Recursive quadratic filtering for linear discrete non-Gaussian systems over time-correlated fading channels

S Wang, Z Wang, H Dong, Y Chen… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this paper, the recursive quadratic filtering issue is addressed for a class of linear discrete-
time systems with non-Gaussian noises over time-correlated fading channels. The time …

Quadratic filtering for discrete time-varying non-Gaussian systems under binary encoding schemes

S Wang, Z Wang, H Dong, B Shen, Y Chen - Automatica, 2023 - Elsevier
This paper is concerned with the recursive quadratic filtering problem for a class of linear
discrete-time systems subject to non-Gaussian noises. Considering its robustness against …

[HTML][HTML] Quadratic estimation for stochastic systems in the presence of random parameter matrices, time-correlated additive noise and deception attacks

R Caballero-Águila, J Linares-Pérez - Journal of the Franklin Institute, 2023 - Elsevier
Networked systems usually face different random uncertainties that make the performance of
the least-squares (LS) linear filter decline significantly. For this reason, great attention has …

Distributed estimation for multi‐agent systems with relative measurements and quantized communication: A feedback quadratic framework

Q Liu, S Zheng, Z Wang, ND Alotaibi… - International Journal of …, 2023 - Wiley Online Library
In this paper, the feedback quadratic distributed state estimation problem is investigated for
a class of linear discrete time‐varying multi‐agent systems subject to non‐Gaussian noises …

Quadratic filtering for linear stochastic systems with dynamical bias under amplify-and-forward relays: Dealing with non-Gaussian noises

S Wang, Z Wang, Q Liu, H Dong, H Liu - Automatica, 2024 - Elsevier
In this paper, the recursive quadratic filtering problem is investigated for a class of linear non-
Gaussian systems with dynamical bias and amplify-and-forward relays. The stochastic bias …

Cooperative filtering with absolute and relative measurements

S Battilotti, F Cacace, M d'Angelo… - 2018 IEEE Conference …, 2018 - ieeexplore.ieee.org
We consider a cooperative filtering problem for a group of linear stochastic systems when
both absolute linear measurements and relative nonlinear measurements are available. By …

Dynamic Event-Triggered Quadratic Nonfragile Filtering for Non-Gaussian Systems: Tackling Multiplicative Noises and Missing Measurements

S Wang, Z Wang, H Dong, Y Chen… - IEEE/CAA Journal of …, 2024 - ieeexplore.ieee.org
This paper focuses on the quadratic nonfragile filtering problem for linear non-Gaussian
systems under multiplicative noises, multiple missing measurements as well as the dynamic …

The polynomial approach to the LQ non-Gaussian regulator problem through output injection

S Battilotti, F Cacace, M d'Angelo… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
In this paper, an improved approach for the solution of the regulator problem for linear
discrete-time dynamical systems with non-Gaussian disturbances and quadratic cost …

Kalman-like filtering with intermittent observations and non-Gaussian noise

S Battilotti, F Cacace, M d'Angelo, A Germani… - IFAC-PapersOnLine, 2019 - Elsevier
The paper concerns the sub-optimal filtering problem when the measurement signal is sent
through an unreliable channel and the noise signals are not necessarily Gaussian. In …

Feedback polynomial filtering and control of non-Gaussian linear time-varying systems

F Cacace, F Conte, M d'Angelo, A Germani - Systems & Control Letters, 2019 - Elsevier
This paper deals with the optimal filtering and optimal output-feedback control of discrete-
time, linear time-varying non-Gaussian systems. In the hypothesis that the time-varying and …