6 papers
Distributed adaptive estimation for stochastic large regression models
Die Gan, Siyu Xie, Zhixin Liu +1
This paper studies the distributed adaptiveestimation problems for stochastic large regression modelswith an infinite number of parameters. By constructing a re-cursive local cost…
Stability analysis of distributed Kalman filtering algorithm for stochastic regression model
Siyu Xie, Die Gan, Zhixin Liu
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 coopera…
Stability of FFLS-based diffusion adaptive filter under a cooperative excitation condition
Die Gan, Siyu Xie, Zhixin Liu +1
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 informati…
Convergence of the Distributed SG Algorithm Under Cooperative Excitation Condition
Die Gan, Zhixin Liu
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 o…
Distributed Sparse Identification for Stochastic Dynamic Systems under Cooperative Non-Persistent Excitation Condition
Die Gan, Zhixin Liu
This paper considers the distributed sparse identification problem over wireless sensor networks such that all sensors cooperatively estimate the unknown sparse parameter vector of…
Distributed order estimation of ARX model under cooperative excitation condition
Die Gan, Zhixin Liu
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 or…