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Almost Sure Distributed Robust Observer With Unknown Inputs
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DOI：10.1109/TCNS.2025.3620724.png)
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Abstract
En 中文
In this article, we deal with the distributed state estimation problem for target systems with unknown inputs, where the communication channels are affected by disturbances. During the communication process, the communication disturbances are relatively small most of the time, but occasionally large communication disturbances can occur. First, this communication disturbance is modeled as a mixed disturbance: stochastic noise and impulsive disturbance. Here, stochastic noise represents relatively small communication disturbance most of the time, and impulsive disturbance accounts for occasionally large communication disturbance. In addition, the occurrences of impulses follow a Poisson process. Then, a distributed unknown input observer (DUIO) under mixed disturbance is proposed. The sample path behavior of the DUIO is analyzed, and sufficient conditions for the existence of the almost sure DUIO are presented using graph theory and stochastic analysis. Finally, the validity of the designed almost sure DUIO is confirmed through numerical simulations.
Keywords:
Noise
Stochastic processes
Observers
Kalman filters
Filtering
Symmetric matrices
Laplace equations
Vectors
Noise measurement
Indium tin oxide
Communication noise
distributed observer
impulsive disturbance
state estimation
unknown input
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5
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1.7K
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5.8K
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