for high speed, large payload transportation and excellent cost-effectiveness to access the space routine. Over the past few years, numerous works have been done by US AirForce and NASA to further their development and designs. Although X-43A and X-51A trial vehicles have achieved success in recent years, flight control design for AHVs is still a challenging task. Because of very high flight speed, the aerodynamic properties are very difficult to be measured and estimated. Furthermore, high requirements of flight stability and high speed response, the strong couplings and various random uncertainties make it more difficult for controller design. Therefore, strong robust controllers are required exactly. Accordingly, linearized-model based control methods have been employed to deal with the flight control problem of AHV, including techniques of small perturbation and linear parameter-varying (LPV). Based on linearized model of AHV, linear control methods are employed to design the closed-loop control systems. However, linearized-model based control methods could not reflect the AHVs’ high-order nonlinearities. Therefore, advanced nonlinear control approaches for flight control of AHVs has been investigated in my researches. Based on the elastic longitudinal dynamics of AHVs, the trajectory tracking problem will be introduced in this report, while the typical nonlinear control methods based on nonlinear dynamical inversion will be presented.

  主講人簡介:

  Lin Cao is a post-doc majored in flight vehicle design. He has obtained bachelor’s degree in Haerbin Engineering University and Master’s degree in Haerbin Institute of Technology, then performed PhD research in Northwestern Polytechnical University. His research interests is mainly focus on flight control of hypersonic vehicles.   

  報告三:

 ?。?)主題:Stabilization of Time-delayed Power System with Time-domain Integral Quadratic Constraints

 ?。?)主講人:蔡東升  機械與電氣工程學院博士后

 ?。?)交流內容:

  Time delay is prejudicial to power system stability and generally worsens the performance of control system. In this talk, we focus on the delays particularly due to the measurement and actuator of exciter, and power system stabilizers of synchronous machines. Nowadays, the main approach is mostly via Lyapunov stability theory and linear matrix inequality (LMI). However, the drawbacks of Lyapunov stability theory are that the stability condition greatly depends on the definition of the Lyapunov function and the computational burden is troublesome. Thus, we propose a novel approach, in which FD-IQC(Frequency-domain Integral Quadratic Constraints) and TD(Time-domain) dissipation inequality are combined, to handle the stabilization of power system including time-varying delays. Firstly, a time-delayed power system is modeled based on time-delay differential algebraic equations. Then, an extended state-feedback system defined by the IQC method is proposed to design a delay-dependent controller. The proposed controller is proved to guarantee the time-delayed power system exponential stability. Finally, the stability issue is taken as the KYP (Kalman-Yakubovich-Popov) LMI, and the controller parameters are solved by optimal L2 gain. Simulation results show that the proposed method is better than the Lyapunov stability theory not only in computational time-saving but also in performance.

  主講人簡介:

  Dongsheng Cai received the M.S. and Ph.D. degrees from the University of Electronic Science and Technology of China (UESTC) in 2011 and 2018, respectively. He visited the University of Tennessee as a joint doctoral student in 2014-2016. He currently works as a Postdoctoral Fellow in the School of Mechanical and Electrical Engineering of UESTC. His current research and academic interests include power system stability control and electromechanical wave theory.

  報告四:

 ?。?)主題:Planning, Learning and Control of a Lower Exoskeleton System

 ?。?)主講人:黃瑞  自動化工程學院博士后

 ?。?)交流內容:

  Exoskeleton systems have gained considerable interests in both human augmentation, rehabilitation and elder-aided related applications. As a human-coupled robotic system, the main challenge of exoskeleton system design is how to make the exoskeleton system adapt different pilots and complex environment. In this talk, I will briefly introduce some of my work in planning, learning, and control of lower exoskeleton systems. This talk will only focus on rehabilitation related scenarios. Firstly, I will give a brief introduction of the AIDER lower exoskeleton system, as well as its history. Then some related work in planning, learning and control of the ADIER system will be introduced in detail. This part is separated into two episodes: the first is gait planning of the AIDER system, which include some online learning algorithm for gait model adaptation; the second is controller design of the AIDER system, which also include reinforcement learning algorithm implementation for adapting different pilots. Finally I will introduce some future work on the AIDER system.

  主講人簡介:

  R. Huang received the Bachelor degree, Master degree and Ph.D. degree from the University of Electronic Science and Technology of China, in 2010, 2013 and 2018, respectively. He currently works as a Postdoctoral Fellow in the School of Automation Engineering of UESTC. Dr. Huang is working in the field of Learning and Control of Human-Exoskeleton Systems. His main research interests include: Reinforcement Learning, Modeling of Human-Exoskeleton Systems, Controller design of Human-in-Loop Systems, Adaptive Dynamic Programming.

  報告五:

 ?。?)主題:基于超聲波的固體火箭發動機脫粘缺陷檢測研究

 ?。?)主講人:周權  自動化工程學院博士后

 ?。?)交流內容:

  固體火箭發動機殼體與絕熱層之間的界面膠粘是影響其使用安全性的關鍵因素之一。目前已有的檢測方法存在檢測成本,效率與準確性之間的矛盾。超聲波作為無損檢測的一種重要手段,具備高效,低成本等的特點,因此如何提高其檢測準確性是本課題的研究重點。通過對被檢測對象的深入分析,發現界面粘連狀態的變化,不僅會導致形狀結構的變化,同時會導致殘余應力的變化。因此這里提出對兩種基于超聲波的檢測方法的討論:1.基于共振效應的脫粘檢測,2 基于殘余應力變化的脫粘檢測。通過對前者檢測方法的原理及其優缺點的研究,我們提出基于主動式頻率掃描的檢測方法,以上來提高信號的檢測準確性,對于后者,其信號特征較為復雜,因此擬使用模式識別,機器學習等方法進行改進與優化。

  主講人簡介:

  周權,自動化工程學院無損檢測方向博士后。本碩博皆畢業于電子科技大學,目前研究方向為基于超聲波,激光散斑的無損檢測。

 

                                               電子科技大學博士后管理辦公室

 

                                                    2019年1月8日

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