Title: Security in Cyber-Physical Systems: A Control Systems Perspective

演讲人:Prof. Petros Voulgaris, UIUC, Fellow of IEEE

  • 浙江大学玉泉校区工控新楼105教室
  • 时间:2018年10月26日(星期五)下午3点

Abstract:

Cyber-physical systems (CPS) have become ubiquitous in engineering and have extended the range of aerospace applications to several new domains. Unmanned Arial Vehicles (UAV) are typical examples of CPS that can execute cooperative missions of increasing complexity without constant supervision of human operators e.g., military reconnaissance and strike operations, border patrol missions, forest fire detection, police surveillance, and recovery operations to name a few. Similarly, current and future space applications such as satellite swarms and distributed spacecraft systems, autonomous and aerospace robotic systems, depend critically on the synergy of cyberspace with the physical components.

Pertinent to CPS is the notion of security, which is of paramount importance in aerospace, power, transportation, manufacturing, etc. The concept of security to malicious attacks brings an important new dimension in the design CPS.  In this talk, we present some aspects of this problem related to control system security to attacks and provide some ways to enhance detection and awareness. More specifically, we elaborate on this issue from the control analysis, design and actual implementation point of view. We consider malicious attacks on actuators and sensors of a feedback system which can be modelled as additive, possibly unbounded, disturbances at the digital (cyber) part of the feedback loop. It is shown that the standard sampled data implementation can create additional vulnerabilities to stealthy attacks, and therefore, when security is at stake, it is of paramount importance to have methods to eliminate these vulnerabilities. By devising a multi-rate scheme we can guarantee that stealthy attacks are not possible.  Further, we can provide precise trade-offs on performance and safety cost. Finally, we touch upon other type of attacks and their connections to switching systems and linear programming.

Short Bio:

Professor Petros G. Voulgaris received the Diploma in Mechanical Engineering from the National Technical University, Athens, Greece, in 1986, and the S.M. and Ph.D. degrees in Aeronautics and Astronautics from the Massachusetts Institute of Technology in 1988 and 1991, respectively.  Since 1991, he has been with the Department of Aerospace Engineering, University of Illinois where he is currently a Professor (also appointments with the Coordinated Science Laboratory, and the department of Electrical and Computer Engineering.)  His research interests include optimal, robust and distributed control and estimation; networked control; applications of advanced control methods to engineering practice including, power systems, air-vehicle, nano-scale, robotic, and structural control systems.  Dr. Voulgaris is a recipient of several awards including the NSF Research Initiation Award, the ONR Young Investigator Award and the UIUC Xerox Award for research.  He has also been a Visiting ADGAS Chair Professor, Mechanical Engineering, Petroleum Institute, Abu Dhabi, UAE (2008-10).  His research has been supported by several agencies including NSF, ONR, AFOSR, NASA, and Boeing totalling more than $12 million of funded projects.  He is also a Fellow of IEEE.

From MIPS to Vicsek: A comprehensive phase diagram for self-propelled rods
Xiaqing Shi – Center for soft condensed matter physics and interdisciplinary research, Soochow University

2017年12月22日,下午1点,工控新楼211
Self-propelled rods interacting by volume exclusion is one of the simplest active matter systems. Despite years of effort, no comprehensive picture of their phase diagram is available. Furthermore, results on explicit rods are so far largely disconnected from those obtained on the relatively better understood cases of motility induced phase separation (MIPS) of (usually) isotropic active particles, and from our current knowledge of Vicsek-style aligning point particles. In this talk, I will present a complete phase diagram of a generic model of self-propelled rods and show how it is connected to both MIPS and Vicsek worlds.

施夏清副教授长期从事活性物质/自驱动体系的理论研究。目前,关于细胞集体动力学、细胞骨架自组织及活性粒子拓扑缺陷动力学等研究工作已发表在《Nature》、《PNAS》、《Nature Communication》等高水平学术期刊,相关工作长期以来得到了国家自然科学基金以及苏州大学软凝聚态物理及交叉研究中心平台的大力支持。

普渡大学Steven T. Wereley教授的PIV短期课程

资料和参考教材:
Particle Image VelocimetryA Practical Guide
Authors: Raffel, M., Willert, C.E., Wereley, S., Kompenhans, J.
http://www.springer.com/gp/book/9783540723073?cm_mmc=sgw-_-ps-_-book-_-978-3-540-72307-3

时间:下午4点 – 6点,Nov. 9, 10, 13 and 14.
地点:TBA
联系人:许超

Thu – Lecture 1 (two hours)

  1. Introduction
  2. Tracer particles, illumination
  3. Particle imaging

Fri – Lecture 2 (two hours) Fri

  1. Statistics of PIV
  2. Recording techniques

Mon – Lecture 3 (two hours)

  1. Eval Techniques I, corr, peak fitting
  2. Eval Techniques II, corr tracking, padding
  3. Eval Techniques III, corr avg, CDIC

Tue – Lecture 4 (two hours)

  1. Image processing, particle ident, part tracking
  2. Data validation, correction, statistics
  3. Resolution, uncertainty
  4. Advanced Topics, stereo, holo, temp

Bio:

Professor Wereley completed his masters and doctoral research at Northwestern University. He joined the Purdue University faculty in August of 1999 after a two-year postdoctoral appointment at the University of California Santa Barbara. During his time at UCSB he worked with a group developing, patenting, and licensing to TSI, Inc., the micro-Particle Image Velocimetry technique. His current research interests include opto/electrokinetics, investigating microscopic biological flows, harnessing diffusion for sensing applications, and developing new ways of measuring flows at the smallest length scales. Professor Wereley is the co-author of Fundamentals and Applications of Microfluidics (Artech House, 2002 and 2006) and Particle Image Velocimetry: A Practical Guide (Springer, 2007). He is on the editorial board of Experiments in Fluids and is an Associate Editor of Springer’s Microfluidics and Nanofluidics. Professor Wereley has edited Springer’s recent Encyclopedia of Microfluidics and Nanofluidics and Kluwer’s BioMEMS and Biomedical Nanotechnology.

Steve Wereley, Professor of Mechanical Engineering
Purdue University

时间:4 p.m., Nov. 6, 2017(周一)
地点:TBA
联系人:许超,cxu@zju.edu.cn

Abstract:
Fluid flow in the micro and nanoscale world of Lab-on-Chip devices can behave very unusually.  It is essential to have precise experimental tools to see what is happening at these very small length scales. Unfortunately these small length scales also prove challenging for experimental tools. This seminar will explore the tools available for viewing (microscale flow visualization) and measuring (micro-PIV) such small flows.  Numerous examples will be presented in which microscale flows are visualized and measured.  These examples range from flows in Lab-on-Chip devices, in and around mechanical devices, and around biological organisms. In many situations 2D planar measurements are sufficient but in some situations, 3D measurements are required. Several ways of measuring flows in 3D will be discussed.  Furthermore, beyond the fluid’s velocity field, other flow quantities of interest are often needed, such as temperature and pressure.  Methods for imaging or measuring these important scalar fields will also be discussed.

Bio:

Professor Wereley completed his masters and doctoral research at Northwestern University. He joined the Purdue University faculty in August of 1999 after a two-year postdoctoral appointment at the University of California Santa Barbara. During his time at UCSB he worked with a group developing, patenting, and licensing to TSI, Inc., the micro-Particle Image Velocimetry technique. His current research interests include opto/electrokinetics, investigating microscopic biological flows, harnessing diffusion for sensing applications, and developing new ways of measuring flows at the smallest length scales. Professor Wereley is the co-author of Fundamentals and Applications of Microfluidics (Artech House, 2002 and 2006) and Particle Image Velocimetry: A Practical Guide (Springer, 2007). He is on the editorial board of Experiments in Fluids and is an Associate Editor of Springer’s Microfluidics and Nanofluidics. Professor Wereley has edited Springer’s recent Encyclopedia of Microfluidics and Nanofluidics and Kluwer’s BioMEMS and Biomedical Nanotechnology.

Multi-model Predictive Control: Controller formulation and Application to Medical Oxygen Concentrators

Speaker: Mayuresh V. Kothare, PhD, R. L. McCann Professor, Chairman | Department of Chemical and Biomolecular Engineering, Lehigh University

Lecture room: CSC-304 浙江大学玉泉校区智能系统与控制研究所(CSC)304教室

Time: 14:00, June 12 (Monday), 2017

Abstract:

A Multi-Model Predictive Control (M-MPC) algorithm is developed for a novel Rapid Pressure Swing Adsorption (RSPSA) oxygen concentrator system. The RPSA uses a zeolite material to purify oxygen from ambient feed air, and is designed to produce 90% oxygen for medicinal therapies. In previous work, a standard linear MPC algorithm was implemented on the RPSA which rejects disturbances and improves set point tracking in the 90% operating range, but a RPSA can produce a wide range of oxygen purities. The single linear model MPC algorithm is unable to  provide the ability to transition the purity between vastly different values. The M-MPC algorithm uses a collection of linear models each of which corresponds to a different oxygen purity range. The linear models are identified around different operating points, and use Pseudo-Random Binary Signal (PRBS) simulation data in the identification process. With this improved control algorithm, the RPSA can produce a range of oxygen purities, and reject typical RPSA process disturbances. M-MPC switching rules, operating region boundary considerations and set point tracking cases are presented and discussed. General concepts on M-MPC will be presented and ideas on stability analysis will be discussed.

Biosketch:

Dr. M. V. Kothare is currently the Chairman of the Department of Chemical and Biomolecular Engineering and R. L. McCann Professor at Lehigh University. He holds an appointment in Bioengineering at Lehigh University and is a Visiting Professor of Biomedical Engineering at Johns Hopkins School of Medicine. He received his B.Tech. in Chemical Engineering from the Indian Institute of Technology (IIT), Bombay in 1991 and MS/PhD degrees in Chemical Engineering from the California Institute of  Technology in 1995 and 1997. He has held a postdoctoral position at Mobil Oil Corporation and various visiting positions at City College New York, Purdue University, ETH Zurich and East China U. of Science and Technology (ECUST). His interdisciplinary areas of interest span the problems of constrained and optimal predictive control theory, robustness analysis, MEMS and microchemical systems, control of microsystems, embedded control of biomedical systems, neuroengineering and closed-loop neuroprosthetic systems. Kothare is recipient of the Institute Silver Medal from IIT Bombay for ranking first in Chemical Engineering, the Ted Peterson Student Paper Award (2000) and the Outstanding Young Researcher Award (2007) (under 40 years) from the Computing and Systems Technology division of the AIChE for his contributions to the literature of computing in engineering. He has received the US National Science Foundation CAREER award (2002), the Robinson award and Rossin and Hook Professorships at Lehigh University. He was a selected attendee (one of 82 engineers, ages 30-45) at the 2008 Frontiers of Engineering symposium of the US National Academy of Engineering. His interdisciplinary service activities have involved associate editor appointments with AUTOMATICA and the IEEE Transactions on Automatic Control, as well as guest editorial appointments for Journal of Process Control and the IFAC sponsored conference DYCOPS in 2010. In 2011, he was appointed Deputy Editor-in-Chief of IFAC PapersOnLine, an on-line archive of all peer-reviewed conference proceedings sponsored by the International Federation of Automatic Control (IFAC). In 2012, Kothare served as Chair of the CAST division of the AIChE. In 2012, he was elected Fellow of IEEE.

What Machine Learning can do for Science and Engineering?

2 pm, Tuesday, May 23, 2017; Room 304, Institute for Cyber-systems & Control, Zhejiang University(浙江大学玉泉校区智能系统与控制研究所304教室,联系人:许超,13706711953)

Speaker: Guang Lin(林光), PhD

Associate Professor, Department of Mathematics & School of Mechanical Engineering Purdue University

Web: https://www.math.purdue.edu/~lin491/

Machine learning has attracted a lot attention recently. In this talk, I will use several case studies to demonstrate what machine learning can do for Science and Engineering.

It is observed that birds, bats, insects, and fish can routinely harness unsteady fluid phenomena to improve their propulsive efficiency, maximize thrust and lift, and increase maneuverability. In this talk, I will demonstrate how to use machine learning strategy to characterize the time-varying fluid flows with very limited sensor information in modern engineering, for instance, biological propulsion and bio-inspired engineering design.

In addition, I will also present how to use machine learning techniques to employ very limited satellite data or sensor information to improve the climate model predictive capability or identify the contaminant source locations. Particularly, an adaptive importance sampling technique will be introduced to utilize machine learning method to capture multimodal distribution using a mixture of Gaussian distribution.

Ebola disease has been taking thousands of people’s life. It is critical to develop effective strategy to prevent Ebola’s outbreak. I will present how we can use machine learning techniques to develop more accurate Ebola model using limited data. In addition, we employ this accurate Ebola model to develop and test several different strategies to studies its effectiveness in preventing Ebola’s outbreak.

—————–

Guang Lin got his bachelor in Zhejiang university in 1997 and PhD from division of applied mathematics at Brown university in 2007. Now he is an associate professor in both department of mathematics and school of mechanical engineering at Purdue University.
Guang Lin received NSF faculty early career development award in recognition of his work on uncertainty quantification and big data analysis in smart grid and other complex interconnected systems. Guang Lin has developed advanced optimization algorithms to calibrate complex global and regional climate models. For this work, he received a Ronald L. Brodzinski Award for Early Career Exception Achievement in 2012. Guang Lin also received 2010ASCR Leadership Computing Challenge (ALCC) award in recognition of his work in analyzing big climate data using extreme-scale supercomputers. Guang Lin has also received Outstanding Performance Award at Pacific Northwest National Laboratory in 2010, and Ostrach Fellowship at Brown University in Fall 2005.

题目: 射频脉冲的优化控制方法及其在核磁共振中的应用 (The Radio-Frequency Pulse Optimization Methods: Fundamentals and Applications in Magnetic Resonance)

智能系统与控制研究所223教室,2017年3月29日上午10点

摘要: 射频脉冲可实现自旋体系的精确操控,在核磁共振信号探测中起到关键作用,因此脉冲设计一直是核磁共振领域最活跃的研究前沿之一。报告将从磁共振射频脉冲的基本操控原理及其数学模型出发,介绍基于自旋动力学和优化控制理论的最优脉冲设计方法,通过实例展示优化脉冲在相关领域的应用前景,包括高性能的磁共振动力学模拟平台开发、不依赖于造影剂的对比度增强成像序列、用于伪纯态制备的协作脉冲序列和新型代谢物浓度定量脉冲序列等。

报告人简介: 杨晓冬,男,博士学位。中科院苏州医工所研究员,医学影像技术研究室主任,中科院百人计划获得者,江苏省 “333高层次人才培养工程”中青年科技带头人,江苏省 “高层次创新创业人才”。2005年至2011年,曾先后赴澳大利亚怀特医学国家研究中心和德国慕尼黑工业大学任访问学者和客座研究员。主要从事医学影像技术和系统研发,相关成果在Biochimie, PLOS one, App. Mag. Res.等国际知名SCI/EI学术期刊上发表40余篇论文,引用500余次,拥有专利和软件著作权15项,担任J. Mag. Reson.,Mag. Reson. Imaging等知名国际学术期刊审稿人、国家自然科学基金委评审委员、科技部评审专家。主持和参加了各类应用研究和工程化研究项目21项,完成企业委托项目4项。承担10余项国家级和省部级以上科研项目。培养研究生4名,在培硕士/博士研究生6名。

  • 14:05 PM, March 29, Lecture 1. Optimal Control in Real-world Practical Applications
  • 15:05 PM, March 29, Lecture 2. Optimal Control Problems with Stopping Constraints
  • Classroom 108: Teaching Building – 7, Yuquan Campus, Zhejiang University
  • 浙江大学玉泉校区教七教学楼-108教室,3月29日周三时间下午2:05

Speaker: Kok Lay Teo, John Curtin Distinguished Professor, Curtin University

Professor Kok Lay Teo received his Ph.D. degree in Electrical Engineering from the University of Ottawa in Canada. Professor Teo was affiliated with University of New South Wales, Australia, National University of Singapore and University of Western Australia. In 1996, He joined the Department of Mathematics and Statistics, Curtin University, Australia, as Professor of Applied Mathematics. He took up the position of Chair Professor of Applied Mathematics and Head of Department of Applied Mathematics at the Hong Kong Polytechnic University, China, from 1999 to 2004. He returned to Australia in 2005 as Professor of Applied Mathematics and Head of Department of Mathematics and Statistics at Curtin University until 2010. Professor Teo has been a John Curtin Distinguished Professor, the highest rank professor at Curtin University, since the beginning of 2011. Professor Teoserved as a member of the Australian Research Council’s Mathematical, Information and Computing Sciences Panel for the 2010 and 2015 Excellence in Research for Australia (ERA) Exercise. He was a Lecturer of the 2010-2011 Texas A&M University at Qatar Distinguished lecture Series, and the winner of the prestigious 2013 John de Laeter Research Leadership Award, Curtin University. Professor Teo is Editor-in-Chief of Journal of Industrial and Management Optimization (JIMO); Cogent Mathematics; and Numerical Algebra, Control and Optimization (NACO). He also serves as an Associate Editor of 12 international journals which include Automatica, Journal of Global Optimization (JOGO), Journal of Optimization Theory and Applications (JOTA), Discrete and Continuous Dynamical Systems (DCDS), Applied Mathematical Modelling, and Optimization Letters (OPTL).

In the last 5 years, Professor Teo has published over 100 refereed journal articles, many in leading international journals such as Automatica, Journal of Global Optimization, Journal of Optimization Theory and Applications, European Journal of Operational Research, and various IEEE journals.

Professor Teo was a Founding Member and member of the working committee of Pacific Optimization Research Activity Group (POP). Pacific optimization Research Activity Group (POP) is an important research organization with over 500 members from 50 different countries and regions. It has an electronic newsletter “Optimization Research Bridge” (ORB), three conference series (International Conference on Optimization: Techniques and Applications; Pacific Optimization Conferences; and International Conference on Optimization and Control with Applications), and two journals (“Pacific Journal of Optimization”, and “Journal of Industrial and Management Optimization” ). Professor Teo has served as the Chair of POP since 2015.

His research interests are optimal control and optimization and their real world applications, such as optimal filter design in signal processing and financial mathematics.

Speaker: Florent Di Meglio, Centre Automatique et Systèmes, MINES ParisTech, PSL Research University, France

Time: 24, March, 2017 (Tuesday) Morning at 10:00

Room 223, Institute of Cyber-Systems and Control, Zhejiang University

Abstract: Oil well drilling involves many distributed parameter control problems, from the hydraulic transport of oil & gas to the propagation of mechanical vibrations. These require developing tools to analyze stability, boundary estimation and boundary stabilization for the underlying dynamics, which are governed by hyperbolic Partial Differential Equations. In this talk, I will give an overview of the state-of-the-art results in control theory for such systems and discuss their applicability to the industrial challenges mentioned above.

Web: http://cas.ensmp.fr/~dimeglio/

Estimation & Control for Battery Management & Ocean Observing

方华臻博士,美国堪萨斯大学机械工程学系助理教授

  • 时间:2016年11月25日上午10:30
  • 地点:浙大玉泉校区教十八223(智能系统与控制研究所)
  • 联系人:许超,13706711953(手机),53295319(微信)

Abstract

Energy and environment are fundamental challenges facing the human society nowadays. High hopes have been given to a bright future enabled by advanced energy management and environmental monitoring technologies. Recent studies have demonstrated the promise of control theory as a theoretical basis and thinking tool for tackling challenges in the two areas.

In this talk, I will present my research on battery management and ocean observation. The two seemingly distinct problems are inherently related: their solutions share a common foundation in optimal estimation theory. Battery-based energy storage is a major building block of renewable energy facilities and electric vehicles. Maximizing batteries’ operational safety, performance and lifetime largely depends on real-time state-of-charge estimation. For this problem, I will present solution strategies based on adaptive and multi-model estimation. Not only will they reduce the complexity of battery management, but also improve estimation accuracy in the presence of complicated battery dynamics. I will then describe my work on ocean flow field reconstruction via analysis of observation data collected from drifters. The considered problem boils down to nonlinear simultaneous input and state estimation, which will be explored and addressed. This work can help oceanographers understand flows and their impact on transportation of nutrients, motion of biological species, and diffusion of contaminants. In addition, it possesses significant implications for the design of renewable (wind, solar, etc.) energy observation and prediction systems. Such systems play an important role in efficient renewable energy harvesting.

Bio of the Speaker

Huazhen Fang is an Assistant Professor of Mechanical Engineering at the University of Kansas. He received his Ph.D. degree in Mechanical Engineering from the Department of Mechanical & Aerospace Engineering at the University of California, San Diego. Prior to that, he received M.Sc. in Mechanical Engineering from the University of Saskatchewan, Canada (2009), and B.Eng. in Computer Science & Technology from Northwestern Polytechnic University, China (2006). He worked as a Research Intern at Mitsubishi Electric Research Laboratories and NEC Laboratories America, respectively, in 2012 and 2013. His research interests focus on dynamic systems and control with application to energy management, environmental observation and mechatronics. He was selected as a Gordon Engineering Leadership Scholar (2010).