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美国普渡大学教授Inseok Hwang讲座通知
发布人:刘玉菡  发布时间:2019-05-08   浏览次数:10

       在国际项目管理中心资助下,应航天学院卫星技术研究所王峰教授的邀请美国普渡大学航空航天学院(School of Aeronautics and Astronautics, Purdue University)教授Inseok Hwang即将于2019520-2019523日访问我校。访问期间将在我校开展学术报告。欢迎感兴趣的老师和同学参加。


讲座时间:521号,9:00-11:00

讲座地点:活动中心326

讲座题目:High Assurance Autonomy for Cyber-Physical Systems:Secure Control Analysis and Design


讲座内容:Security of Cyber-Physical Systems (CPS) against malicious cyberattacks is an important yet challenging problem. Since most cyberattacks happen in erratic ways, it is usually intractable to describe and diagnose them systematically. Motivated by such difficulties, this work presents a set of theories and algorithms for a cyber-secure control architecture for the CPS from the control theoretic perspective. Our efforts are divided in two folds: 1) we first investigate the detectability of cyberattacks from the system’s behavior under cyberattacks. Specifically, we conduct a study on vulnerabilities in the CPS’s monitoring system against the stealthy cyberattack that is carefully designed to avoid being detected by its detection scheme; and 2) a cyber-secure control strategy for CPS that are robust to various types of cyberattacks is developed. While most existing studies have investigated secure control by assuming specific attack strategies, in this research we propose a robust hybrid control scheme which can be secure to a wide range of cyberattacks. The proposed cyber secure controller is composed of multiple sub-controllers, each matched to a different type of cyberattack. A CPS using this control scheme is able to adapt its behavior to various cyberattacks by switching sub-controllers to achieve the best performance. The proposed analysis and control methods are demonstrated with illustrative examples on Unmanned Aerial System (UAS) applications.

  

 

讲座时间:522号,9:00-11:00

讲座地点:活动中心326

讲座题目:Space Situational Awareness: Maneuvering Spacecraft Tracking via State-Dependent Adaptive Estimation


讲座内容:As space has become highly congested by many space objects, space situational awareness (SSA) has become crucial for the safe operation of space assets. One of the challenging tasks in SSA is the surveillance and tracking of spacecraft that have the maneuver capability to perform various space missions. Those tasks are essential to accurately predict the future trajectories of the maneuvering spacecraft, and thus to effectively manage the safety of adjacent spacecraft. This emphasizes the need to develop effective and efficient techniques for maneuvering spacecraft tracking. However, the accurate tracking of impulsively maneuvering spacecraft is a challenging problem since the magnitude and the time of occurrence of impulsive maneuvers are usually unknown a priori. To deal with this problem, an adaptive state estimation, called hybrid estimation, algorithm is developed in this study using a bank of the extended Kalman filters along with interacting multiple models which account for the motion of spacecraft with and without impulsive maneuvers. Motivated by the fact that impulsive maneuvers usually occur when certain conditions on the state of the spacecraft are satisfied, the multiple extended Kalman filters are systematically blended using a state-dependent transition probability. Since the information on the conditions based on which the impulsive maneuvers occur is explicitly utilized in the state-dependent transition probability, the proposed algorithm can predict the impulsive maneuvers more accurately and thus produce more accurate state estimates. The proposed algorithm is demonstrated with two illustrative examples of tracking geostationary satellites that perform station keeping maneuvers and tracking of a spacecraft performing orbital transfers.