6 citations · 9 across the 9 of their papers we have counts for
10 papers
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)…
Linear Model Predictive Control under Continuous Path Constraints via Parallelized Primal-Dual Hybrid Gradient Algorithm
Zishuo Li, Bo Yang, Jiayun Li +2
In this paper, we consider a Model Predictive Control (MPC) problem of a continuous-time linear time-invariant system subject to continuous-time path constraints on the states and…
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…
Aggressive Racecar Drifting Control Using Onboard Cameras and Inertial Measurement Unit
Shuaibing Lin, JiaLiang Qu, Zishuo Li +2
Complex autonomous driving, such as drifting, requires high-precision and high-frequency pose information to ensure accuracy and safety, which is notably difficult when using only…
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,…
Low Complexity Secure State Estimation Design for Linear System with Non-derogatory Dynamics
Zishuo Li, Yilin Mo
We consider the problem of estimating the state of a linear Gaussian system in the presence of integrity attacks. The attacker can compromise out of sensors, the set of whi…
Game Theoretical Approach to Sequential Hypothesis Test with Byzantine Sensors
Zishuo Li, Yilin Mo, Fei Hao
In this paper, we consider the problem of sequential binary hypothesis test in adversary environment based on observations from s sensors, with the caveat that a subset of c sensor…