1 code implementation • 25 Apr 2024 • Yihan Zhou, Yiwen Lu, Zishuo Li, Jiaqi Yan, Yilin Mo
However, the size of the optimization problem in DeePC grows linearly with respect to the data size, which prohibits its application due to high computational costs.
1 code implementation • 25 Mar 2024 • Jintong Hu, Hui Che, Zishuo Li, Wenming Yang
Ultrasound imaging is crucial for evaluating organ morphology and function, yet depth adjustment can degrade image quality and field-of-view, presenting a depth-dependent dilemma.
1 code implementation • 8 Dec 2023 • Yiwen Lu, Zishuo Li, Yihan Zhou, Na Li, Yilin Mo
In this paper, we introduce a new class of parameterized controllers, drawing inspiration from Model Predictive Control (MPC).
no code implementations • 30 Mar 2023 • Zishuo Li, Anh Tung Nguyen, André Teixeira, Yilin Mo, Karl H. Johansson
To deal with such attacks, we propose the design of local estimators based on observability space decomposition, where each local estimator updates the local state and sends it to the fusion center after sampling a measurement.
no code implementations • 10 Nov 2022 • Zishuo Li, Muhammad Umar B. Niazi, Changxin Liu, Yilin Mo, Karl H. Johansson
At each time step, the local estimates of sensors are fused by solving an optimization problem to obtain a secure estimation, which is then followed by a local detection-and-resetting process of the decentralized observers.
no code implementations • 6 Jun 2021 • 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.
no code implementations • 13 May 2021 • Zishuo Li, Yilin Mo
We consider the problem of estimating the state of a linear Gaussian system in the presence of integrity attacks.