Keynote Speakers
Prof. Bin Zhou Harbin Institute of Technology, China Zhou Bin is a recipient of the National Outstanding Youth Science Fund; an awardee of the National Hundred Excellent Doctoral Dissertations; a recipient of the Chinese Youth Science and Technology Innovation Award; a recipient of the Excellent Young Scientists Fund from the National Natural Science Foundation; a winner of the Second Prize of the National Natural Science Award; a selected member of the Education Ministry's New Century Excellent Talents Support Program; and a recipient of the First Prize of the Natural Science Award from the Chinese Association of Automation (ranking first). He is a professor and doctoral supervisor at the Harbin Institute of Technology, and the director of the Control Theory and Guidance Technology Research Center. His research interests include time-varying systems, nonlinear control, multi-agent systems, spacecraft control, and aircraft guidance and control. He has published over 200 papers in top journals in the field, such as Automatica, IEEE Transactions on Automatic Control, and SIAM Journal on Control and Optimization. He currently serves on the editorial boards of international journals including Automatica, IEEE Transactions on Automatic Control, IEEE Transactions on Aerospace and Electronic Systems, and IEEE Transactions on Systems, Man, and Cybernetics: Systems. Speech Title: Prescribed-Time Control by Periodic Delayed Feedback Abstract:Prescribed-time control has been a hot topic in recent years. Existing prescribed-time control methods are mainly based on time-varying high-gain feedback (THF). However, since an infinite gain is practically impossible to achieve, such kind of controllers are not well-defined at and after the prescribed settling time. Recently, another control scheme capable of achieving prescribed-time stabilization, namely, a periodic delayed feedback (PDF) scheme, was proposed. An appealing feature of the PDF is that the time-varying controller gain is bounded and can be chosen continuous, continually differentiable and even smooth, thereby avoiding the inherent drawbacks of THF. Over the past three years, there have been many interesting and significant developments in the PDF scheme, achieving prescribed-time stabilization of linear delay systems, strict feedback systems and single input normal nonlinear systems. As applications of the proposed methods, the prescribed-time control problems of spacecraft rendezvous control systems, hypersonic vehicle systems and manipulator systems have been investigated. Numerical simulations show the effectiveness of the proposed methods. |  |
Prof. Guangchen Wang Shandong University, China Research Interests: Stochastic Control, Stochastic Filtering, Differential Countermeasures, Financial Engineering Part-time and Honours Editorial Board Member of Control and Decision Making Editorial Board Member of System Science and Mathematics Editorial Board Member of Chinese Society of Automation TCCT Member of the First Batch of Young Scholars of Changjiang Scholars Incentive Scheme Recipient of Outstanding Young Project of the National Natural Science Fund Recipient of Distinguished Young Project of the Shandong Natural Science Fund Recipient of the New Century Outstanding Talents Supporting Scheme of Ministry of Education Winner of the 10th Shandong Province Youth Science and Technology Award. Speech Title: Robust optimal control of Bi-objective LQ system with noisy observation Abstract:This talk is concerned with a kind of partially observable LQ control problem, where the coefficients of cost functional are uncertain representing different market conditions. By virtue of backward separation technique, stochastic maximum principle, as well as filtering method, a feedback form of candidate optimal control is designed. Moreover, through some delicate analysis, the existence of maximal reference probability is certified. Finally, a numerical simulation is presented to authenticate the theoretical results. |  |
Prof. Raquel Caballero Águila University of Jaen, Spain Raquel Caballero-Águila received the B.Sc. degree in mathematics and the Ph.D. degree in mathematical sciences, from the University of Granada, Granada, Spain, in 1997 and 1999, respectively. In 1997, she joined the University of Jaén, Jaén, Spain, where she is currently a Full Professor with the Department of Statistics and Operations Research. She has authored or coauthored more than 80 papers in refereed international journals. Her research interests include time-varying stochastic systems, complex networks, filtering, prediction and smoothing. She is a Reviewer of Mathematical Reviews and also with the editorial board of Systems Science and Control Engineering. |
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