Results 11 to 20 of about 643,482 (190)

Event-triggered distributed filtering for discrete-time systems with integral measurements

open access: yesSystems Science & Control Engineering, 2021
This paper handles the event-triggered distributed filtering problem for a class of discrete-time systems with integral measurements over sensor networks (SNs). First of all, a plant is monitored by an SN formulated by a digraph. The integral measurement
Gang Cong   +3 more
doaj   +1 more source

The Optimal Distributed Kalman Filtering Fusion With Linear Equality Constraint

open access: yesIEEE Access, 2021
In this paper, the optimal distributed Kalman filtering fusion with linear equality constraint (LEC) is proposed. When the Kalman filter subject to LEC is applied in state estimation of distributed linear dynamic system, all local error covariance ...
Hua Li, Shengli Zhao
doaj   +1 more source

Distributed filtering for delayed nonlinear system with random sensor saturation: a dynamic event-triggered approach

open access: yesSystems Science & Control Engineering, 2021
This paper is concerned with the distributed filtering problem for a class of delayed nonlinear systems with random sensor saturation (RSS) under a dynamic event-triggered mechanism. The nonlinear function is assumed to satisfy the Lipschitz condition. A
Zehao Li, Jun Hu, Jiaxing Li
doaj   +1 more source

Distributed Robust Filtering for Wireless Sensor Networks with Markov Switching Topologies and Deception Attacks

open access: yesSensors, 2020
This paper is concerned with the distributed full- and reduced-order l 2 - l ∞ state estimation issue for a class of discrete time-invariant systems subjected to both randomly occurring switching topologies and deception attacks over ...
Fengzeng Zhu   +4 more
doaj   +1 more source

A survey on distributed filtering, estimation and fusion for nonlinear systems with communication constraints: new advances and prospects

open access: yesSystems Science & Control Engineering, 2020
In this paper, some recent results on the distributed filtering, estimation and fusion algorithms for nonlinear systems with communication constraints are reviewed.
Zhibin Hu, Jun Hu, Guang Yang
doaj   +1 more source

Filtering Strategies for Deformation-Rate Distributed Acoustic Sensing

open access: yesSensors, 2022
Deformation-rate distributed acoustic sensing (DAS), made available by the unique designs of certain interrogator units, acquires seismic data that are theoretically equivalent to the along-fiber particle velocity motion recorded by geophones for ...
Jihyun Yang, Jeffrey Shragge, Ge Jin
doaj   +1 more source

A mobile sensing approach to distributed consensus filtering of 2D stochastic nonlinear parabolic systems with disturbances

open access: yesSystems Science & Control Engineering, 2023
The focus of this paper is on distributed consensus filtering in two-dimensional (2D) space for stochastic nonlinear parabolic systems with disturbances. Distributed filters are used in mobile sensor networks to achieve consensus estimate. By utilizing a
Xueming Qian, Baotong Cui
doaj   +1 more source

Distributional Clauses Particle Filter [PDF]

open access: yes, 2014
We review the Distributional Clauses Particle Filter (DCPF), a statistical relational framework for inference in hybrid domains over time such as vision and robotics. Applications in these domains are challenging for statistical relational learning as they require dealing with continuous distributions and dynamics in real-time.
Nitti, Davide   +2 more
openaire   +1 more source

Distributed High-Degree Cubature Information Filter With Embedded Hybrid Consensus

open access: yesIEEE Access, 2019
To settle the problem of distributed nonlinear state estimation in sensor networks with naive nodes, a novel distributed high-degree cubature information filter with embedded hybrid consensus (DHCIF) is proposed.
Jun Liu   +4 more
doaj   +1 more source

Mathematical control of complex systems 2013 [PDF]

open access: yes, 2014
Mathematical control of complex systems have already become an ideal research area for control engineers, mathematicians, computer scientists, and biologists to understand, manage, analyze, and interpret functional information/dynamical behaviours from ...
Dong, H   +5 more
core   +4 more sources

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