5 papers
Identification with Orthogonal Basis Functions: Convergence Speed, Asymptotic Bias, and Rate-Optimal Pole Selection
Jiayun Li, Yiwen Lu, Yilin Mo +1
This paper is concerned with performance analysis and pole selection problem in identifying linear time-invariant (LTI) systems using orthogonal basis functions (OBFs), a system id…
Verifiable Model-Free Safety Filters via Reinforcement Learning
Bihui Yin, Yiwen Lu, Yuchen Jiang +1
This paper presents a reinforcement learning approach of a model-free safety filter, drawing inspiration from the framework of model-based Predictive Safety Filters (PSFs). Similar…
Secure Filtering against Spatio-Temporal False Data Attacks under Asynchronous Sampling
Zishuo Li, Anh Tung Nguyen, André M. H. Teixeira +2
This paper addresses the secure state estimation problem for continuous linear time-invariant systems with non-periodic and asynchronous sampled measurements, where the sensors nee…
Finite Sample Performance Analysis of MIMO Systems Identification
Shuai Sun, Jiayun Li, Yilin Mo
This paper is concerned with the finite sample identification performance of an n dimensional discrete-time Multiple-Input Multiple-Output (MIMO) Linear Time-Invariant system, with…
Learning to Drift with Individual Wheel Drive: Maneuvering Autonomous Vehicle at the Handling Limits
Yihan Zhou, Yiwen Lu, Bo Yang +2
Drifting, characterized by controlled vehicle motion at high sideslip angles, is crucial for safely handling emergency scenarios at the friction limits. While recent reinforcement…