应自动化学院邀请，西班牙哈恩大学Raquel Caballero Águila教授于2025年5月21日-27日来我院进行学术交流，为我院教师和研究生讲学，欢迎自动化学院及全校相关教师、博士生、硕士生参加！
报告题目：Covariance-based estimation for clustered sensor networks subject to random deception attacks
报告地点：新主楼E1404室
报告时间：2025年5月26日8:30-11:30
报告简介：In this talk, we introduce a novel two-stage, covariance-based distributed fusion estimation framework for clustered sensor networks operating under random deception attacks. We consider discrete-time stochastic signals whose measurements are gathered by sensors organized into clusters; each cluster is connected to a local processor, which aggregates its sensors’ outputs, and the local processors of all clusters are in turn connected to a global fusion center.
In the first stage, each sensor transmits its measurements to its local processor, where innovation-based local least-squares estimators (filters and smoothers) are designed, taking into account that during this transmission the measured outputs are affected by random deception attacks with known, sensor-specific success probabilities. In the second stage, these local estimates are sent to the global fusion center and combined via a minimum mean square error matrix-weighted fusion rule to produce the proposed fusion estimators.
A key advantage of our approach is its reliance only on the first and second moments of the processes in the observation model, eliminating the need for full knowledge of the underlying signal evolution. Through numerical simulations, we illustrate the theoretical results and we analyze how varying attack success probabilities impact estimation accuracy.
专家简介：Raquel Caballero-Águila received the B.Sc. degree in mathematics and the Ph.D. degree in mathematical sciences, from the University of Granada, Granada, Spain, in 1997 and 1999, respectively. In 1997, she joined the University of Jaén, Jaén, Spain, where she is currently a Full Professor with the Department of Statistics and Operations Research. She has authored or coauthored more than 80 papers in refereed international journals. Her research interests include time-varying stochastic systems, complex networks, filtering, prediction and smoothing. She is a Reviewer of Mathematical Reviews and also with the editorial board of Systems Science and Control Engineering.