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Stability analysis of distributed Kalman filtering algorithm for stochastic regression model

In this paper, a distributed Kalman filtering (DKF) algorithm is proposed based on a diffusion strategy, which is used to track an unknown signal process in sensor networks cooperatively. Unlike the centralized algorithms, no fusion center is need he

Externí odkaz: http://arxiv.org/abs/2411.01198

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Stability of FFLS-based diffusion adaptive filter under a cooperative excitation condition

Autor: Gan, Die, Xie, Siyu, Liu, Zhixin, Lv, Jinhu

In this paper, we consider the distributed filtering problem over sensor networks such that all sensors cooperatively track unknown time-varying parameters by using local information. A distributed forgetting factor least squares (FFLS) algorithm is

Externí odkaz: http://arxiv.org/abs/2310.06287

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Convergence of the Distributed SG Algorithm Under Cooperative Excitation Condition

Autor: Gan, Die, Liu, Zhixin

In this paper, a distributed stochastic gradient (SG) algorithm is proposed where the estimators are aimed to collectively estimate an unknown time-invariant parameter from a set of noisy measurements obtained by distributed sensors. The proposed dis

Externí odkaz: http://arxiv.org/abs/2203.02743

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Distributed Sparse Identification for Stochastic Dynamic Systems under Cooperative Non-Persistent Excitation Condition

Autor: Gan, Die, Liu, Zhixin

This paper considers the distributed sparse identification problem over wireless sensor networks such that all sensors cooperatively estimate the unknown sparse parameter vector of stochastic dynamic systems by using the local information from neighb

Externí odkaz: http://arxiv.org/abs/2203.02737

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Distributed order estimation of ARX model under cooperative excitation condition

Autor: Gan, Die, Liu, Zhixin

In this paper, we consider the distributed estimation problem of a linear stochastic system described by an autoregressive model with exogenous inputs (ARX) when both the system orders and parameters are unknown. We design distributed algorithms to e

Externí odkaz: http://arxiv.org/abs/2110.09826

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