Prof. Ramesh K. Agarwal
Washington University in St. Louis, USA
Speech title: Prediction, Minimization and Propagation of Sonic Boom from Supersonic Bodies
Abstract: This presentation will first describe the numerical simulation and shape optimization of the Lockheed SEEB-ALR and 69 degree Delta wing-body for computing the sonic boom signature in the nearfield and its minimization using a genetic algorithm. Then the propagation of sonic boom in the atmosphere all the way to the ground for both the original and optimized body shapes will be discussed. For flow field calculation, the commercial CFD flow solver ANSYS Fluent is employed. The near field pressure disturbance is used to determine the strength of the sonic boom signature. The computational results for the two cases are compared with the experimental data. The body shapes are then optimized using a single-objective genetic algorithm. The results show a significant decrease in strength of the sonic boom. The pressure data from these two models is then scaled and propagated through the atmosphere using the NASA Langley Research Center code sBOOM to predict the far field signature of these bodies at the scale of a commercial supersonic aircraft. These validated building blocks of CFD technology for prediction, minimization and propagation of sonic boom can then be employed to optimize the NASA/Lockheed supersonic transport aircraft X-59QueSST which has been demonstrated to have sonic boom signature on ground as a gentle thump while flying at 954mph (Mach~1.25) at 55,000 ft. above land.
Bio.: Professor Ramesh K. Agarwal is the William Palm Professor of Engineering in the department of Mechanical Engineering and Materials Science at Washington University in St. Louis. From 1994 to 2001, he was the Sam Bloomfield Distinguished Professor and Executive Director of the National Institute for Aviation Research at Wichita State University in Kansas. From 1978 to 1994, he was the Program Director and McDonnell Douglas Fellow at McDonnell Douglas Research Laboratories in St. Louis. Dr. Agarwal received Ph.D in Aeronautical Sciences from Stanford University in 1975, M.S. in Aeronautical Engineering from the University of Minnesota in 1969 and B.S. in Mechanical Engineering from Indian Institute of Technology, Kharagpur, India in 1968. Over a period of forty-five years, Professor Agarwal has worked in various areas of Computational Science and Engineering - Computational Fluid Dynamics, Computational Materials Science, Computational Acoustics and Electromagnetics, Control and Systems Theory, and Multidisciplinary Design and Optimization. He is the author and co-author of over 600 journal and refereed conference publications. He has given many plenary, keynote and invited lectures at various national and international conferences worldwide in over fifty countries. Professor Agarwal continues to serve on many academic, government, and industrial advisory committees. Dr. Agarwal is a Fellow twenty-two societies including the Institute of Electrical and Electronics Engineers (IEEE), American Association for Advancement of Science (AAAS), American Institute of Aeronautics and Astronautics (AIAA), American Physical Society (APS), American Society of Mechanical Engineers (ASME), Royal Aeronautical Society, Chinese Society of Aeronautics and Astronautics (CSAA), and American Society for Engineering Education (ASEE). He has received many prestigious honors and national/international awards from various professional societies and organizations for his research contributions including the AIAA Reeds Aeronautics Award, SAE Medal of Honor, ASME Honorary Membership and Honorary Fellowship from Royal Aeronautical Society.
Prof. Leonid Fridman
Departamento de Ingeniería de Control y Robótica
Facultad de Ingeniería
Universidad Nacional Autónoma de México
Speech title: SLIDING MODE CONTROLLERS: STAGES OF EVOLUTION
The logic of evolution of sliding mode control is presented.
1.Two main approaches to the first order sliding mode design are revisited.
2.The second order discontinuous sliding mode control algorithms and their specific features are discussed.
3.Super-twisting Algorithm as a first continuous sliding mode controller is presented
4.The idea of homogeneity-based design of arbitrary order sliding mode controllers is explained.
5.The advantages of continuous arbitrary order sliding mode controllers are demonstrated.
Videos with the experimental illustration of the properties of the main sliding mode algorithms will be presented.
Bio.: Leonid M. Fridman received an M.S. degree in mathematics from Kuibyshev (Samara) State University, Samara, Russia, in 1976, a Ph.D. degree in applied mathematics from the Institute of Control Science, Moscow, Russia, in 1988, and a Dr. Sc. degree in control science from Moscow State University of Mathematics and Electronics, Moscow, Russia, in 1998. From 1976 to 1999, he was with the Department of Mathematics, Samara State Architecture & Civil Engineering University. From 2000 to 2002, he was with the Department of Postgraduate Study and Investigations at the Chihuahua Institute of Technology, Chihuahua, Mexico. In 2002, he joined the Department of Control Engineering and Robotics, Division of Electrical Engineering of Engineering Faculty at National Autonomous University of Mexico (UNAM), Mexico.
His research interest includes variable structure systems. He has co-authored and has been a Co-Editor for 11 books and 17 special issues devoted to the sliding mode control.
In 2014-2018 he served as a Chair of TC on Variable Structure and Sliding Mode Control of IEEE Control Systems Society. He was a recipient of a Scopus prize for the best cited Mexican Scientists in Mathematics and Engineering and the best researcher of UNAM in exact science.
Prof. Fridman served and serves as an associated editor in different leading journals of control theory and applied mathematics. He was working as an invited professor in more than 20 universities and research laboratories of Argentina, Australia, Austria, China, France, Germany, Italy, Israel, and Spain. Actually, Professor Fridman is also an International Chair of INRIA, France, and a High-Level Foreign Expert of Ministry of Education of China.
University of California, Santa Barbara
Speech title: Markov Chain-Based Stochastic Strategies for Robotic Surveillance
Abstract: This talk surveys recent advancements of strategy designs for persistent robotic surveillance tasks with the focus on stochastic approaches. The problem describes how mobile robots stochastically patrol a graph in an efficient way where the efficiency is defined with respect to relevant underlying performance metrics. We first start by reviewing the basics of Markov chains, which is the primary motion model for stochastic robotic surveillance. Then two main criteria regarding the speed and unpredictability of surveillance strategies are discussed. The central objects that appear throughout the treatment is the hitting times of Markov chains, their distributions and expectations. We formulate various optimization problems based on the concerned metrics in different scenarios and establish their respective properties.
Bio.: Francesco Bullo is a Professor with the Mechanical Engineering Department and the Center for Control, Dynamical Systems and Computation at the University of California, Santa Barbara. He was previously associated with the University of Padova (Laurea degree in Electrical Engineering, 1994), the California Institute of Technology (Ph.D. degree in Control and Dynamical Systems, 1999), and the University of Illinois. He served on the editorial boards of IEEE, SIAM, and ESAIM journals and as IEEE CSS President; he is currently serving as Chair of the SIAM Activity Group on Control and Systems Theory. His research interests focus on network systems and distributed control with application to robotic coordination, power grids and social networks. He is the coauthor of “Geometric Control of Mechanical Systems” (Springer, 2004), “Distributed Control of Robotic Networks” (Princeton, 2009), and “Lectures on Network Systems” (Kindle Direct Publishing, 2019, v1.3). He received best paper awards for his work in IEEE Control Systems, Automatica, SIAM Journal on Control and Optimization, IEEE Transactions on Circuits and Systems, and IEEE Transactions on Control of Network Systems. He is a Fellow of IEEE, IFAC, and SIAM.