July 28, 13:30-15:00
Chair: Weidong Zhang (Shanghai Jiaotong University, China)
Panelists: Jiancheng Yu (Shenyang Institute of automation, CAS)
Junzhi Yu (Peking University,China)
Luo Jun (Chongqing University,China)
Weidong Zhang (Shanghai Jiaotong University, China)
Abstract: Ocean robots, including unmanned submersibles, unmanned surface vessels and unmanned aerial vehicles, are the hot research directions in the field of robotics in recent years, and also the current key development direction in the field of robotics in China. In this plenary panel discussion, we invited domestic authoritative experts to introduce the international latest research results on autonomous control of underwater gliders, visual perception in aquatic environment, positioning and control of surface vessels, analyze the bottleneck problems in this field, and prospect the future trend. This plenary panel provides an opportunity for interested participants to interact with the experts in the field through face-to-face communication.
Title: Technology and Application of Marine Observation Robots
Abstract: In recent years, the technology of marine robots represented by underwater glider has made great advance, and has been widely used in the field of ocean observation, and achieved remarkable application results. Focusing on the demand of multi-scale, high-resolution and real-time observation for marine scientific research, it is an important development direction in the future to deeply integrate marine robot technology, automation technology and artificial intelligence technology, and promote the realization of intelligent ocean observation step by step. This report will introduce the development status of marine robot technology, and discuss the autonomy ocean observation technology and application with marine robots.
Jiancheng Yu, is the director of the Center for Innovative Marine Robotics, Shenyang Institute of automation, CAS. He received Ph.D. degree in mechatronic engineering from Shenyang Institute of Automation, CAS in 2006. He mainly engaged in the research of new concept underwater vehicles, theory and technology for autonomy ocean observation, control methods for underwater vehicles.
Title: Visual Perception and Control in Aquatic Environments
Abstract: Acquiring underwater environment information at low cost remains a critical problem to be solved in underwater robot operations. Due to the particularity of the underwater environment, underwater machine vision is facing serious quality degradation, motion degradation and other problems. In response to these challenging issues, this talk focuses on the introduction of underwater vision real-time adaptive recovery, sequential single-stage detection and multi-target tracking methods, as well as depth, orientation, planar path tracking and other control technologies of bionic robotic dolphin for mobile sensing applications. At last, future directions of research related to this work will also be discussed.
Junzhi Yu is an Endowed Boya Professor of Peking University. His research interests generally lie in intelligent robots, motion control, and intelligent mechatronic systems. He has published more than 100 papers in international journals and conferences, including 60+ papers in IEEE Transactions. Dr. Yu serves/served as associate editors of IEEE Transactions on Robotics, IEEE/ASME Transactions on Mechatronics, Bioinspiration & Biomimetics, etc.
Title: Key Technology and Equipment for USV
Abstract: Unmanned surface vehicles （USV） have found extensive applications in mapping nautical charts, investigating marine environment, and supporting national military defense. USVs that are at abominable sea states are faced with crucial challenges including how to navigate accurately, how to automatically avoid obstacles, how to get retrieved by carriers and how to stay stable. Hereby we propose an anti-disturbance control method based on space mapping between flow disturbances and USV attitude. As such, high-precision trajectory tracking is achieved in complex areas of reefs, islands and coral cays. Under code 4 sea state, the tracking error is within 2m, which is 60% more accurate than that IHO Standards for Hydrographic Surveys (5m+5%d). We propose a control method based on uncertainty set constraint for obstacle avoidance, achieving a safety distance as short as 40m away from moving target at sea under the high speed of 18kn. Also, we develop vibration isolation technique based on a 6 DoFs fully decoupled mechanism, nonlinear negative stiffness rheological structure and a large-amplitude-single-frequency vibration control approach. The amplitude and stabilizing period are sharply reduced by 98.4%, and from 7s to 0.3s, respectively. The USV vibration at sea is suppressed to -10dB@1HZ and -35dB@10Hz, achieving the sound stealth effect. With the above combined technologies, our USVs managed to accomplish a great many tasks, e.g. mapping charts, undertaking geological survey, conducting sea rescue, investigating marine environment, implementing archaeological survey and so on at East China Sea and South China Sea.
Luo Jun, born in Oct., 1970, is a professor and the director of the state key laboratory of mechanical transmissions at Chongqing University. He is also the director of research Institute of USV engineering at Shanghai University. He was the former president of SHU Research Office, former director of Shanghai Robotics Institute, leader of the Double-First Class discipline of mechanical Engineering of the ministry of education, and deputy director of Shanghai key laboratory of Intelligent manufacturing and Robotics.
His research focuses on mechanical transmission control, anti-jamming of mobile robot towards environment loads, and intelligent unmanned systems. He has conducted over 40 state-level and provincial level projects and won the National Technology Invention Awards (2nd class), Shanghai Technology Invention Awards (1st class), Progress of Science and Technology Prize (1st class), etc. He has published more than 200 research papers, including over 100 journal papers. He has been authorized with over 110 invention patents.
Title: Research and Verification of Autonomous Positioning Technology for Oversea Unmanned Systems
Abstract: Autonomous positioning is a basic core technology of the unmanned system, which is the premise and guarantee for the system to complete all kinds of missions. In recent years, IPAC Group of Shanghai Jiaotong University has carried out a lot of work around the positioning technology of the oversea unmanned system. The talk introduces the research progress of IPAC Group, and focuses on the work of air-sea cooperative positioning and multi ship cooperative positioning. The air-sea cooperative positioning system is composed of USV and UAV. The UAV Landing based on visual navigation is realized through autonomous positioning for automatic energy supply. The multi ship cooperative positioning system is composed of multiple ships, which can achieve the desired task through high-precision positioning. The talk introduces the background and demand of the such positioning technologies, analyzes the key problems and challenges of the system, demonstrates the results of technical verification, and prospects future applications of the technology.
Weidong Zhang received his Bachelor degree, Master degree and Ph.D from Zhejiang University. He is the receipt of the National Science Fund for Distinguished Young Scholars, Alexander von Humboldt fellow, and the Excellent Discipline Leader of Shanghai. He is currently Director of the Engineering Research Center of Marine Automation，Shanghai Municipal Education Commission. His research interests include intelligent control theory and artificial intelligence theory, and their application in ocean unmanned systems. His academic contribution is to put forward quantitative control theory. He has published 1 English monograph and more than 160 SCI papers, and holds 52 invention patents. His paper has won the IEEE CCTA Excellent Paper and the IET CTA Best Paper Award.
July 28, 15:20-16:50
Chair: Weidong Zhang (Shanghai Jiaotong University, China)
Panelists: Qiang Huang (Beijing Institute of Technology, China)
Panfeng Huang (Northwestern Polytechnical University, China)
Yili Fu (Harbin University of Technology,China)
Hao Fang (Beijing Institute of Technology, China)
Abstract: Cooperation is an important feature of many robots, including cooperation among different functional units of robots and cooperation among different robots. In this plenary panel discussion, we invited domestic authoritative experts to introduce the international latest research results on humanoid robot, space robot, surgical robot and multi-agent cooperation, analyze the bottleneck problems in this field, and prospect the future trend. This plenary panel provides an opportunity for interested participants to interact with the experts in the field through face-to-face communication.
Title: Humanoid robotics: latest progress, challenges and insights on its development
Abstract: Being able to walk with two legs and manipulate tools with both hands, humanoid robots can easily adapt to our daily environment and has application in wide fields including social services and public security. This presentation begins with an overview of the state-of-the-art humanoid robots in the world and then gives an assessment of the gaps and challenges that Chinese and global developers are facing. In this presentation, it is proposed that improvements can be made in core components, environment adaptability and intelligent manipulations that mimic human. The presentation concludes with an introduction of the each generation of BHR Humanoids and its latest progress.
Qiang Huang is a professor at Beijing Institute of Technology, director of the Ministry of Education Key Laboratory for Biomimetic Robots, executive director of Beijing Advanced Innovation Center for Intelligent Robots and Systems (BAICIRS). Prof. Huang was appointed as one of the first Scientific and Technological Innovation Leading Talents of China’s “Ten Thousand Talent Program”, awarded Distinguished Professor under the Changjiang Scholars Program, and granted National Science Fund for Distinguished Young Scholars.
He serves as a member of the editorial boards of several international academic journals including Advanced Robotics and Intl. J. Social Robotics. He is also a co-founder of IEEE TC for Cyborg and Bionic Systems (CBS), the IEEE CBS international conference series and a founding editor of the journal Cyborg and Bionic Systems. In recent years, Professor Huang as general chairs has organized a number of international conferences including IEEE-Humanoids 2018, IEEE-ROBIO 2017, IEEE-CBS 2017 and ICME 2017.
His research interests include bionic robotics, micro/nano-robotics and smart prosthesis. He led the development of BHR robocis, published over 100 papers in SCI journals and has been authorized more than 70 patents. For his contribution, Prof. Huang received the Second Prize of State Technological Invention, IFToMM’s Award of Merit and over 10 awards for his papers in international conferences.
Title: Key Technology and Application of Intelligent Space Robots
Abstract:In the 21st century, on-orbit service and maintenance technology have become a new hotspot in the development of aerospace high-tech field and strategic commanding height of national security. As an effective means to carry out this task, space robots have become a research hotspot in the field of spacecraft on-orbit service and maintenance technology. This report will introduce the key technology research and on-orbit test of space robots developed by the Research Center for Intelligent Robotics, Northwestern Polytechnical University with the support of national major missions and projects. Firstly, the report has expounded the development and flight test of teleoperation system in the major task of space maintenance technology scientific experiment in China. Secondly, the key technology research and development of a new tethered space robot have been introduced. And the difficult problems and development trends of space robots have been sorted out. Finally, the report has prospected the application potentiality of space robots in on-orbit service, manned space engineering and deep space exploration.
Panfeng Huang is now Professor and Dean of the College of Automation, Northwestern Polytechnical University. He received B.S. degree and M.S degree from Northwestern Polytechnical University, and Ph.D. from the Chinese University of Hong Kong in Automation and Computer Aided Engineering in 2005. He was granted by the National Science Fund for Distinguished Young Scholars, and was awarded by The National Ten-thousand Talents Program in 2017. He served as a national expert on High-Technology Development Planning (863) from 2008 to 2016, vice president of National Major Task from 2009 to 2016. He was invited expert on National Manned Space Applications and Services from 2015, and served as expert on National New Generation AI Major Project from 2018. He is responsible for developing the first teleoperation system for space robotic arm in China, which successfully achieved remote operation of the space manipulator by man on the ground. A Tethered Space Robotics system for on-orbit capture including design theory and methodology is first addressed and refined by Prof. Huang. Besides, he was a PI of more than forty national projects in the last ten years, including the National Natural Science Foundation of china, National Key Research and Development Project, and major projects in High-Technology Development Planning (863) etc. He was awarded two Second Prize of National Defense Technology Inventions (ranking first). He has published two English monographs and Two Chinese monographs. He was published over 100 academic papers, more than seventy papers were published or accepted by international journal among these papers. He has been authorized 55 national invention patents.
Title: Latest Progress and Challenges of Intelligent Surgery Robotics
Abstract:Surgical robot is one of the most important research directions since the robot came out, and will become a new growth point of the world economy. But the design, control, test, safety and other aspects of the surgical robot and the industrial robot are very different. This talk introduces the advanced achievements of international surgical robots, expounds the differences between the research and development of surgical robots and industrial robots, analyzes the gap between the most advanced robots in China and the world, and prospects the development direction of the combination of surgical robots and artificial intelligence. At last, the latest development of the research on the surgical robot of Harbin Institute of technology is introduced.
Yili Fu is Professor of Harbin University of Technology, deputy director of National Key Laboratory of Robotics and Systems, deputy director of Robotics Research Institute of Harbin University of Technology, chief scientist of robotics group of Harbin University of Technology, director of robotics Professional Committee of Chinese Society of Artificial Intelligence, leader of Technical Expert Group of Intervention Operation Robot and other projects in the 13th five year National Key Research and Development Plan.
He served as editorial board member of six international journals, including int. J. of Humanoid Robotics. He has served more than 10 times as chairman of IEEE series of famous international academic conferences, chairman of procedure Committee and chairman of organization committee.
He is engaged in research and development of medical robots and special robots. As the chief scientist and project leader of the project, he has undertaken more than 30 national and provincial level projects. The first large-scale robot mechanism simulation system, finger injury and rehabilitation bionic manipulator, digital human brain anatomy electronic atlas, cardiovascular intervention surgery robot system, abdominal minimally invasive surgery robot system and hydraulic driven biped robot system in China have been developed. He has won 7 provincial and ministerial science and technology progress awards, published more than 100 SCI articles, 5 monographs and 47 national invention patents.
Title: Distributed Cooperative Fault Detection for Multi-Agent Systems
Abstract:Multi-agent systems have received more and more attention because of their many advantages such as low development cost, high efficiency and flexibility. However, the lack of a central agent to monitor the entire system's behavior makes the system extremely vulnerable to interference, trapping and strikes, which may leads to faulty nodes and brings great challenges to the security and reliability of the system. In this talk, we propose a novel distributed fault detection scheme where the cooperation mechanism among agents is applied to achieve reliable detection of faulty agents without improving the hardware performance of agents. This scheme can solve the fault detection and identification problem under the condition that both physical faults in facilities and false-data-injection attacks in communication networks exist, and can also solve the fault detection problem using only relative output measurements. Moreover, a data-driven fault detection algorithm by using both hardware redundancy and time redundancy is investigated.
Hao Fang received his B.S. degree from Xi'an University of Technology in 1995, received the M.S. and Ph.D. degrees from Xi’an Jiaotong University in 1998 and 2002. He has held two postdoctorate appointments at INRIA/France research group of COPRIN and at LASMEA (UNR6602 CNRS/Blaise Pascal University, Clermont-Ferrand, France). He has served as Assistant Professor (2005-2011) and Professor (2011-) in School of Automation, Beijing Institute of Technology. His research interests include multi-agent system control, complex system control and intelligent robots. He won the Second Prize of National Natural Science Awards in 2014, the First Prize of Natural Science Award of the Ministry of Education in 2013, the support of the Program for New Century Excellent Talents in University in 2012.
July 28, 14:00-16:00
Education reform and development on automation
Chair: Quan Pan (Northwestern Polytechnical University, China)
Shaoyuan Li (Shanghai Jiao Tong University, China)
Panelists: Ren-quan Lu (Guangdong University of Technology ,China)
Qing-lei Hu (Beihang University, China)
Song Gao (Xi'an Technological University, China)
Yu-xin Zhao (Harbin Engineering University China)
Wei-hua Cao (China University of Geosciences)
Zhun-ga Liu (Northwestern Polytechnical University, China)
Abstract: CCC2020 proudly presents the plenary panel session on “Education reform and development on automation”. We are very glad to invite six prominent professors in the field of automation to be panelists. They will share their precious experiences and thinking on the reform and development for the undergraduate and graduate education and discipline construction in automation. We want to provide an opportunity for interested participants to interact with theses professors through effective dialogues in this plenary panel.
Ren-quan Lu received his Ph.D. degree in Control Science and Engineering from Zhejiang University, Hangzhou, China, in 2004. He was supported by the National Science Fund for Distinguished Young Scientists of China in 2014, honored as the Distinguished Professor of Pearl River Scholars Program of Guangdong Province, the Distinguished Professor of Yangtze River Scholars Program by the Ministry of Education of China in 2015 and 2017, respectively. Currently, he is a professor of the School of Automation, and the dean of Academy of Science and Humanities, Guangdong University of Technology, Guangzhou, China.
Dr. Lu focuses on the investigation of cooperative control of unmanned systems with variable structure. He has already built production line for UAVs and UGVs from design, processing, integration to assembling, and developed unmanned robots like amphibious vehicle with variable structures, air-water/air-ground autonomous amphibians with variable structures. The self-developed unmanned driving system and the self-developed flight control system have been industrialized as well. Meanwhile, he also obtained the support of the local innovation team of Guangdong Province (level 1), the innovation team in the key areas of the Ministry of Science and Technology, and the research team of the Natural Science Foundation of Guangdong Province. He was honored the first prize of Natural Science of Ministry of Education, First Prize of Guangdong Science and Technology Progress Award. He has 68 ESI highly cited papers, applies for more than 70 patents. In 2019, Prof Lu was selected as highly cited scholar worldwide.
Qing-lei Hu received the B.Eng. degree in electrical and electronic engineering from Zhengzhou University, Zhengzhou, China, in 2001, and the Ph.D. degree, with the specialization in guidance and control, in control science and engineering from Harbin Institute of Technology, Harbin, China, in 2006. From 2003 to 2014, he was with the Department of Control Science and Engineering, Harbin Institute of Technology, and then he joined Beihang University in 2014 as a Full Professor. He worked as a postdoctoral research fellow in Nanyang Technological University from 2006-2007, and from 2008-2009, he visited University of Bristol as Senior Research Fellow supported by Royal Society Fellowship, and from 2010-2014, he visited Concorida University, Lakehead University and Nanyang Technological University again as visiting professor. His current research interests include variable structure control and applications, and fault-tolerant control and applications. In these areas, he has authored or co-authored more than 80 technical papers. He has been actively involved in various technical professional societies such AIAA, IEEE and ASME, as reflected by AIAA Associate Fellow, IEEE Senior Member and general chair of many international conferences. He also served as Associate Editors for many international journals, such as the IEEE Transaction on Aerospace and Electronic Systems, etc.
Song Gaoreceived the B.E. degree in detection technology and instrument professional from Huazhong University of Science and Technology in 1988, his M.E. and Ph.D. degrees in control science and control engineering from Northwestern Polytechnical University, in 1995 and 2011, respectively. He visited the Windsor University in Canada as a visiting scientist from October 2007 to September 2008, and has carried out scientific research cooperation and academic exchanges in the United States, Germany, the United Kingdom, and other countries.
He is currently the dean of the School of Electronic Information Engineering of Xi'an Technological University, the director of International Joint Research Center for Autonomous Systems and Intelligent Controls. His main research interests include intelligent control, detection technology, automatic control system and grid-connected inverter, etc. Now, he works as the national second-level professor and doctoral tutor. He also serves as director of China Command and Control Society, executive director of Shaanxi Automation Society, member of Education Working Group of Control Theory Professional Committee of China Automation Society, IEEE member, national international scientific and technological cooperation expert of Ministry of Science and Technology, coordinating member of the Teaching Guidance Committee of the Automation Specialty in colleges and universities of the Ministry of Education.
Yu-xin Zhaoreceived his B.S. degree in Automation, and Ph.D. degree in navigation, guidance, and control from Harbin Engineering University (HEU), China, in 2001 and 2005, respectively. He completed his postdoctoral research in control science and engineering from Harbin Institute of Technology in 2008. He is currently the professor and head with the College of Automation, HEU. His research interests include marine navigation system, marine surveying instruments and marine intelligent system. He was awarded the Young scholars of Chang Jiang Scholars Program in 2017 and served as the fellow of IET, the fellow of China Navigation Institute.
Wei-hua Cao received his B.S., M.S., and Ph.D. degrees in engineering from Central South University, Changsha, China, in 1994, 1997, and 2007, respectively. He was a Visiting Scholar with the Department of Electrical Engineering, University of Alberta, Edmonton, AB, Canada, from 2007 to 2008. He is currently a Professor with the School of Automation, China University of Geosciences. His research interests include intelligent control, robotics control, and process control. He has published more than 70 SCI-indexed papers, and won 2 second-class prizes and 2 third-class prizes of Provincial or Ministerial Science and Technology Progress Award.
He is a member of Technical Committee of Control Theory of Chinese Association of Automation and a member of Technical Committee of Intelligent Robots of Chinese Association for Artificial Intelligence. He served as the Chair of Organization Committee of Chinese Control Conference in 2018.
Zhun-ga Liureceived the Bachelor and Master degree from Northwestern Polytechnical University (NPU) in 2007 and 2010 respectively, and the Ph.D degree from Telecom Bretagne, France in 2014. He is a professor and vice dean of School of Automation, NPU. His current research interests mainly focus on information fusion and pattern recognition. He has been awarded the national youth talent support funding, and the first prize of science and technology of Shaanxi Province. He serves as board of director in The Belief functions and Applications society (BFAS). He was TPC member and session Chair for many international conferences like FUSION 2014-2018, and he serves as Special sessions/panels co-chair in organization committee of FUSION2019. He is the area editor of International Journal of Approximate Reasoning, and the associate editor of IEEE Transactions on Systems, Man, and Cybernetics: Systems. He served as Guest editor of SCIENCE CHINA Information Sciences.
July 29, 15:00-17:00
Control of Stochastic Systems
Chair: Feiqi Deng (South China University of Technology, China)
Panelists: Zhixin Liu (Institute of Mathematics and Systems, Chinese Academy of Sciences)
Bo Shen (Donghua University, China)
Xiaoyue Li (Northeast Normal University,China)
Wuquan Li (Ludong University, China)
Abstract: CCC2020 forum exchanges the latest research results around the analysis and control of stochastic systems and shares research findings. We are very happy to invite authoritative experts in the field of random system control to share our valuable experience and ideas. We hope that through effective dialogue at the conference, the research on the theory of stochastic system control will be further developed in domestic and foreign academic circles.
Title: Convergence of distributed estimation algorithms of multi-agent systems
Abstract: With the development of computer science and communication, sensor networks are widely applied due to the advantages of flexibility, fault tolerance, and ease of deployment. The sensor networks bring more and more data, and how to apply the data from the sensors to design the proper estimation algorithm is a promising research direction. The distributed estimation algorithms are proposed where the distributed estimators are aimed to collectively estimate an unknown parameter from a set of noisy measurements obtained by distributed sensors. The cooperative excitation conditions are introduced, under which the convergence of the distributed estimation algorithms can be obtained without relying on the independency and stationarity assumptions of regression vectors which are commonly used in existing literature. Furthermore, we show that all sensors can cooperate to fulfill the estimation task even though any individual sensor not.
Zhixin Liureceived the B.S. degree in Mathematics from Shandong University, China, in 2002, and the Ph.D. degree in control theory from Academy of Mathematics and Systems Science (AMSS), Chinese Academy of Sciences (CAS), in 2007. She is currently a full professor of AMSS, CAS, and the director of the Key Laboratory of Systems and control of CAS. She had visiting positions at KTH Royal Institute of Technology, University of New South Wales, Canberra and University of Maryland, College Park. She was a recipient of the T J Tarn Best Theoretical Paper Award of the 13th World Congress on Intelligent Control and Automation in 2018, a recipient of the Outstanding Young Scholar Award by Chinese Society of Industrial and Applied Mathematics in 2015, and a receipt of SIGEST paper award in 2014. She now serves as the Associated Editor-in-Chief for Journal of Systems Science and Mathematics, Associate Editor for Science China Information Sciences, Control Theory and applications. She also serves as the vice-chair of the CSIAM Activity Group on Complex Networks and Complex Systems, and the General Secretary of Technical Committee on Control theory of Chinese Association on Automation. Her current research interests are complex systems, multi-agent systems and distributed estimation.
Title: Control and Filtering with Aperiodic Samplings
Abstract:Aperiodic sampled-data systems have attracted increasing attention from researchers. In this talk, the aperiodic samplings are divided into passive and initiative sampling fashions. In the case of passive sampling, some new stochastic sampling phenomena are investigated and the results on the control and filtering problems with such stochastic samplings are presented. For the case of initiative sampling, the event-triggering strategy is adopted and the corresponding event-based filter is designed. Moreover, the future research topics related to aperiodic sampled-data systems are discussed.
Bo Shen received his B.Sc. degree in mathematics from Northwestern Polytechnical University, Xi'an, China, in 2003 and the Ph.D. degree in control theory and control engineering from Donghua University, Shanghai, China, in 2011. He is currently a Professor with the College of Information Science and Technology, Donghua University, Shanghai, China. From 2009 to 2010, he was a Research Assistant in the Department of Electrical and Electronic Engineering, the University of Hong Kong, Hong Kong. From 2010 to 2011, he was a Visiting PhD Student in the Department of Information Systems and Computing, Brunel University, U.K. From 2011 to 2013, he was a Research Fellow (Scientific co-worker) in the Institute for Automatic Control and Complex Systems, University of Duisburg-Essen, Germany. His research interests include nonlinear control and filtering, stochastic control and filtering, as well as complex networks and neural networks. He has published around 80 papers in refereed international journals.
Title: Delay Feedback Control for Switching Diffusion Systems Based on Discrete Time Observations
Abstract:For the sake of saving time and costs the feedback control based on discrete-time observations is used to stabilize the switching diffusion systems. Response lags are required by most of physical systems and play a key role in the feedback control. The aim of this paper is to design delay feedback control functions based on the discrete-time observations of the system states and the Markovian states in order for the controlled switching diffusion system (SDS) to be exponentially stable in pth moment and probability one as well as stable in H_∞. The designed control principles are implementable to stablize
quasi-linear and highly nonlinear SDSs. For quasi-linear SDSs the criteria are sharp that under the control with high strength the controlled SDSs will be stable (bounded) while under the weaker control they will be unstable (unbounded) in mean square. The sample and moment Lyapunov exponents are estimated which have close relationship with the time delays.
Xiaoyue Li，Professor of Northeast Normal University, PhD supervisor, American Mathematics Reviewer. She is engaged in the study of stability theory of diffusion systems and switching diffusion systems as well as their numerical approximations. She published more than 30 SCI papers with a single citation rate of more than 200 times. Some research results were published in J.Differential Equations、SIAM J.Numer.Anal, SIAM J.Appl.Math, Automatica and so on. Her research are supported by several NSFC projects and others.
Title: Control and analysis of stochastic high-order nonlinear systems
Abstract:Stochastic high-order nonlinear systems is an important class of stochastic systems including stochastic underactuated mechanical system as a special case. Due to the Jacobian linearizations of such systems are neither controllable nor feedback linearizable, with the effect of stochastic noise, the control and analysis is nontrivial. In this talk, we aim to present the results on output-feedback stabilization, output-feedback tracking, and cooperative control of stochastic high-order nonlinear systems. Stochastic homogeneous domination technique and distributed integrator backstepping design method are developed.
Wuquan Li received his Ph.D. degree in College of Information Science and Engineering, Northeastern University, China, in 2011. From 2012 to 2014, he carried out his postdoctoral research with Institute of Systems Science, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, China. From 2018 to 2019, he was a visiting scholar in University of California, San Diego, USA. Since January 2011, he has been with School of Mathematics and Statistics Science, Ludong University, where he is currently a professor.
Dr. Li is Young Taishan Scholar and Shandong Provincial Distinguished Young Scholar. He has received Shandong Province Youth Science and Technology Award. He has presided three National Natural Science Foundations. As the first author, he has published 11 papers on the three top journals: Automatica、IEEE Transactions on Automatic Control、SIAM Journal on Control and Optimization. His research interests include stochastic nonlinear systems control and identification of stochastic nonlinear systems.