2 citations · 3 across the 7 of their papers we have counts for
8 papers · 1 filter
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…
Learning-Based Efficient Approximation of Data-Enabled Predictive Control
Yihan Zhou, Yiwen Lu, Zishuo Li +2
Data-Enabled Predictive Control (DeePC) bypasses the need for system identification by directly leveraging raw data to formulate optimal control policies. However, the size of the…
MPC-Inspired Reinforcement Learning for Verifiable Model-Free Control
Yiwen Lu, Zishuo Li, Yihan Zhou +2
In this paper, we introduce a new class of parameterized controllers, drawing inspiration from Model Predictive Control (MPC). The controller resembles a Quadratic Programming (QP)…
Secure State Estimation with Asynchronous Measurements against Malicious Measurement-data and Time-stamp Manipulation
Zishuo Li, Anh Tung Nguyen, André Teixeira +2
This paper proposes a secure state estimation scheme with non-periodic asynchronous measurements for linear continuous-time systems under false data attacks on the measurement tran…
Secure State Estimation against Sparse Attacks on a Time-varying Set of Sensors
Zishuo Li, Muhammad Umar B. Niazi, Changxin Liu +2
This paper studies the problem of secure state estimation of a linear time-invariant (LTI) system with bounded noise in the presence of sparse attacks on an unknown, time-varying s…
Efficient Secure State Estimation against Sparse Integrity Attack for System with Non-derogatory Dynamics
Zishuo Li, Yilin Mo
We consider the problem of estimating the state of a time-invariant linear Gaussian system in the presence of integrity attacks. The attacker can compromise out of sensors,…