7 papers
WaveLander: A Generalizable Hierarchical Control Framework for UAV Landing on Wave-Disturbed Platforms via Reinforcement Learning
Chun-Kit Li, Iok Long Sit, Ming Fung Siu +4
Autonomous landing of unmanned aerial vehicles (UAVs) on wave-disturbed marine platforms remains challenging due to stochastic platform motion, time-varying platform attitude, and…
Data-Driven Structured Control for Continuous-Time LTI Systems
Zhaohua Yang, Yuxing Zhong, Ling Shi
This paper addresses the data-driven structured controller design problem for continuous-time linear time-invariant (LTI) systems. We consider three control objectives, including s…
Bandwidth-Constrained Sensor Scheduling: A Trade-off between Fairness and Efficiency
Yuxing Zhong, Yuchi Wu, Daniel E. Quevedo +1
We address fair sensor scheduling over bandwidth-constrained communication channels. While existing literature on fair scheduling overlooks overall system efficiency, we introduce…
Interior-Point-based H2 Controller Synthesis for Compartmental Systems
Zhaohua Yang, Nachuan Yang, Pengyu Wang +3
This paper addresses the problem of the optimal controller design for compartmental systems. In other words, we aim to enhance system robustness while maintaining the law of…
Optimal Actuator Attacks on Autonomous Vehicles Using Reinforcement Learning
Pengyu Wang, Jialu Li, Ling Shi
With the increasing prevalence of autonomous vehicles (AVs), their vulnerability to various types of attacks has grown, presenting significant security challenges. In this paper, w…
Learning-based Detection of GPS Spoofing Attack for Quadrotors
Pengyu Wang, Zhaohua Yang, Jialu Li +1
Safety-critical cyber-physical systems (CPS), such as quadrotor UAVs, are particularly prone to cyber attacks, which can result in significant consequences if not detected promptly…