报告题目：Resilient Estimation for Autonomy Applications

报告时间：2023年10月26日（星期四）  10:00

报告形式与地点：线下讲座 空管楼C座201

报告专家：Dr. Luis A. Duffaut Espinosa

讲座内容：

There is an open debate about what is the appropriate framework for the utilization of input-output data to alter the behavior of a system at will. In this context, any methodology that relies only on data is prone to failure when the information used is naturally or purposely contaminated such as sensor failure. In particular, the area of multi-agent systems relies heavily on sensors and intercommunication channels for carrying out a desired task that requires coordination among the agents.

The talk will discuss one approach for handling the control of unknown nonlinear systems. The method relies on the fact that when a system is sampled sufficiently fast its complexities can be aggregated into a set of time-varying parameters that can be estimated directly from input-output information. Complexities here account for uncertainties and system nonlinearities. The estimation of such time-varying parameters is handled by a robust Kalman filter that can overcome corrupt information in the form of outliers. There is an open debate about what is the appropriate framework for the utilization of input-output data to alter the behavior of a system at will. In this context, any methodology that relies only on data is prone to failure when the information used is naturally or purposely contaminated such as sensor failure. In particular, the area of multi-agent systems relies heavily on sensors and intercommunication channels for carrying out a desired task that requires coordination among the agents.

报告专家简介:   

Dr. Luis A. Duffaut Espinosa is an assistant professor at the Department of Electrical and Biomedical Engineering at the University of Vermont. He received a B.S. degree in physics from the Universidad Nacional de Ingenieria, Lima, Perú, in 2003, an M.S. degree in mathematics with a mention in stochastic processes from the Pontificia Universidad Católica del Perú, Lima, Perú, in 2005, and the Ph.D. degree in electrical and computer engineering from Old Dominion University, Norfolk, VA, USA, in 2009. He held postdoctoral positions at Johns Hopkins University and the University of New South Wales (Australia) in 2010 and 2011-2013, respectively. His research lies in the intersection of control, estimation, and signal processing. One of his long goals is to develop a general framework for the control and estimation of uncertain nonlinear systems that generalize the algebra of convolutions used for linear systems.  Currently, this framework serves for the systematic design of control laws, data-driven reachability analysis, and model-free Kalman filters, and the robustification of multi-agent systems applications. He is applying these methodologies to efficient real-time data assimilation and spatial reconstruction in harsh environments with limited information, model-free control of multi-agent systems. His research has been funded by the National Science Foundation, the Department of Energy, the Cold Regions Research and Engineering Laboratory, etc..

欢迎感兴趣的老师、本科及研究生同学踊跃参会交流!

电子信息与自动化学院

2023年10月24日