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Event-based distributed set-membership estimation for complex networks under deception attacks
C Hu, S Ding, X **e - IEEE Transactions on Automation Science …, 2023 - ieeexplore.ieee.org
This paper addresses the problem of event-based distributed set-membership estimation for
complex networks with unknown but bounded (UBB) disturbances. To reflect the …
complex networks with unknown but bounded (UBB) disturbances. To reflect the …
Nonfragile extended dissipativity state estimator design for discrete-time neural networks with time-varying delay
G Tan, Z Wang, S **ao - Neurocomputing, 2023 - Elsevier
This paper studies the issue of nonfragile extended dissipativity state estimator design for
discrete-time neural networks with time-varying delay. Firstly, a class of nonfragile …
discrete-time neural networks with time-varying delay. Firstly, a class of nonfragile …
A Periodic Event-triggered Vehicle Platooning Scheme Against Denial-of-Service Attacks
J Liu, S Ding, Y **g, X **e - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
This paper is concerned with a periodic event-triggered control problem of vehicle
platooning systems over vehicular ad-hoc networks (VANETs) subject to denial-of-service …
platooning systems over vehicular ad-hoc networks (VANETs) subject to denial-of-service …
Event-based Secure Filtering under Two-Channel Stochastic Attacks and Switching Topologies over Wireless Sensor Networks
This paper investigates the distributed secure filtering problem for discrete-time nonlinear
systems over wireless sensor networks subject to deception attacks and switching …
systems over wireless sensor networks subject to deception attacks and switching …
Probability-guaranteed distributed set-membership secure fusion estimation against nonlinear hybrid attacks
K Chen, H Song, P Shi, WA Zhang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
This paper investigates the distributed secure fusion estimation problem under stochastic
nonlinear hybrid attacks. Specifically, this work analyzes a hybrid attack scenario where the …
nonlinear hybrid attacks. Specifically, this work analyzes a hybrid attack scenario where the …
Data-driven event-triggered bipartite consensus for multi-agent systems preventing doS attacks
This letter considers event-triggered bipartite consensus issues for discrete-time nonlinear
networked multi-agent systems with antagonistic interactions and denial-of-service (DoS) …
networked multi-agent systems with antagonistic interactions and denial-of-service (DoS) …
Local Design of Distributed State Estimators for Linear Discrete Time-Varying Systems Over Binary Sensor Networks: A Set-Membership Approach
This article is concerned with the distributed set-membership estimation problem for a class
of discrete time-varying systems over binary sensor networks. For the binary sensors, the …
of discrete time-varying systems over binary sensor networks. For the binary sensors, the …
Distributed Fault Estimation Over Sensor Networks With Randomly Switching Topologies Under Binary Encoding Scheme
In this article, a distributed fault estimator is designed for nonlinear systems over sensor
networks subject to randomly switching topologies under binary encoding scheme. Binary …
networks subject to randomly switching topologies under binary encoding scheme. Binary …
A sequential approach for distributed set-membership estimation to exploit redundant information
L Orihuela - ISA transactions, 2024 - Elsevier
This manuscript proposes a novel approach for the distributed set-membership estimation of
linear time-invariant plants. The method is based on sequentially exploiting the information …
linear time-invariant plants. The method is based on sequentially exploiting the information …
Distributed Set-Membership Estimation Over Sensor Networks via an Event-Driven Dynamic Quantization Scheme
Y **e, S Ding, Y **g, X **e - IEEE Systems Journal, 2024 - ieeexplore.ieee.org
This article addresses the problem of distributed set-membership estimation for a resource-
constrained sensor network. The central aim is to acquire the desired ellipsoidal estimation …
constrained sensor network. The central aim is to acquire the desired ellipsoidal estimation …