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Zhaoyong Liu

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Phd Candidate
School of Automation
Nanjing University of Science and Technology
Nanjing 210094, China
E-mail: zhaoyong_liu@njust.edu.cn

About me

I was born in January 1998. I obtained my B.E. degree at the School of Automation, Nanjing University of Science and Technology (NJUST), Nanjing, China, in 2019. I am currently pursuing the Ph. D. degree in Control Science and Engineering from the the School of Automation under the supervision of Prof. Haoping Wang, NJUST, Nanjing, China.

  • 2021.9-now, Consecutive master's and doctoral programs (Doctoral period) in Control Science and Engineering, NJUST.

  • 2019.9-2021.7, Consecutive master's and doctoral programs (Master period) in Control Theory and Engineering, NJUST.

  • 2015.9-2019.7, Bachelor's degree in Automation Engineering (Guaranteed admission to master's degree program), NJUST, thesis: “Research on Control Algorithm and Software Design for Outdoor Off-road Robot”.

Research Interests

  • Switched Systems (Linear/Affine/Nonlinear/Markov) and Hybrid Systems.

  • Cyber-Physical Systems.

  • Sampled-Data Observability and Observer Design.

Visiting Experiences

  • Online Summer School for "Automatic Control and Electrical Systems (ACES 2021)", International Academy Lille Hauts-de-France, Jul 5-13, 2021, Lille, France.

    Selected Lectures
    "Estimation in finite or fixed time" , Denis Efimov , INRIA, Lille, France.
    "Basics of System Identification and Realization Theory" , Mihaly Petreczky , CNRS, Lille, France.

Awards

  • Best Student Paper Award-Finalist (1/3) for the paper titled "Adaptive Continuous-Discrete Observer for Sampled Output Switched Affine Systems" , The 36th Youth Annual Conference of Chinese Association of Automatic (YAC2021), May 28-30, 2021, Nanchang, China.

  • National Third Prize (3/3) for the paper titled "Construction and Optimization of a Prediction Model for Octane Loss" , The 17th Huawei Cup China Graduate Mathematical Modeling Competition, Sep 19-21, 2020.

  • National First Prize (1/3) for the paper titled "Insulator Image Segmentation and Fault Area Detection Method Based on Deep Learning" , The 8th Teddy Cup Data Mining Challenge, Mar 1-May 8, 2020.

  • National Second Prize (1/3) for Outdoor Electromagnetic Group , The 14th National College Student NXP Cup Intelligent Car Competition, Aug 22-25, 2019, Weihai, China.

  • Excellent Team Graduation Design Thesis (1/4) , for Design of Outdoor Off-road Robot , Jiangsu Education Department, 2019, Nanjing, China.