The technical program is available at here.
Abstract: Optimal control is one of the fundamental problems in control theory. The control derived from it minimizes a cost function which is determined by a designer in terms of performance and economic perspectives in the control system. The history of optimal control dates back to the birth of modern control theory, but, the solution is available mostly for linear systems. In this talk, an effort to overcome the difficulties when one tries to apply the optimal control theory for nonlinear systems is introduced. It makes use of the theory of invariant manifold and can be applied to a variety of nonlinear systems that even contain constraints on input and state. The talk will start with the theory of the stable manifold method and, after introducing computational method, present quite a few applications ranging from mechatronics to aerospace engineering.
Biography: Noboru Sakamoto received the B.Sc. degree in mathematics from Hokkaido University and M.Sc. and Ph.D. degrees in aerospace engineering from Nagoya University, in 1991, 1993, and 1996, respectively. From 1996 until 2015, he held positions in the Graduate School of Engineering in Nagoya University. Currently, he is a Professor with the Science and Engineering of Nanzan University in Nagoya, Japan. He has held a visiting research position at University of Groningen, The Netherlands, in 2005 and 2006. He received the SICE Best Paper Prizes in 1997, 2006, 2008 and 2011. His research interests include nonlinear control theory, control of chaotic systems, dynamical system theory and control applications for aerospace engineering.
Abstract: In heterogenous multi-agent systems, asymptotic consensus is not possible due to lack of common internal model. Instead, high coupling gains yield approximate consensus, or so-called practical consensus. Then, we ask what the extreme trajectories of the agents look like as the gains tend to infinity. We claim that the extreme trajectory is the solution to an averaged dynamics (or, we call it as blended dynamics). The extreme behavior is an emergent one. This observation finds a few applications such as distributed Kalman filtering, estimation of the number of agents in the network, power distribution of a smart-grid, and private computation over the network.
Biography: Hyungbo Shim received the B.S., M.S., and Ph.D. degrees from Seoul National University, Korea, and held the post-doc position at University of California, Santa Barbara till 2001. He joined Hanyang University, Seoul, Korea, in 2002. Since 2003, he has been with Seoul National University, Korea. He served as associate editor for Automatica, IEEE Trans. on Automatic Control, Int. Journal of Robust and Nonlinear Control, and European Journal of Control, and as editor for Int. Journal of Control, Automation, and Systems. He was the Program Chair of ICCAS 2014 and Vice-program Chair of IFAC World Congress 2008. He was a guest professor at Keio University, Japan, in 2016, and is now the director of Engineering Research Center for Advanced Control & Instrumentation, Korea. He received Young Researcher Award and Scientific Award from ICROS in 2009 and 2012, respectively. His research interest includes stability analysis of nonlinear systems, observer design, disturbance observer technique, secure control systems, and synchronization.
Abstract: Due to ever-increasing loads, limited physical capacity, and fast-growing levels of interconnectedness and complexity driven by the recent technological advancements, resilience has become a central aspect in the design of contemporary infrastructure networks, such as energy and transport systems. The problem has motivated a considerable amount of research within the last few years, particularly focused on the dynamical aspects of network flows, complementing more classical static network flow optimization approaches. This talk focuses on distributed control of dynamical network flows, governed by routing and flow control policies within constraints imposed by the network structure and physics laws. Depending on the application (e.g., road transport or distribution networks), such policies are meant to represent local routing and scheduling controls, users' behavior, or a combination of the two. The considered models include cascading failures mechanisms, whereby overloaded links become inactive and potentially induce the overload and failure of other nodes and links in the network. First, we focus on throughput and resilience properties of decentralized feedback policies that use local information only and require no global knowledge of the network. Then, we discuss cases in which optimal network flow control can be cast as a convex problem which is amenable to iterative distributed computation solutions. Finally, we deal with multi-scale flow dynamics and the use of incentive mechanisms to influence users' behaviors. Throughout, we illustrate how structural properties of the dynamics, such as monotonicity, contraction, and convexity, can be leveraged to obtain tractable models whose performance can be related to connectivity and other network-theoretic properties.
Biography: Giacomo Como is an Associate Professor at the Lagrange Department of Mathematical Sciences, Politecnico di Torino, Italy, and at the Automatic ControlDepartment of Lund University, Sweden. He received the B.Sc., M.S., and Ph.D. degrees in Applied Mathematics from Politecnico di Torino, Italy, in 2002, 2004, and 2008, respectively. In 2006-2007, he was a Visiting Assistant in Research at the Department ofElectrical Engineering, Yale University. From 2008 to 2011, he was a Postdoctoral Associate at the Laboratory for Information and Decision Systems, Massachusetts Institute of Technology. He is an Associate Editor of the IEEE Transactions of Control on Network Systems and of the IEEE Transactions on Network Science and Engineering. He is a board member of the Lund Centre for Control of Complex Engineering Systems and served as the chair of the 5th IFAC Workshop on Distributed Estimation and Control in Network Systems (NecSys'15). He was a semiplenary speaker at the 22nd International Symposium on the Mathematical Theory of Networks and Systems (MTNS'16) and is the recipient of the 2015 George S. Axelby Outstanding Paper award for the 2013 IEEE-TAC paper "Robust Distributed Routing in Dynamical Networks-Part II: Strong Resilience, Equilibrium Selection and Cascaded Failures" co-authored with K. Savla, D. Acemoglu, M.A. Dahleh, and E. Frazzoli.
The ISCS welcome reception will be held from 16:30 through 18:15, Monday March 6, 2017 at Room G. We are delighted to offer all participants and accompanying persons the reception. Appetizers and beverages will be served. In the reception, a panel session is organized. The theme of the panel session is "Present and Future Trends in Nonlinear Control Systems". We are honored to welcome Professor Hiroshi Ito (Kyushu Institute of Technology), Assistant Professor Masaki Inoue (Keio University), and Dr. Daisuke Akasaka (The Mathworks GK) as panelists and share their visions, experiences, and tools in nonlinear control. We look forward to welcoming you all to the reception.
The banquet will be held from 19:00 through 21:00, Wednesday March 8, 2017, at ANA Crowne Plaza Okayama, which is directly linked to West Exit of Okayama Station. You can also find more detail information at here for access to the banquet venue.