(11) Distributed Control and Optimiztaion with Applications: Wenwu Yu, Souhteast University, China (Chair)

Junjie Fu, Southeast University, China (Chair)

11.1. Speaker: Prof. Youfeng Su, Fuzhou University, China

Talk Title: Cooperative Output Regulation and its Application in Power Sharing Control of Microgrid

Abstract: In this talk, we present a distributed observer control framework for the cooperative output regulation problem of leader-follower multi-agent systems. With the aid of certainty equivalence principle, it is shown that the cooperative output regulation problem can be solved by a distributed controller composed of a distributed observer of the leader system and a centralized controller of the follower systems. As an application, we further show that the power sharing control problem of a grid-connected AC microgrid can be reformulated and hence solved as the cooperative output regulation problem of an interconnected leader-follower multi-agent system. It is interesting to see that the proposed design is able to handle microgrids where the system parameters of the dispatchable distributed generators are subject to arbitrarily large uncertainties.

Biography: Prof. Youfeng Su received the B.S. degree in 2005 and the M.S. degree in 2008, both from East China Normal University, Shanghai, P. R. China, and the Ph.D. degree in 2012 from The Chinese University of Hong Kong, Hong Kong, P. R. China. From May 2012 to June 2013, he was a Postdoctoral Fellow at The Chinese University of Hong Kong. In July 2013, he joined the College of Mathematics and Computer Science, Fuzhou University, Fuzhou, P. R. China, where he has been a professor since July 2014. His research interests include output regulation, nonlinear control, cooperative control, multi-agent systems, and switched/hybrid systems. Dr. Su received the CUHK Young Scholars Thesis Award from the Chinese University of Hong Kong in 2013. He was selected to the national ``1000-Youth Talent Program'' of China and the ``100 Talent Program'' of Fujian Province both in 2015. He was a recipient of Outstanding Youth Science Fund Award of Fujian Province in 2016. He is a Subject Editor of International Journal of Robust and Nonlinear Control, Associated Editor of Journal of Systems Science and Mathematical Sciences, Member of the Conference Editorial Board of IEEE Control Systems Society.

11.2. Speaker: Prof. Yuzhe Li,  Northeastern University, China

Talk Title: Cyber-Physical Security in Remote State Estimation

Abstract: Cyber-Physical Systems (CPS) have attracted considerable interest from both academic and industrial communities in the past few years. Using wireless sensors for remote state estimation is a key component in CPS, and have advantages such as low cost, easy installation, and self-power. However, due to the inherent open characteristics of wireless communication, and the increasing penetration of CPS to safety-critical infrastructures of the society, cyber-physical security issues arise naturally and are of fundamental importance to ensure the safe operation of CPS. In this talk, our recent results about the cyber-physical security in remote state estimation will be introduced.

Biography: Prof. Yuzhe Li is currenly a Professor in the State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China. He received the B.S. degree in Mechanics from Peking University, China in 2011 and the Ph.D. degree in Electronic and Computer Engineering from the Hong Kong University of Science and Technology (HKUST) in 2015. Between June 2013 and August 2013, he was a visiting scholar in the University of Newcastle, Australia. From September 2015 to September 2017, he was a Postdoctoral Fellow at the Department of Electrical and Computer Engineering, University of Alberta, Canada. His research interests include cyber-physical systems security, sensor power control and networked state estimation. He is a recipient of the National 1000-Talent Recruitment Program (Young Scholars).

11.3. Speaker: Prof. Yang Tang,  East China University, China

Talk Title: Perception and Decision-Making of Autonomous Systems Driven by Artificial Intelligence

Abstract: In recent years, artificial intelligence has been widely applied in the area of intelligent transportation, smart medical care, and smart manufacturing. This report considers the depth estimation, pose estimation, pedestrian recognition and optimization in the perception and decision-making of autonomous systems, and introduces the relevant developments and results in the above areas related to artificial intelligence.

Biography: Prof. Yang Tang received the B.S. and Ph.D. degrees in electrical engineering from Donghua University, Shanghai, China, in 2006 and 2010, respectively. From 2008 to 2010, he was a Research Associate with The Hong Kong Polytechnic University, Hong Kong. From 2011 to 2015, he was a Post-Doctoral Researcher with the Humboldt University of Berlin, Berlin, Germany, and with the Potsdam Institute for Climate Impact Research, Potsdam, Germany. Since 2015, he has been a Professor with the East China University of Science and Technology, Shanghai. His current research interests include distributed estimation/control/optimization, cyber-physical systems, hybrid dynamical systems, and artificial intelligence and their applications. Prof. Tang was a recipient of the Alexander von Humboldt Fellowship and the ISI Highly Cited Researchers Award by Clarivate Analytics in 2017 and 2018. He is a Senior Board Member of Scientific reports, an Associate Editor of the Journal of the Franklin Institute, Neurocomputing, and a Leading Guest Editor of the Journal of the Franklin Institute and CHAOS.

11.4. Speaker: Prof. Ziyang Meng,  Tsinghua University, China

Talk Title: Vision-based localization, tracking and coordinated optimal control of unmanned systems

Abstract: This talk starts from a brief introduction on the research background of coupled systems, and then delivers several recent research results. In particular, a visual-inertial odometer system is given with time-stamp synchronization, visual target tracking algorithm is proposed for a nano-scale drone, distributed coordinatedoptimal control method is studied for a group of dynamic systems, and set aggregation control are presented for multiple unmanned systems.

Biography: Prof. Ziyang Meng received his B.S. degree with honors from Huazhong University of Science & Technology, Wuhan, China, in 2006, and Ph.D. degree from Tsinghua University, Beijing, China, in 2010. He was an exchange Ph.D. student at Utah State University, Logan, USA from Sept. 2008 to Sept. 2009. From 2010 to 2015, he held postdoc, researcher, and Humboldt research fellow positions at, respectively, Shanghai Jiao Tong University, Shanghai, China, KTH Royal Institute of Technology, Stockholm, Sweden, and Technical University of Munich, Munich, Germany. He joined Department of Precision Instrument, Tsinghua University, China as an associate professor since Sept. 2015. He was selected to the national “1000-Youth Talent Program” of China in 2015. His research interests include distributed control and optimization, spacecraft systems, and intelligent navigation technique. He serves as an associate editor of Systems & Control Letters.

11.5. Speaker: Prof. Junfeng Wu, Zhejiang University, China

Talk Title: Multi-hop Sensor Network Scheduling for Remote Estimation

Abstract: In this talk, we consider a design problem of how a group of wireless sensors are selected and scheduled to transmit data efficiently over a multi-hop network subject to energy considerations, when the sensors are observing multiple independent discrete-time linear systems. Each time a set of sensors are selected to transmit their measurements towards a remote estimator. We formulate an optimization problem, minimizing a linear combination of the averaged estimation error and the averaged transmission energy consumption to obtain suitable network scheduling and estimation algorithms. Necessary conditions for network control optimality are derived so that the problem can be

Biography: Prof. Junfeng Wu received the B.Eng. degree from the Department of Automatic Control, Zhejiang University, Hangzhou, China, and the Ph.D. degree in electrical and
computer engineering from Hong Kong University of Science and Technology,
Hong Kong, in 2009, and 2013, respectively. From September to December 2013, he was
a Research Associate in the Department of Electronic and Computer Engineering,
Hong Kong University of Science and Technology. From January 2014 to June 2017,
he was a Postdoctoral Researcher in the ACCESS (Autonomic Complex Communication nEtworks, Signals and Systems) Linnaeus Center, School of Electrical Engineering, KTH Royal Institute of Technology, Stockholm, Sweden. He is currently with the
College of Control Science and Engineering, Zhejiang University, Hangzhou, China.
His research interests include networked control systems, state estimation, and wireless sensor networks, multiagent systems. Dr. Wu received the Guan Zhao-Zhi
Best Paper Award at the 34th Chinese Control Conference in 2015.

11.6. Speaker: Prof. Nian Liu,  North China Electrical Power University, China

Talk Title: Optimal Operation of Power Distribution and Consumption System: Cyber-Physical-Social System Perspective

Abstract: Ubiquitous Internet of things (IoT) and Power Distribution and Consumption System (PDCS) are deeply integrated to form a Cyber-Physical-Social System (CPSS). In this presentation, the optimal operation of the IoT-based PDCS is presented from the perspective of CPSS. First, the participants of PDCS is analyzed, including their attributes of the cyber field, physical filed, and social field. The relationships and mutual interactions of these participants are also studied. Second, the operation features of IoT-based PDCS are abstracted in the CPSS perspective.In physical filed, the features include the flexibility of nodes, network, and functions. In cyber filed, the uncertainty of ubiquitous sensing, edge computing, and cybersecurity are essential features. Moreover, new features in the social field include role variability and utility personalization of participants, and diversification of business models. Besides, based on the analysis of the existing studies, five prospective problems are proposed, including feature identification of complex power system, stochastic game theory framework and application with incomplete information, modeling and solving optimization problem with fusion social attributes, scheduling strategy and driving mechanism for edge computing, interactive security mechanism for the IoT-based PDCS, etc. Through the analysis and discussion, we provide analysis and discussion on the multidisciplinary intersection of information, physics and social systems at the theoretical level, and technical support for the construction of ubiquitous power IoT and smart grid at the application level.

Biography: Prof. Nian Liu is a Professor with School of Electrical and Electronic Engineering at North China Electric Power University. He is a member of State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources and a member of Standardization Committee of Power Supply and Consumption in Power Industry of China. He was a Visiting Research Fellow at RMIT University, Melbourne, Australia. Dr. Liu has authored or co-authored more than 160 journal and conference publications and has been granted for more than 10 patents of China. He is an Editor of IEEE Transactions on Smart Grid, IEEE Transactions on Sustainable Energy, IEEE Power Engineering Letters, and Journal of Modern Power Systems and Clean Energy (MPCE). His major research interests include multi-energy system integration, microgrids, renewable energy integration and cyber-physical system.