In this paper we consider the problem of distributed, joint, state estimation and identification for a class of stochastic systems with unknown inputs (UI). A distributed Expectation-Maximization (EM) algorithm is presented to estimate the local state a
Estimating the unknown parameters of a statistical model based on the observations collected by a se...
The paper considers the problem of distributed estimation of an unknown deterministic scalar paramet...
Networked systems comprised of multiple nodes with sensing, processing, and communication capabiliti...
In this paper we consider the problem of distributed, joint, state estimation and identification for...
International audienceThis paper proposes a distributed method for jointly estimating the input and ...
In this study, the authors consider the distributed state estimation problem of a stochastic linear ...
International audienceThis paper provides a solution for distributed input and state estimation, sim...
This paper is concerned with the problem of distributed state estimation for a class of sensor netwo...
State estimation for a class of linear time-invariant systems with distributed output measurements (...
This paper considers state estimation of hidden Markov models by sensor networks. By employing feedb...
In this work we consider the problem of simultaneously classifying sensor types and estimating hidde...
In this paper, we consider the problem of simultaneously classifying sensor types and estimating hid...
In this paper, we consider the problem of simultaneously classifying sensor types and estimating hid...
A new distributed input and state estimation architecture is introduced and analyzed for heterogeneo...
This article is concerned with the robust distributed state estimation problem for a class of uncert...
Estimating the unknown parameters of a statistical model based on the observations collected by a se...
The paper considers the problem of distributed estimation of an unknown deterministic scalar paramet...
Networked systems comprised of multiple nodes with sensing, processing, and communication capabiliti...
In this paper we consider the problem of distributed, joint, state estimation and identification for...
International audienceThis paper proposes a distributed method for jointly estimating the input and ...
In this study, the authors consider the distributed state estimation problem of a stochastic linear ...
International audienceThis paper provides a solution for distributed input and state estimation, sim...
This paper is concerned with the problem of distributed state estimation for a class of sensor netwo...
State estimation for a class of linear time-invariant systems with distributed output measurements (...
This paper considers state estimation of hidden Markov models by sensor networks. By employing feedb...
In this work we consider the problem of simultaneously classifying sensor types and estimating hidde...
In this paper, we consider the problem of simultaneously classifying sensor types and estimating hid...
In this paper, we consider the problem of simultaneously classifying sensor types and estimating hid...
A new distributed input and state estimation architecture is introduced and analyzed for heterogeneo...
This article is concerned with the robust distributed state estimation problem for a class of uncert...
Estimating the unknown parameters of a statistical model based on the observations collected by a se...
The paper considers the problem of distributed estimation of an unknown deterministic scalar paramet...
Networked systems comprised of multiple nodes with sensing, processing, and communication capabiliti...
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