力学系与湍流国家重点实验室学术报告5.20_力学楼434_两场报告 (Prof.Naira Hovakimyan and Prof. A.Stephen Morse)
发布时间: 2011-05-17 11:58:00
SEMINAR 
SERIES
SERIES 北京大学工学院 ![]()
力学与空天技术系
湍流与复杂系统国家重点实验室
TITLE 1：Adaptive Control and Its Transition to Practice
报告人 Prof. Naira Hovakimyan
Department of Mechanical Science and Engineering
摘要
The history of adaptive control systems dates back to early 50-s, when the aeronautical community was struggling to advance aircraft speeds to higher Mach numbers. In November of 1967, X-15 launched on what was planned to be a routine research flight to evaluate a boost guidance system, but it went into a spin and eventually broke up at 65,000 feet, killing the pilot Michael Adams. It was later found that the onboard adaptive control system was to be blamed for this incident. Exactly thirty years later, fueled by advances in the theory of nonlinear control, Air Force successfully flight tested the unmanned unstable tailless X-36 aircraft with an onboard adaptive flight control system. This was a landmark achievement that dispelled some of the misgivings that had arisen from the X-15 crash in 1967. Since then, numerous flight tests of Joint Direct Attack Munitions (JDAM) weapon retrofitted with adaptive element have met with great success and have proven the benefits of the adaptation in the presence of component failures and aerodynamic uncertainties. However, the major challenge related to stability/robustness assessment of adaptive systems is still being resolved based on testing the closed-loop system for all possible variations of uncertainties in Monte Carlo simulations, the cost of which increases with the growing complexity of the systems. This talk will give an overview of the limitations inherent to the conventional adaptive controllers and will introduce the audience to the L1 adaptive control theory, the architectures of which have guaranteed robustness in the presence of fast adaptation. Various applications, including flight tests of a subscale commercial jet, will be discussed during the presentation to demonstrate the tools and the concepts. With its key feature of decoupling adaptation from robustness L1 adaptive control theory has facilitated new developments in the areas of event-driven adaptation and networked control systems. A brief overview of initial results and potential directions will conclude the presentation.
简历
Naira Hovakimyan received her Ph.D. in Physics and Mathematics in 1992, in Moscow, from the Institute of Applied Mathematics of Russian Academy of Sciences. Upon her Ph.D. she joined the Institute of Mechanics, Armenian Academy of Sciences, as a research scientist, where she worked till 1997. In 1997 she has been awarded a governmental postdoctoral scholarship to work in INRIA, France. She is the recipient of the SICE International scholarship for the best paper of a young investigator in the VII ISDG Symposium (Japan, 1996). In 1998 she was invited to the School of Aerospace Engineering of Georgia Tech, where she worked as a research faculty member until 2003. In 2003 she joined the Department of Aerospace and Ocean Engineering of Virginia Tech, and in 2008 she moved to University of Illinois at Urbana-Champaign, where she is a professor and Schaller faculty scholar. She is the author of over 200 refereed publications. She is senior member of the IEEE (CSS, NNS), Associate fellow of AIAA, member of AMS, SIAM, ISDG, and is serving as Associate Editor for the IEEE Control Systems Society, IEEE Transactions on Control Systems Technology, Computational Management Science of Springer, Mathematics in Engineering, Science and Aerospace. She is the 2004, 2005 and 2007 recipient of Pride Boeing award, the plenary speaker of 2007 SIAM Conference on Control and Its Applications, 2009 IASTED Conference on Identification and Control Applications, 2010 International Symposium on Systems and Control in Aeronautics and Astronautics, 2010 ICNPAA World Congress. In 2008 she received Dean’s Award for Research Excellence at Virginia Tech. She was named outstanding reviewer for AIAA Journal of Guidance, Control and Dynamics in 2008 and 2009. Her current interests are in the theory of robust adaptive control and estimation with an emphasis on aerospace applications, control in the presence of limited information, networks of autonomous systems and game theory.
主持人：段志生 教授
时 间：5月20日（周五）下午3:50－5: 00
地 点：力学楼434大教室
报告人: Prof. A. Stephen Morse
Yale University
摘要
With the development of many clever and innovative ideas, adaptive feedback control has come a very long way over the past forty years. Despite this, it is fair to say that the methodology as not achieved widespread acceptance in practice or within the broader control research community. Two of the main reasons for this are (1) the methodology is not articulated clearly enough so that non-experts can easily grasp key concepts and (2) there is no convincing performance theory upon which to base designs. In this talk try to address these issues in two ways. First we will consider an example which on the one hand is simple enough to allow for a fairly transparent analysis, while on the other is formidable enough to exemplify how one might deal with two of the most challenging attributes associated with any adaptive control problem, namely noise and un-modeled dynamics. Second we will consider another example, complete with simulations and experimental results, which illustrates how these ideas might be used to address the three landmark station keeping problem in the plane in which range measurements are the only sensed signals upon which station keeping is to be based.
简历
A. Stephen Morse was born in Mt. Vernon, New York. He received a BSEE degree from Cornell University, MS degree from the University of Arizona, and a Ph.D. degree from Purdue University. From 1967 to 1970 he was associated with the Office of Control Theory and Application {OCTA} at the NASA Electronics Research Center in Cambridge, Mass. Since 1970 he has been with Yale University where he is presently the Dudley Professor of Engineering. His main interest is in system theory and he has done research in network synthesis, optimal control, multivariable control, adaptive control, urban transportation, vision-based control, hybrid and nonlinear systems, sensor networks, and coordination and control of large grouping of mobile autonomous agents. He is a Fellow of the IEEE, a Distinguished Lecturer of the IEEE Control System Society, and a co-recipient of the Society's 1993 and 2005 George S. Axelby Outstanding Paper Awards. He has twice received the American Automatic Control Council's Best Paper Award and is a co-recipient of the Automatica Theory/Methodology Prize . He is the 1999 recipient of the IEEE Technical Field Award for Control Systems. He is a member of the National Academy of Engineering and the Connecticut Academy of Science and Engineering.
主持人：姜钟平 教授
时 间：5月20日（周五）下午2:30－3:40
地 点：力学楼434大教室
欢迎广大师生光临！